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Conference papers
@inproceedings{cohrs2023large, title={Large Language Models for Constrained-Based Causal Discovery}, author={Cohrs, Kai-Hendrik and Diaz, Emiliano and Sitokonstantinou, Vasileios and Varando, Gherardo and Camps-Valls, Gustau}, booktitle={AAAI 2024 Workshop on''Are Large Language Models Simply Causal Parrots?''}, year={2023} } @inproceedings{tsoumas23neurips, title = {{Causality and Explainability for Trustworthy Integrated Pest Management}}, author={Tsoumas, Ilias and Sitokonstantinou, Vasileios and Giannarakis, Georgios and Lampiri, Evagelia and Athanassiou, Christos and Camps-Valls, Gustau and Kontoes, Charalampos and Athanasiadis, Ioannis}, year = 2023, booktitle = {NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning}, arxiv = {https://arxiv.org/abs/2312.04343} } @article{tsoumas2023causality, title={Causality and Explainability for Trustworthy Integrated Pest Management}, year={2023} } @inproceedings{varando2023cms, title={{Learning Causal Representations with Granger Rotated PCA}}, author={Gherardo Varando, Homer Durand, Miguel-Angel Fernandez-Torres, Jordi Munoz-Mari, Maria Piles, Gustau Camps-Valls}, booktitle={16th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2023)}, year={2023}, month = {Dec}, date = {Dec, 16-18, 2023}, address = {Berlin, Germany}, web = {http://www.cmstatistics.org/CMStatistics2023/index.php}, publisher={CMS} } @inproceedings{martinez2023exploring, title={Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction}, author={Mart{\'\i}nez-Ferrer, Laura and Jungbluth, Anna and Gallego-Mejia, Joseph A and Allen, Matt and Dorr, Francisco and Kalaitzis, Freddie and Ramos-Poll{\'a}n, Ra{\'u}l}, arxiv={https://arxiv.org/abs/2310.02048}, year={2023} } @inproceedings{allen2023large, title={Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data}, author={Allen, Matt and Dorr, Francisco and Gallego-Mejia, Joseph A and Mart{\'\i}nez-Ferrer, Laura and Jungbluth, Anna and Kalaitzis, Freddie and Ramos-Poll{\'a}n, Ra{\'u}l}, arxiv={https://arxiv.org/abs/2310.00826}, year={2023} } @inproceedings{allen2023fewshot, title={Fewshot learning on global multimodal embeddings for earth observation tasks}, author={Allen, Matt and Dorr, Francisco and Gallego-Mejia, Joseph A and Mart{\'\i}nez-Ferrer, Laura and Jungbluth, Anna and Kalaitzis, Freddie and Ramos-Poll{\'a}n, Ra{\'u}l}, arxiv={https://arxiv.org/abs/2310.00119}, year={2023} } @inproceedings{jm23wrcp, title={{Causal and explainable machine-learning models for hazard-induced displacement}}, author={Jose M. Tarraga, Eva Sevillano, Jordi Munoz-Mari, Maria Piles, Gustau Camps-Valls}, booktitle={World Climate Research Program}, year={2023}, month = {Dec}, date = {Oct, 23-27, 2023}, address = {Kigali, Rwanda}, web = {https://wcrp-osc2023.org/}, publisher={WRCP} } @inproceedings{cerda23wrcp, title={{Understanding food insecurity in Africa through data-driven causal inference methods}}, author={Jordi Cerdà, Jose M. Tarraga, Eva Sevillano, Jordi Munoz-Mari, Maria Piles, Gustau Camps-Valls}, booktitle={World Climate Research Program}, year={2023}, month = {Dec}, date = {Oct, 23-27, 2023}, address = {Kigali, Rwanda}, web = {https://wcrp-osc2023.org/}, pdf = {https://isp.uv.es/slides/wcrp23_poster_food_insecurity.pdf}, arxiv = {https://arxiv.org/pdf/2310.11287.pdf}, publisher={WRCP} } @inproceedings{pellicer2023esa, title={{Explainable Artificial Intelligence for Extreme Event Forecasting on Sentinel-2}}, author={Oscar J. Pellicer-Valero, Miguel Ángel Fernández-Torres, Gustau Camps-Valls}, booktitle={EC-ESA Joint Earth System Science Initiative}, year={2023}, month = {Nov}, date = {Nov, 22-24, 2023}, address = {Frascati, Italy}, web = {https://essi2023.esa.int/}, publisher={ESA} } @inproceedings{gu2023biomass, title={Biomass loss caused by wind disturbances in Amazonia}, author={Gu, Rong-Yu and Devadoss, Jashvina and Ciais, Philippe and Wigneron, Jean-Pierre and Piles, Maria and Leung, Ruby and Feng, Zhe and Chambers, Jeffrey Q and Feng, Yanlei and Gentine, Pierre}, booktitle={AGU23}, year={2023}, date = {Dec, 11-15, 2023}, address = {San Francisco, USA}, publisher={American Geophysical Union (AGU)} } @inproceedings{dominguez23agu, title={Using Remote Sensing Observations to Infer Rooting Depth in the Amazon}, author={Francina Dominguez, Carolina A Bieri and Maria Piles}, journal={AGU23}, year={2023}, date = {Dec, 11-15, 2023}, address = {San Francisco, USA}, publisher={American Geophysical Union (AGU)} } @inproceedings{mohit23agu, title={Insights into weather-driven forest mortality with a cross-modal transformer}, author={Mohit Anand, Lily-belle Sweet, Gustau Camps-Valls, Friedrich J. Bohn, Rico Fischer, Andreas Huth and Jakob Zscheischler}, booktitle={AGU23}, year={2023}, date = {Dec, 11-15, 2023}, address = {San Francisco, USA}, publisher={American Geophysical Union (AGU)} } @inproceedings{jm23agu, title={Causal and Explainable Machine learning to understand disaster-induced displacement}, author={José María Tárraga, Michele Ronco, Eva Sevillano Marco, Gustau Camps-Valls, Maria Teresa Miranda, Jordi Muñoz, Maria Piles and Jordi Cerdá}, booktitle={AGU23}, year={2023}, date = {Dec, 11-15, 2023}, address = {San Francisco, USA}, publisher={American Geophysical Union (AGU)} } @inproceedings{cerda2023evaluating, title={Evaluating the Impact of Humanitarian Aid on Food Security}, author={Cerd{\`a}-Bautista, Jordi and T{\'a}rraga, Jos{\'e} Mar{\'\i}a and Sitokonstantinou, Vasileios and Camps-Valls, Gustau}, journal={https://arxiv.org/abs/2310.11287}, year={2023} } @inproceedings{gulsen23whispers, title = {{A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images}}, author = {Gulsen Taskin, E. Fatih Yetkin and Gustau Camps}, year = 2023, booktitle = {Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. IEEE WHISPERS 2023}, address = {Athens, Greece}, pages = {1--4}, date = {Oct 31 - Nov 02 2023}, organization = {IEEE} } @inproceedings{vicent23earsl, title = {{Multi-fidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models}}, author = {Vicent Servera, Jorge and Martino, Luca and Verrelst, Jochem and Camps-Valls, Gustau}, year = 2023, booktitle = {13th EARSeL Workshop on Imaging Spectroscopy}, address = {València}, pages = 1, organization = {EARSL} } @inproceedings{ronco23iugg, title = {{Wildfire prediction and understanding with deep learning}}, author = {Michele Ronco, Spyros Kondylatos, Ioannis Prapas, Ioannis Papoutsis, Gustau Camps-Valls, María Piles, Miguel-Ángel Fernández-Torres, Rackhun Son, Nuno Carvalhais}, year = 2023, booktitle = {IUGG 2023, AI for Natural Hazards and Disaster Management}, address = {Berlin, Germany}, pages = 1, organization = {IUGG} } @inproceedings{papoutsis23iced, title = {{Earth observation as a tool to assess climate migration and policy-making: legal aspects}}, author = {Anthi Koskina, Manolis Plionis, Ioannis Papoutsis and Gustau Camps-Valls}, year = 2023, booktitle = {ICED2023, 4th International Conference on Environmental Design, ICED2023}, address = {Athens, Greece}, pages = {1--6}, organization = {ICED} } @inproceedings{achaibou2023guided, title = {{Guided Depth Completion Using Active Infrared Images in Time of Flight Systems}}, author = {Achaibou, Amina and Sanmart{\'\i}n-Vich, Nofre and Pla, Filiberto and Calpe, Javier}, year = 2023, booktitle = {Iberian Conference on Pattern Recognition and Image Analysis}, pages = {323--335}, organization = {Springer} } @inproceedings{camps23iahr, title = {{AI for the Earth sciences}}, author = {Gustau Camps-Valls}, year = 2023, booktitle = {IAHR World Congress 2023}, address = {Vienna, Austria}, volume = {}, pdf = {http://isp.uv.es/slides/iahr23_AI4Earth_25min_v3.pdf}, editor = {}, organization = {} } @inproceedings{camps23acai, title = {{Machine learning for modeling and understanding the Earth system}}, author = {Gustau Camps-Valls}, year = 2023, booktitle = {Summer school, ESSAI/ACAI 2023}, address = {Ljubljana, Slovenia}, volume = {}, pdf = {http://isp.uv.es/slides/gustau_ml4earth_26_07_2023_3h.pdf}, editor = {}, organization = {} } @inproceedings{camps23ibpria, title = {{AI for Sustainable Earth Sciences}}, author = {Gustau Camps-Valls}, year = 2023, booktitle = {IbPRIA 2023}, address = {Alacant}, volume = {}, pdf = {http://isp.uv.es/slides/IBPRIA23_AI4Sustainability_45min.pdf}, editor = {}, organization = {} } @inproceedings{kondylatos2023mesogeos, title = {{Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean}}, author = {Spyros Kondylatos and Ioannis Prapas and Gustau Camps-Valls and Ioannis Papoutsis}, year = 2023, booktitle = {Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track, NeurIPS 2023}, arxiv = {https://arxiv.org/abs/2306.05144} } @misc{Prapas2023televit, title = {{TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting}}, author = {Ioannis Prapas, Nikolaos Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis}, year = 2023, booktitle = {ICCV 2023. Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop - AI + HADR 2023}, address = {Paris, France}, date = {October 3rd, 2023}, arxiv = {https://arxiv.org/abs/} } @misc{namgyal2023hear, title = {{What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics}}, author = {Tashi Namgyal and Alexander Hepburn and Raul Santos-Rodriguez and Valero Laparra and Jesus Malo}, year = 2023, arxiv = {https://arxiv.org/abs/2305.11582} } @misc{hepburn2023disentangling, title = {{Disentangling the Link Between Image Statistics and Human Perception}}, author = {Alexander Hepburn and Valero Laparra and Raul Santos-Rodriguez and Jesús Malo}, year = 2023, arxiv = {https://arxiv.org/abs/2303.09874}, archiveprefix = {arXiv}, primaryclass = {cs.CV} } @misc{hernandezcamara2023analysis, title = {{Analysis of Deep Image Quality Models}}, author = {Pablo Hernández-Cámara and Jorge Vila-Tomás and Valero Laparra and Jesús Malo}, year = 2023, arxiv = {https://arxiv.org/abs/2302.13345}, archiveprefix = {arXiv}, primaryclass = {cs.CV} } @misc{vilatomas2023psychophysics, title = {{Psychophysics of Artificial Neural Networks Questions Classical Hue Cancellation Experiments}}, author = {Jorge Vila-Tomás and Pablo Hernández-Cámara and Jesús Malo}, year = 2023, arxiv = {https://arxiv.org/abs/2303.08496}, archiveprefix = {arXiv}, primaryclass = {q-bio.NC} } @inproceedings{garcia23, title = {{Evaluation of Dimensionality Reduction Approaches for Optical Water Type Classification using EnMAP}}, author = {Jorge García-Jimenez andJulia Amorós-López and Ana Belén Ruescas and Gustau Camps-Valls}, year = 2023, booktitle = {Machine Learning And Data Analysis In Oceanography. 2023 edition of the Liège Colloquium}, address = {University of Liège, Place du XX-Août, 7 - 4000 Liège - Belgium}, volume = {}, doi = {}, url = {}, editor = {}, organization = {}, project = {} } @inproceedings{Leonelli21aistats, title = {{Context-Specific Causal Discovery for Categorical Data Using Staged Trees}}, author = {Leonelli, Manuele and Varando, Gherardo}, year = 2023, month = {25--27 Apr}, booktitle = {Proceedings of The 26th International Conference on Artificial Intelligence and Statistics}, publisher = {PMLR}, series = {Proceedings of Machine Learning Research}, volume = 206, pages = {8871--8888}, url = {https://proceedings.mlr.press/v206/leonelli23a.html}, editor = {Ruiz, Francisco and Dy, Jennifer and van de Meent, Jan-Willem}, pdf = {https://proceedings.mlr.press/v206/leonelli23a/leonelli23a.pdf}, project = {usmile,bbva,causeme}, abstract = {Causal discovery algorithms aim at untangling complex causal relationships from data. Here, we study causal discovery and inference methods based on staged tree models, which can represent complex and asymmetric causal relationships between categorical variables. We provide a first graphical representation of the equivalence class of a staged tree, by looking only at a specific subset of its underlying independences. We further define a new pre-metric, inspired by the widely used structural intervention distance, to quantify the closeness between two staged trees in terms of their corresponding causal inference statements. A simulation study highlights the efficacy of staged trees in uncovering complexes, asymmetric causal relationships from data, and real-world data applications illustrate their use in practical causal analysis.} } @inproceedings{Elvira23, title = {{Graphs in State-Space Models for Granger Causality in Climate Science}}, author = {Elvira, V. and Chouzenoux, \'E. and Cerd\`a-Bautista, J and Camps-Valls}, year = 2023, booktitle = {CausalStats23: When Causal Inference meets Statistical Analysis}, address = {}, volume = {}, doi = {}, url = {}, editor = {}, pdf = {http://isp.uv.es/slides/graphEM_causeme_2023_for_web.pdf}, organization = {}, arxiv = {https://arxiv.org/abs/2307.10703}, project = {usmile,bbva,causeme} } @inproceedings{Furkan23igarss, title = {{Explainability of end and mid-season cotton yield predictors in CONUS}}, author = {Mehmet Furkan Celik, Mustafa Serkan Isik, Esra Erten, Gustau Camps-Valls}, year = 2023, booktitle = {2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS}, volume = {}, number = {}, pages = {}, doi = {} } @inproceedings{Prappas23igarss, title = {{Regional transferability of deep learning models for landslide detection with SAR data}}, author = {Ioannis Prapas, Wei Ji Leong, Ragini Bal Mahesh, Vanessa Boehm, Ioannis Papoutsis, Gustau Camps-Valls, Siddha Ganju, Edoardo Nemni, Freddie Kalaitzis, Raul Ramos-Pollan}, year = 2023, booktitle = {2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS}, volume = {}, number = {}, pages = {}, doi = {} } @inproceedings{Spyros23igarss, title = {{Wildfire danger forecasting with deep learning under label noise}}, author = {Kondylatos, S. and Prapas, I. and Papoutsis, I and Camps-Valls, G.}, year = 2023, booktitle = {2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS}, volume = {}, number = {}, pages = {}, doi = {} } @inproceedings{Ji23igarss, title = {{deepextremes: Explainable Earth surface forecasting under compound climate extremes}}, author = {Chaonan Ji, Guido Kraemer, David Montero, Karin Mora, Sebastian Wieneke, Miguel D. Mahecha, Leipzig University, Germany; Vitus Benson, Fabian Gans, Markus Reichstein, Mélanie Weynants, Max-Planck-Institute for Biogeochemistry, Germany; Gunnar Brandt, Carsten Brockmann, Norman Fomferra, Tonio Fincke, Christian Requena-Mesa, Brockmann Consult GmbH, Germany; Gustau Camps-Valls, Maria Gonyalez Calabuig, Miguel-Ángel Fernández-Torres, Gonzalo Mateo García, Luis Gómez-Chova, Eva Sevillano Marco, Oscar José Pellicer Valero}, year = 2023, booktitle = {2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS}, volume = {}, number = {}, pages = {}, doi = {} } @inproceedings{Prapas23igarssSAR, title = {{Regional transferability of deep learning models for landslide detection with SAR data}}, author = {Ioannis Prapas, Ioannis Papoutsis, Wei Ji Leong, Ragini Bal Mahesh, Vanessa Boehm, Gustau Camps-Valls, Edoardo Nemni, Freddie Kalaitzis, Raul Ramos-Pollan}, year = 2023, booktitle = {2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS}, volume = {}, number = {}, pages = {}, doi = {} } @inproceedings{Mateo23clouds, title = {{Onboard cloud detection and atmospheric correction with deep learning emulators}}, author = {Gonzalo Mateo-García, Cesar Aybar, Giacomo Acciarini, Vít Růžička, Gabriele Meoni, Nicolas Longépé, Luis Gómez-Chova}, year = 2023, booktitle = {2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS}, volume = {}, number = {}, pages = {}, doi = {} } @inproceedings{Aybar23cloudsen12, title = {{Lessons learned from CLOUDSEN12 dataset: Identifying incorrect annotationsl in cloud semantic segmentation datasets}}, author = {Cesar Aybar, Gonzalo Mateo-García, Luis Gómez-Chova, David Montero}, year = 2023, booktitle = {2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS}, volume = {}, number = {}, pages = {}, doi = {} } @inproceedings{jagdhuber2023potential, title = {{On the Potential of Active and Passive Microwave Remote Sensing for Tracking Seasonal Dynamics of Evapotranspiration}}, author = {Jagdhuber, Thomas and Fluhrer, Anke and Chaparro, David and Hellwig, Florian M. and Mueller, Marlin M. and Dubios, Clémence and Schellenberg, Konstantin and Boehm, Marianne and Bayat, Bagher and Montzka, Carsten and Ramati, Mehdi and Baur, Martin J. and Kuebert, Angelika and Jonard, Francois and Steele-Dunne, Susan and Piles, Maria and Entekhabi, Dara}, year = 2023, booktitle = {2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS} } @inproceedings{chaparro2023water, title = {{Water Dynamics in the Soil-Plant-Atmosphere Continuum Based on Time-Lagged Correlations of Satellite Data}}, author = {Chaparro, David and Jagdhuber, Thomas and Jonard, François and Baur, Martin and Feldman, Andrew F. and Piles, Maria and Gianotti, Daniel S. and Entekhabi, Dara}, year = 2023, booktitle = {2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS} } @inproceedings{fernandezmoran2023land, title = {{Land Surface Model Calibration for the Future CIMR Mission}}, author = {Fernandez-Moran, Roberto and Piles, Maria and Gómez-Chova, Luis and Entekhabi, Dara and Wigneron, Jean Pierre and Li, Xiaojun and Jagdhuber, Thomas and Baur, Martin J.}, year = 2023, booktitle = {2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS} } @inproceedings{hellwig2023multi, title = {{Multi-Frequency Radiometry for Multi-Year Monitoring of Relative Water Content in a Temperate Forest}}, author = {Hellwig, Florian Marcus and Dubois, Clémence and Schellenberg, Konstantin and Schmullius, Christiane and Jagdhuber, Thomas and Fluhrer, Anke and Chaparro, David and Piles, María and Entekhabi, Dara}, year = 2023, booktitle = {2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS} } @inproceedings{chaparro2023estimation, title = {{Estimation of Gravimetric Vegetation Moisture in the Western United States Using a Multi-Sensor Approach}}, author = {Chaparro, David and Jagdhuber, Thomas and Fluhrer, Anke and Piles, María and Fernández-Morán, Roberto and Jonard, François and Vall-llossera, Mercè and Camps, Adriano and López-Marínez, Carlos and Baur, Martin J. and Feldman, Andrew F. and Entekhabi, Dara}, year = 2023, booktitle = {2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS} } @inproceedings{9897849, title = {{Orthonormal Convolutions for the Rotation Based Iterative Gaussianization}}, author = {Laparra, Valero and Hepburn, Alexander and Johnson, J. Emmanuel and Malo, Jesús}, year = 2022, booktitle = {2022 IEEE International Conference on Image Processing (ICIP)}, volume = {}, number = {}, pages = {4018--4022}, doi = {10.1109/ICIP46576.2022.9897849} } @inproceedings{Ji23igarss, title = {{deepextremes: Explainable Earth surface forecasting under compound climate extremes}}, author = {Chaonan Ji, Vitus Benson, Gunnar Brandt, Carsten Brockmann, Gustau Camps-Valls, Maria Gonyalez Calabuig, Miguel-Ángel Fernández-Torres, Norman Fomferra, Tonio Fincke, Fabian Gans, Gonzalo Mateo García, Guido Kraemer, Luis Gómez-Chova, David Montero, Eva Sevillano Marco, Karin Mora, Markus Reichstein, Christian Requena-Mesa, Oscar José Pellicer Valero, Mélanie Weynants, Sebastian Wieneke, Miguel D. Mahecha}, year = 2023, booktitle = {2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS}, volume = {}, number = {}, pages = {}, doi = {} } @inproceedings{Kondylatos23igarss, title = {{Wildfire danger forecasting with deep learning under label noise}}, author = {Spyros Kondylatos, Ioannis Prapas, Ioannis Papoutsis, Gustau Camps-Valls,}, year = 2023, booktitle = {2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS}, volume = {}, number = {}, pages = {}, doi = {} } @techreport{ruescas2023study, title = {{Study of ENMAP imagery for the application of methods for Phytoplankton Functional Types determination in coastal waters}}, author = {Ruescas, Ana B and Garcia-Jimenez, Jorge and Mueller, Dagmar and Brockmann, Carsten and Amoros, Julia and Stelzer, Kerstin}, year = 2023, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-28 April 2023}, volume = {Vol. 25}, editor = {EGU General Assembly 2023}, organization = {EGU}, project = {} } @techreport{hohl2023uscc, title = {{USCC: A Benchmark Dataset for Crop Yield Prediction under Climate Extremes}}, author = {H{\"o}hl, Adrian and Ofori-Ampofo, Stella and Obadic, Ivica and Fern{\'a}ndez-Torres, Miguel-{\'A}ngel and Kuzu, Ridvan Salih and Zhu, Xiaoxiang}, year = 2023, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-28 April 2023}, volume = {Vol. 25}, editor = {EGU General Assembly 2023}, organization = {EGU}, project = {xaida} } @inproceedings{Cohrs23egu, title = {{Double machine learning for geosciences}}, author = {Kai-Hendrik Cohrs, Gherardo Varando, Nuno Carvalhais, Markus Reichstein, Gustau Camps-Valls}, year = 2023, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-28 April 2023}, volume = {Vol. 25}, doi = {}, url = {}, editor = {EGU General Assembly 2023}, organization = {EGU}, project = {usmile} } @inproceedings{Cerda23egu, title = {{Causal inference to study food insecurity in Africa}}, author = {Jordi Cerdà-Bautista, José María Tárraga, Gherardo Varando, Alberto Arribas, Ted Shepherd, Gustau Camps-Valls}, year = 2023, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-28 April 2023}, volume = {Vol. 25}, doi = {}, url = {}, editor = {EGU General Assembly 2023}, organization = {EGU}, project = {bbva,causal4africa} } @inproceedings{Diaz23egu, title = {{Learning causal drivers of PyroCb}}, author = {Emiliano Diaz Salas Porras, Gherardo Varando, Fernando Iglesias-Suarez, Gustau Camps-Valls, Kenza Tazi, Kara Lamb, Duncan Watson-Parris}, year = 2023, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-28 April 2023}, volume = {Vol. 25}, doi = {}, url = {}, editor = {EGU General Assembly 2023}, organization = {EGU}, project = {usmile,imiracli} } @inproceedings{Anand23egu, title = {{Identifying compound weather prototypes of forest mortality with beta-VAE}}, author = {Mohit Anand et al.}, year = 2023, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-28 April 2023}, volume = {Vol. 25}, doi = {}, url = {}, editor = {EGU General Assembly 2023}, organization = {EGU}, project = {xaida} } @inproceedings{Izquierdo23egu, title = {{Enhanced and gap-free Sentinel-2 reflectance data at vast scales with GEE}}, author = {Emma Izquierdo-Verdiguier et al.}, year = 2023, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-28 April 2023}, volume = {Vol. 25}, doi = {}, url = {}, editor = {EGU General Assembly 2023}, organization = {EGU}, project = {usmile} } @inproceedings{Cortes23egu, title = {{xaida4Detection: A Toolbox for the Detection and Characterization of Spatio-Temporal Extreme Events}}, author = {Jordi Cortés-Andrés, Maria Gonzalez-Calabuig, Mengxue Zhang, Tristan K. E. Williams, Miguel-Ángel Fernández-Torres, Oscar J. Pellicer-Valero, Gustau Camps-Valls}, year = 2023, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-28 April 2023}, volume = {Vol. 25}, doi = {}, url = {}, editor = {EGU General Assembly 2023}, organization = {EGU}, project = {xaida} } @inproceedings{Pelucchi23egu, title = {{Invertible neural networks for satellite retrievals of aerosol optical depth}}, author = {Paolo Pelucchi, Jorge Vicent, J. Emmanuel Johnson, Philip Stier, Gustau Camps-Valls}, year = 2023, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-28 April 2023}, volume = {Vol. 25}, doi = {}, url = {}, editor = {EGU General Assembly 2023}, organization = {EGU}, project = {imiracli} } @inproceedings{Moreno23egu, title = {{Physics-Aware Machine Learning for Carbon Fluxes at High Spatio-Temporal Resolution and Scales}}, author = {Laura Martínez-Ferrer, Álvaro Moreno-Martínez, Jordi Muñoz-Marí, Emma Izquierdo-Verdiguier, John S. Kimball, Steven W. Running, Nicholas Clinton, Gustau Camps-Valls}, year = 2023, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-28 April 2023}, volume = {Vol. 25}, doi = {}, url = {}, editor = {EGU General Assembly 2023}, organization = {EGU}, project = {usmile} } @techreport{amaya2023ai, title = {{An AI hybrid predictive tool for extreme hurricane forecasting}}, author = {Amaya, Javier Martinez and Radin, Cristina and Nieves, Veronica and Long{\'e}p{\'e}, Nicolas and Mu{\~n}oz-Mar{\'\i}, Jordi}, year = 2023, institution = {Copernicus Meetings} } @inproceedings{Williams23egu, title = {{Estimating non-linear persistence for impact assessment in European forests}}, author = {Tristan Williams, Miguel Mahecha, Gustau Camps-Valls}, year = 2023, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-28 April 2023}, volume = {Vol. 25}, doi = {}, url = {}, editor = {EGU General Assembly 2023}, organization = {EGU}, project = {xaida} } @inproceedings{Martinez23egu, title = {{Gaussian Processes for vegetation traits global mapping}}, author = {Laura Martínez-Ferrer, Álvaro Moreno-Martínez, Jordi Muñoz-Marí, Hanna Meyer, Marvin Ludwig, Gustau Camps-Valls}, year = 2023, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-28 April 2023}, volume = {Vol. 25}, doi = {}, url = {}, editor = {EGU General Assembly 2023}, organization = {EGU}, project = {usmile} } @article{bueso2022revisiting, title = {{Revisiting impacts of MJO on soil moisture: a causality perspective}}, author = {Bueso, Diego and Piles, Maria and Sz{\'e}kely, Eniko and Camps-Valls, Gustau}, year = 2022, journal = {Authorea Preprints}, publisher = {Authorea} } @inproceedings{kang2022emerging, title = {{Emerging Machine Learning Approaches for Process Understanding in Ecosystem Sciences III Oral}}, author = {Kang, Yanghui and Keenan, Trevor F and Camps-Valls, Gustau and Gentine, Pierre and Bassiouni, Maoya}, year = 2022, 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D. and Lamb, K.D. and Watson-Parris, D. and Harder, P. and Meinert, N.}, year = 2022, booktitle = {NeurIPS 2022 Workshop-Causality for Real-world Impact}, address = {}, volume = {}, doi = {}, url = {}, project = {usmile,imiracli}, arxiv = {https://arxiv.org/abs/2211.08883}, organization = {} } @inproceedings{CampsValls22neurips, title = {{Physics-aware Machine learning for Earth observation}}, author = {Gustau Camps-Valls}, year = 2022, booktitle = {NeurIPS 2022 Workshop-Tackling Climate Change with Machine Learning}, address = {}, volume = {}, doi = {}, url = {}, project = {usmile,imiracli}, pdf = {http://isp.uv.es/slides/2022_PhysicsML_CausalML_40min.pdf}, organization = {} } @inproceedings{Tazi22neurips, title = {{Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds}}, author = {Tazi, K and Díaz Salas-Porras, E. and Braude, A. and Okoh, D. and Lamb, K.D. and Watson-Parris, D. and Harder, P. and Meinert, N.}, year = 2022, booktitle = {NeurIPS 2022 Workshop-Tackling Climate Change with Machine Learning}, address = {}, volume = {}, doi = {}, url = {}, project = {usmile,imiracli}, arxiv = {https://arxiv.org/abs/2211.13052}, organization = {} } @inproceedings{Zhang22neurips, title = {{Hybrid Recurrent Neural Network for Drought Monitoring}}, author = {Zhang, M. and Fernández-Torres, MA and Camps-Valls, G}, year = 2022, booktitle = {NeurIPS 2022 Workshop-Tackling Climate Change with Machine Learning}, address = {}, volume = {}, doi = {}, url = {}, project = {usmile,xaida}, organization = {} } @inproceedings{Anand22neurips, title = {{Identifying Compound Climate Drivers of Forest Mortality with β-VAE}}, author = {Anand, M. and Sweet, L-b. and Camps-Valls, G and Zscheischler, J.}, year = 2022, booktitle = {NeurIPS 2022 Workshop-Tackling Climate Change with Machine Learning}, address = {}, volume = {}, doi = {}, url = {}, project = {xaida}, organization = {} } @inproceedings{Varando22uai, title = {{Learning Causal Representations with Granger PCA}}, author = {Varando, G. and Fernández-Torres, MA and Muñoz-Marí, J and Camps-Valls, G}, year = 2022, booktitle = {Causal Representation Learning Workshop @UAI'22}, address = {Eindhoven, The Netherlands}, volume = {}, doi = {https://openreview.net/pdf?id=XsTEnaD_Lel}, url = {https://openreview.net/pdf?id=XsTEnaD_Lel/}, project = {usmile}, organization = {} } @inproceedings{Wicks22NWAI, title = {{The Kernelized Taylor Diagram}}, author = {Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, and Robert Jenssen}, year = 2022, booktitle = {2022 symposium of the Norwegian AI Society}, address = {31 May-1 June 2022, Oslo, Norway}, volume = {}, doi = {https://doi.org/}, url = {https://www.aisociety.no/nais2022/}, project = {usmile}, organization = {} } @inproceedings{Dan22lps, title = {{Exploiting Spatial and Temporal Information with ConvLSTM Networks for Cloud Detection over Landmarks}}, author = {D. López-Puigdollers, A. Pérez-Suay, G. Mateo-García, L. Gómez-Chova}, year = 2022, booktitle = {Living Planet Symposium}, address = {23-27 May 2022, Bonn, Germany}, volume = {}, doi = {https://doi.org/}, url = {}, project = {usmile}, organization = {ESA} } @inproceedings{i2022hyperspectral, title = {{Hyperspectral remote sensing data compression with neural networks}}, author = {i Verd{\'u}, Sebasti{\`a} Mijares and Ball{\'e}, Johannes and Laparra, Valero and Rapesta, Joan Bartrina and Hern{\'a}ndez-Cabronero, Miguel and Serra-Sagrist{\'a}, Joan}, year = 2022, booktitle = {2022 Data Compression Conference (DCC)}, pages = {476--476}, organization = {IEEE} } @inproceedings{Lgch22lps, title = {{Synergistic exploitation of PV-CC in combination with Sentinel-2 towards a machine learning based atmospheric correction}}, author = {L. Gómez-Chova, G. Mateo-García, V. Laparra, E. Portales-Julià, F. Niro}, year = 2022, booktitle = {Living Planet Symposium}, address = {23-27 May 2022, Bonn, Germany}, volume = {}, doi = {https://doi.org/}, url = {}, project = {}, organization = {ESA} } @inproceedings{Gmat22lps, title = {{Flood extent segmentation and cloud screening on Sentinel-2 images for emergency response services}}, author = {G. Mateo-García, E. Portales-Julià, L. Gómez-Chova}, year = 2022, booktitle = {Living Planet Symposium}, address = {23-27 May 2022, Bonn, Germany}, volume = {}, doi = {https://doi.org/}, url = {}, project = {}, organization = {ESA} } @inproceedings{Apasc22lps, title = {{Large-scale machine learning techniques for vegetation traits estimation: opportunities for the CHIME mission}}, author = {A. Pascual-Venteo, E. Portales-Julià, A. Pérez-Suay, J. Verrelst}, year = 2022, booktitle = {Living Planet Symposium}, address = {23-27 May 2022, Bonn, Germany}, volume = {}, doi = {https://doi.org/}, url = {}, project = {}, organization = {ESA} } @inproceedings{Kaps22lps, title = {{A two-stage machine learning framework using global satellite data of cloud classes for process-oriented model evaluation}}, author = {A. Kaps, A. Lauer, G. Camps-Valls, P. Gentine, L. Gómez-Chova, V. Eyring}, year = 2022, booktitle = {Living Planet Symposium}, address = {23-27 May 2022, Bonn, Germany}, volume = {}, doi = {https://doi.org/}, url = {}, project = {usmile}, organization = {ESA} } @inproceedings{Martinez22lps, title = {{Carbon fluxes estimation at scale: long-term, continuous, high spatial resolution with uncertainties at continental scales}}, author = {L. Martínez-Ferrer, A. Moreno‑Martínez, J. Kimball, S. Running, N. Clinton, G. Camps-Valls}, year = 2022, booktitle = {Living Planet Symposium}, address = {23-27 May 2022, Bonn, Germany}, volume = {}, doi = {https://doi.org/}, url = {}, project = {usmile}, organization = {ESA} } @inproceedings{Adsuara22lps, title = {{Characterizing the Earth complex dynamical system through spectral decomposition of kernel transfer operators}}, author = {J. Adsuara, G. Varando, A. Pérez-Suay, K. Cohrs, E. Díaz, D. Bueso, G. Camps-Valls}, year = 2022, booktitle = {Living Planet Symposium}, address = {23-27 May 2022, Bonn, Germany}, volume = {}, doi = {https://doi.org/}, url = {}, project = {usmile}, organization = {ESA} } @inproceedings{Kondylatos22lps, title = {{Deep Learning Methods for Daily Wildfire Danger Forecasting}}, author = {S. Kondylatos, I. Prapas, I. Papoutsis, G. Camps-Valls, M. Ronco, M. Fernández-Torres, M. Piles, N. Carvalhais}, year = 2022, booktitle = {Living Planet Symposium}, address = {23-27 May 2022, Bonn, Germany}, volume = {}, doi = {https://doi.org/}, url = {}, project = {deepcube}, organization = {ESA} } @inproceedings{Mahecha22lps, title = {{DeepExtremes - Deploying Artificial Experiments on High-Resolution Data Cubes for explaining extreme event impacts}}, author = {M. Mahecha, F. Gans, G. Camps-Valls, B. Gunnar, G. Kraemer, K. Mora, M. Fernández-Torres, C. RequenA, V. Benson, M. Reichstein, C. Brockmann, M. Ronco}, year = 2022, booktitle = {Living Planet Symposium}, address = {23-27 May 2022, Bonn, Germany}, volume = {}, doi = {https://doi.org/}, url = {}, project = {deepextremes}, organization = {ESA} } @inproceedings{Fernandez22lps, title = {{Explaining Deep Learning Models for Earth Surface Forecasting}}, author = {M. Fernández-Torres, M. Ronco, V. Benson, C. Requena, M. Mahecha, G. Camps-Valls}, year = 2022, booktitle = {Living Planet Symposium}, address = {23-27 May 2022, Bonn, Germany}, volume = {}, doi = {https://doi.org/}, url = {}, project = {deepextremes}, organization = {ESA} } @inproceedings{Tuia22lps, title = {{Representation learning in remote sensing: from unsupervised, to self-and meta-learning}}, author = {D. Tuia, X. Zhu, M. Molinier, G. Camps-Valls}, year = 2022, booktitle = {Living Planet Symposium}, address = {23-27 May 2022, Bonn, Germany}, volume = {}, doi = {https://doi.org/}, url = {}, project = {usmile}, organization = {ESA} } @inproceedings{Williams22lps, title = {{Short and long-term persistence in European vegetation}}, author = {T. Williams, M. Mahecha, G. Camps-Valls}, year = 2022, booktitle = {Living Planet Symposium}, address = {23-27 May 2022, Bonn, Germany}, volume = {}, doi = {https://doi.org/}, url = {}, project = {xaida}, organization = {ESA} } @inproceedings{Mateo22lps, title = {{Understanding Neural Networks for Crop Yield Estimation}}, author = {A. Mateo-Sanchis, J. Adsuara, A. Pérez-Suay, M. Piles, J. Muñoz-Marí, G. Camps-Valls}, year = 2022, booktitle = {Living Planet Symposium}, address = {23-27 May 2022, Bonn, Germany}, volume = {}, doi = {https://doi.org/}, url = {}, project = {jrc}, organization = {ESA} } @inproceedings{Gonzalez22lps, title = {{Unsupervised Deep Learning for Spatio-Temporal Earth Data Interpolation and Gap Filling}}, author = {M. Gonzalez-Calabuig, M. Fernández-Torres, A. Moreno‑Martínez, G. Camps-Valls}, year = 2022, booktitle = {Living Planet Symposium}, address = {23-27 May 2022, Bonn, Germany}, volume = {}, doi = {https://doi.org/}, url = {}, project = {xaida}, organization = {ESA} } @inproceedings{Gonzalez22lps, title = {{Validation of Sentinel-2 Atmospheric Correction Using Radiative Transfer Models Emulators}}, author = {D. Malik, J Rivero-Caicedo, J. Verrelst, L. Martino, G. Camps-Valls, B. Berthelot, J. Vicent Servera}, year = 2022, booktitle = {Living Planet Symposium}, address = {23-27 May 2022, Bonn, Germany}, volume = {}, doi = {https://doi.org/}, url = {}, project = {xaida}, organization = {ESA} } @inproceedings{Arndt22egu, title = {{A two-stage machine learning framework using global satellite data of cloud classes for process-oriented model evaluation}}, author = {Kaps, Arndt and Lauer, Axel and Camps-Valls, Gustau and Gentine, Pierre and G{\'o}mez-Chova, Luis and Eyring, Veronika}, year = 2022, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-27 May 2022}, volume = {Vol. 24}, doi = {https://doi.org/}, url = {}, editor = {EGU General Assembly 2022}, organization = {EGU}, project = {usmile} } @inproceedings{Jeggle22egu, title = {{Exploring cirrus cloud microphysical properties using explainable machine learning}}, author = {Jeggle, Kai and Neubauer, David and Camps-Valls, Gustau and Binder, Hanin and Sprenger, Michael and Lohmann, Ulrike}, year = 2022, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-27 May 2022}, volume = {Vol. 24}, doi = {https://doi.org/}, url = {}, editor = {EGU General Assembly 2022}, organization = {EGU}, project = {imiracli} } @inproceedings{Duncan22egu, title = {{ClimateBench: A benchmark for data-driven climate projections}}, author = {Watson-Parris, Duncan and Rao, Yuhan and Olivi{\'e}, Dirk and Seland, {\O}yvind and Nowack, Peer and Camps-Valls, Gustau and Stier, Philip and Bouabid, Shahine and Dewey, Maura and Fons, Emilie and others}, year = 2022, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-27 May 2022}, volume = {Vol. 24}, doi = {https://doi.org/}, url = {}, editor = {EGU General Assembly 2022}, organization = {EGU}, project = {imiracli,usmile} } @inproceedings{Gonzalez22egu, title = {{Machine learning to quantify cloud responses to aerosols from satellite data}}, author = {Gonzalez, Jessenia and Sourdeval, Odran and Camps-Valls, Gustau and Quaas, Johannes}, year = 2022, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-27 May 2022}, volume = {Vol. 24}, doi = {https://doi.org/}, url = {}, editor = {EGU General Assembly 2022}, organization = {EGU}, project = {imiracli} } @inproceedings{Martinez22egu, title = {{Carbon fluxes estimation with aleatoric and epistemic uncertainties at high spatial resolution over large areas}}, author = {Mart{\'\i}nez-Ferrer, Laura and Moreno-Mart{\'\i}nez, {\'A}lvaro and Kimball, John S and Running, Steven W and Clinton, Nicholas and Camps-Valls, Gustau}, year = 2022, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-27 May 2022}, volume = {Vol. 24}, doi = {https://doi.org/}, url = {}, editor = {EGU General Assembly 2022}, organization = {EGU}, project = {usmile} } @inproceedings{Tarraga22egu, title = {{Inspecting the link between climate and human displacement with Explainable AI and Causal inference}}, author = {Habas, Jos{\'e} Mar{\'\i}a T{\'a}rraga and Ronco, Michele and Miranda, Maria Teresa and Marco, Eva Sevillano and Wang, Qiang and Piles, Mar{\'\i}a and Mu{\~n}oz, Jordi and Camps-Valls, Gustau}, year = 2022, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-27 May 2022}, volume = {Vol. 24}, doi = {https://doi.org/}, url = {}, editor = {EGU General Assembly 2022}, organization = {EGU}, project = {deepcube,bbva} } @inproceedings{leonelli2022highly, title = {{Highly efficient structural learning of sparse staged trees}}, author = {Leonelli, Manuele and Varando, Gherardo}, year = 2022, booktitle = {International Conference on Probabilistic Graphical Models}, pages = {193--204}, organization = {PMLR} } @inproceedings{Varando22egu, title = {{Learning ENSO-related Principal Modes of Vegetation via a Granger-Causal Variational Autoencoder}}, author = {Varando, Gherardo and Fern{\'a}ndez-Torres, Miguel-{\'A}ngel and Camps-Valls, Gustau}, year = 2022, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-27 May 2022}, volume = {Vol. 24}, doi = {https://doi.org/}, url = {}, editor = {EGU General Assembly 2022}, organization = {EGU}, project = {usmile} } @techreport{kalaitzis2022time, title = {{Time-dependent Hillshades: Dispelling the Shadow Curse of Machine Learning Applications in Earth Observation}}, author = {Kalaitzis, Freddie and Mateo-Garcia, Gonzalo and Dobbs, Kevin and Garcia, Dolores and Stoker, Jason and Marchisio, Giovanni}, year = 2022, institution = {Copernicus Meetings} } @inproceedings{Ronco22egu, title = {{Explainable deep learning for wildfire danger estimation}}, author = {Ronco, Michele and Prapas, Ioannis and Kondylatos, Spyros and Papoutsis, Ioannis and Camps-Valls, Gustau and Fern{\'a}ndez-Torres, Miguel-{\'A}ngel and Piles Guillem, Maria and Carvalhais, Nuno}, year = 2022, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-27 May 2022}, volume = {Vol. 24}, doi = {https://doi.org/}, url = {}, editor = {EGU General Assembly 2022}, organization = {EGU}, project = {deepcube} } @inproceedings{Maria22egu, title = {{Recent Advances in Deep Learning for Spatio-Temporal Drought Monitoring, Forecasting and Model Understanding}}, author = {Gonz{\'a}lez-Calabuig, Mar{\'\i}a and Cort{\'e}s-Andr{\'e}s, Jordi and Fern{\'a}ndez-Torres, Miguel-{\'A}ngel and Camps-Valls, Gustau}, year = 2022, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-27 May 2022}, volume = {Vol. 24}, doi = {https://doi.org/}, url = {}, editor = {EGU General Assembly 2022}, organization = {EGU}, project = {xaida,deepextremes} } @inproceedings{jaen2022understanding, title = {{UNDERSTANDING THE STYLE TRANSFER DEEP-LEARNING TECHNIQUE THROUGH A WEB DASHBOARD}}, author = {Ja{\'e}n-Lorites, JM and P{\'e}rez-Pelegr{\'\i}, M and Laparra, V and Moratal, D}, year = 2022, booktitle = {INTED2022 Proceedings}, pages = {8914--8919}, organization = {IATED} } @inproceedings{Anand22egu, title = {{Identifying drivers of extreme reductions in carbon uptake of forests with interpretable machine learning}}, author = {Anand, Mohit and Camps-Valls, Gustau and Zscheischler, Jakob}, year = 2022, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Hybrid, 23-27 May 2022}, volume = {Vol. 24}, doi = {https://doi.org/}, url = {}, editor = {EGU General Assembly 2022}, organization = {EGU}, project = {xaida} } @inproceedings{9553132, title = {{Incidence Angle Diversity on L-Band Microwave Radiometry and Its Impact on Consistent Soil Moisture Retrievals}}, author = {Portal, Gerard and Vall-llossera, Mercè and Jagdhuber, Thomas and Camps, Adriano and Pablos', Miriam and Piles, María}, year = 2021, booktitle = {2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS}, volume = {}, number = {}, pages = {6186--6189}, doi = {10.1109/IGARSS47720.2021.9553132} } @inproceedings{9554872, title = {{Global L-Band Vegetation Volume Fraction Estimates for Modeling Vegetation Optical Depth}}, author = {Chaparro, David and Jagdhuber, Thomas and Piles, María and Entekhabi, Dara and Jonard, François and Fluhrer, Anke and Feldman, Andrew and Vall-llossera, Mercé and Camps, Adriano}, year = 2021, booktitle = {2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS}, volume = {}, number = {}, pages = {6399--6402}, doi = {10.1109/IGARSS47720.2021.9554872} } @inproceedings{9554622, title = {{Retrieval of Forest Water Potential from L-Band Vegetation Optical Depth}}, author = {Jagdhuber, T. and Fluhrer, A. and Schmidt, A.-S. and Jonard, F. and Chaparro, D. and Meyer, T. and Holtzman, N. and Konings, A. G. and Feldman, A. and Baur, M. and Piles, M. and Entekhabi, D.}, year = 2021, booktitle = {2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS}, volume = {}, number = {}, pages = {5949--5952}, doi = {10.1109/IGARSS47720.2021.9554622} } @inproceedings{2021EGUGA..2316478P, title = {{Synergistic use of SMOS and Sentinel-3 for retrieving spatiotemporally estimates of surface soil moisture and evaporative fraction}}, author = {{Piles}, Maria and {Pablos Hernandez}, Miriam and {Vall-llossera}, Merc{\`e} and {Portal}, Gerard and {Sandric}, Ionut and {Petropoulos}, George P. and {Hristopulos}, Dionisis}, year = 2021, month = apr, booktitle = {EGU General Assembly Conference Abstracts}, series = {EGU General Assembly Conference Abstracts}, pages = {EGU21--16478}, doi = {10.5194/egusphere-egu21-16478}, eid = {EGU21-16478} } @inproceedings{vit2021onboard, title = {{Unsupervised change detection of extreme events using ML on-board}}, author = {Vít Růžička, Anna Vaughan, Daniele De Martini, James Fulton Valentina Salvatell, Christopher Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi}, year = 2021, booktitle = {NeuIPS2021 AI+HADR workshop}, url = {https://www.hadr.ai/accepted-papers} } @inproceedings{prapas2021deep, title = {{Deep Learning Methods for Daily Wildfire Danger Forecasting}}, author = {Prapas, Ioannis and Kondylatos, Spyros and Papoutsis, Ioannis and Camps-Valls, Gustau and Ronco, Michele and Fern{\'a}ndez-Torres, Miguel-{\'A}ngel and Guillem, Maria Piles and Carvalhais, Nuno}, year = 2021, booktitle = {NeuIPS2021 AI+HADR workshop}, url = {https://www.hadr.ai/accepted-papers}, arxiv = {2111.02736} } @inproceedings{CampsValls21AGUkndvi, title = {{Unified Vegetation Index for Quantifying the Terrestrial Biosphere}}, author = {Camps-Valls, G., Campos-Taberner, M., Moreno-Martínez, Á., Walther, S., Duveiller, G., Cescatti, A., ... Running, S. W.}, year = 2021, month = dec, booktitle = {AGU American Geophysical Union}, address = {New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting}, url = {https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/805896}, organization = {AGU}, project = {deepcube} } @inproceedings{JM21DCAGU, title = {{Climate-Induced Displacement with Explainable Machine Learning Models}}, author = {José María Tárraga and Michele Ronco and Maria Teresa Miranda and, Maria Piles and Eva Sevillano Marco and Jordi Muñoz and Gustau Camps-Valls}, year = 2021, month = dec, booktitle = {AGU American Geophysical Union}, address = {New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting}, url = {https://agu.confex.com/agu/fm21/webprogrampreliminary/Paper881761.html}, organization = {AGU}, project = {deepcube} } @inproceedings{Ghe21USAGU, title = {{Learning Granger Causal Feature Representations}}, author = {Gherardo Varando and Miguel-Ángel Fernández-Torres and Gustau Camps-Valls}, year = 2021, month = dec, booktitle = {AGU American Geophysical Union}, address = {New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting}, url = {https://agu.confex.com/agu/fm21/webprogrampreliminary/Paper857866.html}, organization = {AGU}, project = {usmile} } @inproceedings{AM21USAGU, title = {{Long-time record and continuous high resolution gross primary productivity estimates at continental scales}}, author = {Álvaro Moreno and Laura Martínez-Ferrer and John Kimball and Martin Jung and Markus Reichstein and Steven W Running and Nicholas Clinton and Gustau Camps-Valls}, year = 2021, month = dec, booktitle = {AGU American Geophysical Union}, address = {New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting}, url = {https://agu.confex.com/agu/fm21/webprogrampreliminary/Paper934068.html}, organization = {AGU}, project = {usmile} } @inproceedings{DB21USAGU, title = {{Reconstruction of Seasonal Interaction of Soil Moisture and Tree Water Content Over Boreal Forests}}, author = {Diego Bueso and Maria Piles and Álvaro Moreno and Gustau Camps-Valls and Frederic Frappart and Jean-Pierre Wigneron and Philippe Ciais}, year = 2021, month = dec, booktitle = {AGU American Geophysical Union}, address = {New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting}, url = {https://agu.confex.com/agu/fm21/webprogrampreliminary/Paper805896.html}, organization = {AGU}, project = {usmile} } @inproceedings{JC21AGU, title = {{Location-Aware Convolutional Encoder-Decoder for Drought Detection in Europe}}, author = {Jordi Cortés-Andrés and Miguel-Ángel Fernández-Torres and Gustau Camps-Valls}, year = 2021, month = dec, booktitle = {AGU American Geophysical Union}, address = {New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting}, url = {https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/836661}, organization = {AGU}, project = {usmile,deepcube} } @inproceedings{AM21AGUINTERCOMP, title = {{Intercomparing Global Foliar Trait and Canopy Height Maps: Upscaling Approaches and Spatial Patterns}}, author = {Benjamin Dechant and Ryan Pavlick and Jens Kattge and Fabian D Schneider and Ethan E Butler and Alvaro Moreno and Peter van Bodegom and Helena Vallicrosa and Teja Kattenborn and Coline Boonman and Sönke Zaehle and Nima Madani and Iain COLIN C Prentice11 and Ian J Wright and Jeannine Cavender-Bares and Sandra Díaz and Isla H Myers-Smith and Karin Rebel and Ning Dong and Sandra Milena Duran and Holly Croft and Irena Simova and Hannes Feilhauer and Francesco Sabbatini and Helge Bruehlheide and Josep Penuelas and Jesús Aguirre-Gutiérrez and Peter B. Reich and Miguel Mahecha and Christian Wirth and Markus Reichstein and Yadvinder Malhi and Philip A Townsend}, year = 2021, month = dec, booktitle = {AGU American Geophysical Union}, address = {New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting}, url = {https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/907332}, organization = {AGU}, project = {usmile} } @inproceedings{CR21AGU, title = {{A new machine learning approach for regional sea level reconstructions using proxy-climate fingerprints}}, author = {Cristina Radin and Veronica Nieves}, year = 2021, month = dec, booktitle = {AGU American Geophysical Union}, address = {New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting}, url = {https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/805340}, organization = {AGU}, project = {maloc} } @inproceedings{LGC21AGU, title = {{Clouds aware flood extent segmentation for emergency response services}}, author = {Gonzalo Mateo-Garcia and Enrique Portales and Fei Liu and Edoardo Nemni and J. Emmanuel Johnson and Lucas Kruitwagen and Guy Schumann and Luis Gómez-Chova}, year = 2021, month = dec, booktitle = {AGU American Geophysical Union}, address = {New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting}, url = {https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/981285}, organization = {AGU}, project = {deepcloud} } @inproceedings{varandolearning, title = {{Learning Granger Causal Feature Representations}}, author = {Varando, Gherardo and Fernández-Torres, Miguel-Angel and Camps-Valls, Gustau}, year = 2021, booktitle = {International Conference on Machine Learning - Workshop on Tackling Climate Change with Machine Learning}, editor = {ICML}, project = {usmile}, organization = {ICML}, video = {https://www.climatechange.ai/papers/icml2021/34}, arxiv = {https://www.climatechange.ai/papers/icml2021/34/paper.pdf} } @inproceedings{CampsValls21deepcube, title = {{deepcube: Explainable AI Pipelines for Big Copernicus data}}, author = {Ioannis Papoutsis and Alkyoni Baglatzi and Souzana Touloumtzi and Markus Reichstein and Nuno Carvalhais and Fabian Gans and Gustau Camps-Valls and Maria Piles and Theofilos Kakantousis and Jim Dowling and Manolis Koubarakis and Dimitris Bilidas and Despina-Athanasia Pantazi and George Stamoulis and Christophe Demange and Leo-Gad Journel and Marco Bianchi and Chiara Gervasi and Alessio Rucci and Ioannis Tsampoulatidis and Eleni Kamateri and Tarek Habib and Alejandro Díaz Bolívar and Zisoula Ntasiou and Anastasios Paschalis}, year = 2021, month = may, booktitle = {BiDS Big Data from Space}, address = {Online Everywhere, https://www.bigdatafromspace2021.org/}, url = {http://cgi.di.uoa.gr/~koubarak/publications/2021/BIDS21_paper54.pdf}, project = {deepcube} } @inproceedings{Piles21egu, title = {{Synergistic use of SMOS and Sentinel-3 for retrieving spatiotemporally estimates of surface soil moisture and evaporative fraction}}, author = {Maria Piles and Miriam Pablos Hernández and Mercè Vall-llossera and Gerard Portal and Ionut Sandric and George P. Petropoulos and Dionisis Hristopulos}, year = 2021, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Online, 19-30 April 2021}, volume = {Vol. 21}, doi = {https://doi.org/10.5194/egusphere-egu21-16478}, url = {https://meetingorganizer.copernicus.org/EGU21/EGU21-16478.html}, editor = {EGU General Assembly 2021}, organization = {EGU} } @inproceedings{Johnson21egu, title = {{Gaussianization for Multivariate, High-dimensional Earth Observation data Analysis}}, author = {J. Emmanuel Johnson and Maria Piles and Valero Laparra and Gustau Camps-Valls}, year = 2021, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Online, 19-30 April 2021}, volume = {Vol. 23}, doi = {https://doi.org/10.5194/egusphere-egu21-14519}, url = {http://doi.org/10.5194/egusphere-egu21-14519}, editor = {EGU General Assembly 2021}, organization = {EGU}, project = {usmile} } @inproceedings{CampsValls21egu_kndvi, title = {{Generalization of Vegetation Indices for Monitoring the Terrestrial Biosphere}}, author = {Gustau Camps-Valls and Manuel Campos-Taberner and Alvaro Moreno-Martinez and Sophia Walther and Gr{\'e}gory Duveiller and Alessandro Cescatti and Miguel Mahecha and Jordi Mu{ñ}oz-Marí and Francisco Javier García-Haro and Luis Guanter and John Gamon and Martin Jung and Markus Reichstein and Steven W. Running}, year = 2021, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Online, 19-30 April 2021}, volume = {Vol. 23}, doi = {https://doi.org/10.5194/egusphere-egu21-14263}, url = {http://doi.org/10.5194/egusphere-egu21-14263}, editor = {EGU General Assembly 2021}, organization = {EGU}, project = {usmile} } @inproceedings{Fernandez21egu, title = {{Spatio-Temporal Gaussianization Flows for Extreme Event Detection}}, author = {Miguel-Ángel Fernández-Torres and J. Emmanuel Johnson and María Piles and Gustau Camps-Valls}, year = 2021, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Online, 19-30 April 2021}, volume = {Vol. 23}, doi = {https://doi.org/10.5194/egusphere-egu21-15729}, url = {http://doi.org/10.5194/egusphere-egu21-15729}, editor = {EGU General Assembly 2021}, organization = {EGU}, project = {usmile} } @inproceedings{Piles21egu, title = {{The CIMR mission and its unique capabilities for soil moisture sensing}}, author = {Maria Piles and Roberto Fernández-Moran and Luis Gómez-Chova and Gustau Camps-Valls and Dara Entekhabi and Martin Baur and Thomas Jagdhuber and Jean-Pierre Wigneron and Catherine Prigent and Craig Donlon}, year = 2021, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Online, 19-30 April 2021}, volume = {Vol. 23}, doi = {https://doi.org/10.5194/egusphere-egu21-9484}, url = {http://doi.org/10.5194/egusphere-egu21-9484}, editor = {EGU General Assembly 2021}, organization = {EGU}, project = {usmile} } @inproceedings{Moreno21egu, title = {{Upscaling plant traits to ecosystem level: blending local biodiversity, global traits databases, and remote sensing data}}, author = {Álvaro Moreno-Martínez and Jose E. Adsuara and Jordi Muñoz-Marí and Emma Izquierdo-Verdiguier and Jens Katge and Nuno Carvalhais and Markus Reichstein and Steven W. Running and Gustau Camps-Valls}, year = 2021, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Online, 19-30 April 2021}, volume = {Vol. 23}, doi = {https://doi.org/10.5194/egusphere-egu21-15835}, url = {http://doi.org/10.5194/egusphere-egu21-15835}, editor = {EGU General Assembly 2021}, organization = {EGU}, project = {usmile} } @inproceedings{Martinez21egu, title = {{Epistemic and aleatoric uncertainty maps in high resolution biophysical parameter retrieval}}, author = {Laura Martínez-Ferrer, Álvaro Moreno-Martínez, Jordi Muñoz-Marí, Emma Izquierdo-Verdiguier, Manuel Campos-Taberner, Javier García-Haro, Marco Maneta, Nathaniel Robinson, Nicholas Clinton, John Kimball, Steven W. Running, and Gustau Camps-Valls}, year = 2021, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Online, 19-30 April 2021}, volume = {Vol. 23}, doi = {https://doi.org/10.5194/egusphere-egu21-15196}, url = {https://doi.org/10.5194/egusphere-egu21-15196}, editor = {EGU General Assembly 2021}, organization = {EGU}, project = {usmile} } @inproceedings{Vicent2021igarss_atmos, title = {{Atmospheric Correction Of Satellite Data Based On Emulation Of Atmospheric Radiative Transfer Models}}, author = {Vicent, J. and Verrelst, J. and Rivera Caicedo, JP and Muñoz Marí, J and Camps Valls, G. and Berthelot, B.}, year = 2021, month = jul, booktitle = {{IGARSS} 2021 - 2021 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}}, address = {Brussels, Belgium}, doi = {}, video = {}, pdf = {}, project = {usmile} } @inproceedings{tote2021reprocessed, title = {{The Reprocessed Proba-V Collection 2: Product Validation}}, author = {Tot{\'e}, Carolien and Swinnen, Else and Sterckx, Sindy and Benhadj, Iskander and Dierckx, Wouter and G{\'o}mez-Chova, Luis and Ramon, Didier and Stelzer, Kerstin and Van den Heuvel, Lieve and Clarijs, Dennis and others}, year = 2021, booktitle = {2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS}, pages = {8084--8086}, organization = {IEEE} } @inproceedings{CampsValls2021_paml, title = {{Physics-Aware Machine Learning For Geosciences And Remote Sensing}}, author = {Camps-Valls, G. and Svendsen, DH and Cortés, J and Moreno-Martínez, A and Pérez-Suay, A and Adsuara, J and Martin, I and Piles, M and Muñoz-Marí, J and Luca Martino, L.}, year = 2021, month = jul, booktitle = {{IGARSS} 2021 - 2021 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}}, address = {Brussels, Belgium}, doi = {}, video = {}, pdf = {}, project = {usmile} } @inproceedings{CampsValls2021_dlcities, title = {{Deep Learning And Remote Sensing For Urban Sustainability}}, author = {Camps Valls, G}, year = 2021, month = jul, booktitle = {{IGARSS} 2021 - 2021 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}}, address = {Brussels, Belgium}, doi = {}, video = {}, pdf = {}, project = {} } @inproceedings{Piles21igarss, title = {{Global Cropland Production Monitoring With Gaussian Processes}}, author = {Piles, M. and Mateo-Sanchís, A. and Muñoz-Marí, J. and Camps-Valls, G. and Waldner, F. and Rembold, F. and Meroni, M.}, year = 2021, month = jul, booktitle = {{IGARSS} 2021 - 2021 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}}, address = {Brussels, Belgium}, doi = {}, video = {}, pdf = {}, project = {usmile} } @inproceedings{Izquierdo21igarss, title = {{Global Upscaling Of The MODIS Land Cover With Google Earth Engineand Landsat Data}}, author = {Izquierdo-Verdiguier, E and Moreno-Martinez, A and Adsuara, J and Muñoz-Marí, J and Camps-Valls, G and Maneta, MP and Kimball, J and Clinton, N and Running, SW}, year = 2021, month = jul, booktitle = {{IGARSS} 2021 - 2021 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}}, address = {Brussels, Belgium}, doi = {}, video = {}, pdf = {}, project = {usmile} } @inproceedings{Fernandez2021igarss, title = {{Towards A Better Understanding Of Effective Temperature Modelling In The SMOS-IC Retrieval Algorithm}}, author = {Fernandez-Moran, R and Camps-Valls, G and Piles, M and Jean-Pierre, W and Xiaojun, L and Mengjia, W and Fan, L and Al-Yaari, A and Gómez-Chova, L}, year = 2021, month = jul, booktitle = {{IGARSS} 2021 - 2021 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}}, address = {Brussels, Belgium}, doi = {}, video = {}, pdf = {}, project = {} } @inproceedings{johnson2020rotnet, title = {{RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks}}, author = {J. Emmanuel Johnson and Sairam Sundaresan and Tansu Daylan and Lisseth Gavilan and Daniel K. Giles and Stela Ishitani Silva and Anna Jungbluth and Brett Morris and andés Muñoz-Jaramillo}, year = 2020, month = dec, booktitle = {NeurIPS Machine Learning and the Physical Sciences}, address = {Online Everywhere, https://ml4physicalsciences.github.io/2020/}, arxiv = {https://arxiv.org/abs/2012.01985} } @inproceedings{garcia_pix2streams_2020, title = {{Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion}}, author = {Garcia, Dolores and Mateo-Garcia, Gonzalo and Bernhardt, Hannes and Hagensieker, Ron and Lopez-Francos, Ignacio G. and Stock, Jonathan and Schumann, Guy and Dobbs, Kevin and Kalaitzis, Alfredo}, year = 2020, month = dec, booktitle = {NeurIPS AI for Earth Sciences}, arxiv = {http://arxiv.org/abs/2011.07584} } @inproceedings{Morata20neuripsEarth, title = {{Understanding Climate Impacts on Vegetation with Gaussian Processes in Granger Causality}}, author = {Morata, M. and Bueso, D. and Piles, M. and Camps-Valls, G.}, year = 2020, month = dec, booktitle = {NeurIPS AI for Earth Sciences}, address = {Online Everywhere, https://ai4earthscience.github.io/neurips-2020-workshop/}, project = {sedal,usmile}, arxiv = {https://arxiv.org/pdf/2012.03338.pdf} } @inproceedings{Tarraga20neuripsDevelopment, title = {{Learning drivers of climate-induced human migrations with Gaussian processes}}, author = {Tarraga, J.M. and Piles, M. and Camps-Valls, G.}, year = 2020, month = dec, booktitle = {NeurIPS ML for Development}, address = {Online Everywhere, https://sites.google.com/view/ml4d}, project = {bbva,deepcube}, arxiv = {https://arxiv.org/abs/2011.08901} } @inproceedings{Rajadel20agu, title = {{Early crop mapping at continental scales derived from reconstructed high spatial resolution images}}, author = {Clara Rajadel, Emma Izquierdo, Alvaro Moreno, Clement Atzberger, Santiago Begueria, Marco P Maneta, John S Kimball, Gustau Camps-Valls and Steven W Running}, year = 2020, month = {1-17 December 2020}, booktitle = {AGU Fall Meeting}, address = {Online Everywhere}, url = {https://agu.confex.com/agu/fm20/prelim.cgi/Paper/722309}, project = {leaves} } @inproceedings{Martinez20agu, title = {{High spatial resolution gap free biophysical variables for Earth Observation at continental scales with Google Earth Engine}}, author = {Laura Martínez-Ferrer, Alvaro Moreno, Jordi Muñoz, Emma Izquierdo-Verdiguier, Manuel Campos-Taberner, Javier García Haro, J. Emmanuel Johnson, Marco P Maneta, Nathaniel Robinson, Nicholas Clinton, John Kimball, Steven W Running and Gustau Camps-Valls}, year = 2020, month = {1-17 December 2020}, booktitle = {AGU Fall Meeting}, address = {Online Everywhere}, url = {https://agu.confex.com/agu/fm20/prelim.cgi/Paper/730371}, project = {usmile,sedal} } @inproceedings{Eyring20agu, title = {{Machine Learning Based Process-oriented Earth System Model Evaluation}}, author = {Veronika Eyring, Gustau Camps-Valls, Pierre Gentine, Markus Reichstein, Jakob Runge and Manuel Schlund}, year = 2020, month = {1-17 December 2020}, booktitle = {AGU Fall Meeting}, address = {Online Everywhere}, url = {https://agu.confex.com/agu/fm20/prelim.cgi/Paper/719871}, project = {usmile} } @inproceedings{Mateo20agu, title = {{Satellite and model-based data integration for crop yield estimation and interpretability in Europe}}, author = {Anna Mateo-Sanchis, Maria Piles, Julia Amorós-López, Jordi Muñoz, Jose Adsuara, Alvaro Moreno and Gustau Camps-Valls}, year = 2020, month = {1-17 December 2020}, booktitle = {AGU Fall Meeting}, address = {Online Everywhere}, url = {https://agu.confex.com/agu/fm20/prelim.cgi/Paper/719677}, project = {sedal,leaves} } @incollection{malo2021channel, title = {{Channel Capacity in Psychovisual Deep-Nets: Gaussianization Versus Kozachenko-Leonenko}}, author = {Malo, Jesus}, year = 2021, booktitle = {Innovations in Computational Intelligence and Computer Vision}, publisher = {Springer}, pages = {77--84} } @inproceedings{Johnson20agu, title = {{Gaussianization of Earth Observation data - Invertible Transformations for Multidimensional Data Analysis}}, author = {J. Emmanuel Johnson, Maria Piles, Valero Laparra and Gustau Camps-Valls}, year = 2020, month = {1-17 December 2020}, booktitle = {AGU Fall Meeting}, address = {Online Everywhere}, url = {https://agu.confex.com/agu/fm20/prelim.cgi/Paper/730739}, project = {sedal,usmile} } @inproceedings{CampsReichstein2020, title = {{ELLIS Workshop on Machine Learning in Earth and Climate Sciences}}, author = {Gustau Camps-Valls and Markus Reichstein}, year = 2020, booktitle = {https://opc.mfo.de/show_workshop?id=3575}, address = {Oberwolfach, Germany}, url = {https://opc.mfo.de/show_workshop?id=3575}, note = {1-4 March 2020 (a few days before the European lockdown because of COVID)}, project = {sedal,usmile} } @inproceedings{Cortes20agu, title = {{Physics-aware Nonlinear Modeling and Inference from Earth Data}}, author = {Jordi Cortes-Andres, Adrian Perez-Suay and Gustau Camps-Valls}, year = 2020, month = {1-17 December 2020}, booktitle = {AGU Fall Meeting}, address = {Online Everywhere}, url = {https://agu.confex.com/agu/fm20/prelim.cgi/Paper/691597}, project = {sedal,usmile} } @inproceedings{Bueso20agu, title = {{Quantifying the impact of 2015-2016 ENSO over global soil and vegetation water content by causality models}}, author = {Diego Bueso, Maria Piles and Gustau Camps-Valls}, year = 2020, month = {1-17 December 2020}, booktitle = {AGU Fall Meeting}, address = {Online Everywhere}, url = {https://agu.confex.com/agu/fm20/prelim.cgi/Paper/691707}, project = {sedal,usmile,leaves} } @inproceedings{Nieves20agu, title = {{Strengthening our knowledge on regional sea level rise through proxy data and machine learning}}, author = {Veronica Nieves, Cristina Radin and Gustau Camps-Valls}, year = 2020, month = {1-17 December 2020}, booktitle = {AGU Fall Meeting}, address = {Online Everywhere}, url = {https://agu.confex.com/agu/fm20/prelim.cgi/Paper/694728}, project = {sedal,usmile,leaves} } @inproceedings{CampsValls20phiweek, title = {{Living in the Physics and Machine Learning Interplay - An AI agenda with examples for the DTE}}, author = {Gustau Camps-Valls}, year = 2020, month = {28-30 September 2020.}, booktitle = {The ESA Phi-week 2020}, address = {ESA-ESRIN, Italy}, video = {https://livestream.com/esa/phiweek2020/videos/211492628}, pdf = {http://isp.uv.es/slides/PHIWEEK20_PhysicsMLinterplay.pdf}, project = {sedal} } @inproceedings{CampsValls20physicsaware, title = {{Living in the Physics -- Machine Learning Interplay for Earth Observation}}, author = {Camps-Valls, G. and Svendsen, D. H. and Cortes-Andres, J. and Moreno-Martinez, J. and Perez-Suay, A. and Adsuara, J. and Martin, I. and Piles, M. and Munoz-Mari, J. and Martino, L.}, year = 2020, month = {}, booktitle = {AAAI Fall Series 2020 Symposium on Physics-guided AI for Accelerating Scientific Discovery}, address = {}, pages = {}, doi = {}, note = {}, project = {sedal,kermes} } @inproceedings{Runge2020pmlr, title = {{The Causality for Climate Competition}}, author = {Jakob Runge, J. and Xavier-Andoni, T. and Bruhns, M. and Mu{ñ}oz-Marí, J. and Camps-Valls, G.}, year = 2020, month = {}, booktitle = {JMLR: Workshop and Conference Proceedings. 2020 NeurIPS2019 Competition & Demonstration Track PMLR Post-proceedings}, address = {}, pages = {}, doi = {}, note = {}, pdf = {http://proceedings.mlr.press/v123/runge20a/runge20a.pdf}, project = {sedal} } @inproceedings{sauzede2020estimation, title = {{Estimation of Oceanic Particulate Organic Carbon with Machine Learning}}, author = {Sauz{è}de, R and Johnson, J Emmanuel and Claustre, H and Camps-Valls, G and Ruescas, AB}, year = 2020, month = jun, journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, publisher = {Copernicus GmbH}, address = {Nice, France}, volume = 2, pages = {949--956}, project = {sedal} } @inproceedings{Taskin2020igarss_manifold, title = {{Manifold Learning With High Dimensional Model Representations}}, author = {Taskin, G. and Camps-Valls, G.}, year = 2020, month = jul, booktitle = {{IGARSS} 2020 - 2020 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}}, address = {Waikoloa, Hawaii, USA}, pages = {}, doi = {}, note = {}, project = {sedal} } @inproceedings{CampsValls2020igarss_hybridxai, title = {{Advancing Deep Learning For Earth Sciences: From Hybrid Modeling To Interpretability}}, author = {Camps-Valls, G. and Reichstein, M. and Zhu, Z. and Tuia, D.}, year = 2020, month = jul, booktitle = {{IGARSS} 2020 - 2020 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}}, address = {Waikoloa, Hawaii, USA}, doi = {}, video = {http://isp.uv.es/videos/AdvancesDL-2020-07-09_11-38-45.mkv}, pdf = {http://isp.uv.es/slides/AdvancesDL.pdf}, project = {sedal} } @inproceedings{Adsuara2020igarss_ode, title = {{Discovering Differential Equations from Earth Observation Data}}, author = {Adsuara, J.E. and Perez-Suay, A. and Moreno-Martínez, A. and Camps-Valls, G. and Kraemer, G. and Reichstein, M. and Mahecha, M.}, year = 2020, month = jul, booktitle = {{IGARSS} 2020 - 2020 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}}, address = {Waikoloa, Hawaii, USA}, pages = {}, doi = {}, note = {}, project = {sedal} } @inproceedings{PerezSuay2020igarss_xai, title = {{Interpretability of Recurrent Neural Networks in Remote Sensing}}, author = {Perez-Suay, A. and Adsuara, J. E. and Piles, M. and Martinez-Ferrer, L. and Diaz, E. and Moreno-Martinez, A. and Camps-Valls, G.}, year = 2020, month = jul, booktitle = {{IGARSS} 2020 - 2020 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}}, address = {Waikoloa, Hawaii, USA}, pages = {}, doi = {}, note = {}, project = {sedal} } @inproceedings{Moreno2020igarss_kf, title = {{Down-Scaling MODIS Vegetation Products With Landsat Gap Filled Surface Reflectance In Google Earth Engine}}, author = {Moreno-Martinez, A. and Izquierdo-Verdiguier, E. and Camps-Valls, G. and Maneta, M. and Muñoz-Marí, J. and Robinson, N. and Adsuara, J.E. and Campos, M. and García-Haro, J. and Perez, A. and Clinton, N. and Kimball, J. and Running, S.W.}, year = 2020, month = jul, booktitle = {{IGARSS} 2020 - 2020 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}}, address = {Waikoloa, Hawaii, USA}, pages = {}, doi = {}, note = {}, project = {sedal} } @inproceedings{Martino20emulation, title = {{Adaptive sequential interpolator using active learning for efficient emulation of complex systems}}, author = {Martino, L. and Svendsen, D.H. and Vicent, J. and Camps-Valls, G.}, year = 2020, booktitle = {45th IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP)}, address = {4-8 May 2020, Barcelona}, url = {https://cmsworkshops.com/ICASSP2020/Papers/ViewPaper.asp?PaperNum=2478}, project = {sedal,kermes} } @inproceedings{Martino20lai, title = {{Particle group metropolis methods for tracking the leaf area index}}, author = {Martino, L. and Elvira, V. and Camps-Valls, G.}, year = 2020, booktitle = {45th IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP)}, address = {4-8 May 2020, Barcelona}, url = {https://cmsworkshops.com/ICASSP2020/Papers/ViewPaper.asp?PaperNum=4023}, project = {sedal,kermes} } @inproceedings{MartinezFerrer20EGU, title = {{Multisensor crop yield estimation with machine learning}}, author = {Laura Martínez Ferrer, Maria Piles, and Gustau Camps-Valls}, year = 2020, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Vienna, Austria, 3-8 May 2020}, volume = {Vol. 22}, editor = {EGU General Assembly 2020}, organization = {EGU}, project = {sedal,kermes}, pdf = {https://presentations.copernicus.org/EGU2020/EGU2020-21329_presentation.pdf} } @inproceedings{Adsuara20EGU, title = {{Learning ordinary differential equations from remote sensing data}}, author = {Jose E. Adsuara, Adrián Pérez-Suay, Alvaro Moreno-Martínez, Anna Mateo-Sanchis, Maria Piles, Guido Kraemer, Markus Reichstein, Miguel D. Mahecha, and Gustau Camps-Valls}, year = 2020, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Vienna, Austria, 3-8 May 2020}, volume = {Vol. 22}, editor = {EGU General Assembly 2020}, organization = {EGU}, project = {sedal}, pdf = {https://presentations.copernicus.org/EGU2020/EGU2020-19620_presentation.pdf} } @inproceedings{Mateo20EGU, title = {{Learning main drivers of crop dynamics and production in Europe}}, author = {Anna Mateo Sanchis et al.}, year = 2020, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Vienna, Austria, 3-8 May 2020}, volume = {Vol. 22}, editor = {EGU General Assembly 2020}, project = {sedal,kermes}, organization = {EGU}, pdf = {https://presentations.copernicus.org/EGU2020/EGU2020-21329_presentation.pdf} } @inproceedings{Bueso20EGU, title = {{Unraveling the time-scale teleconnections between soil moisture and vegetation}}, author = {Diego Bueso, Maria Piles, and Gustau Camps-Valls}, year = 2020, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Vienna, Austria, 3-8 May 2020}, volume = {Vol. 22}, editor = {EGU General Assembly 2020}, organization = {EGU}, project = {sedal,kermes}, pdf = {https://presentations.copernicus.org/EGU2020/EGU2020-18028_presentation.pdf} } @inproceedings{CampsValls20EGU, title = {{Advances in Gaussian Processes for Earth Sciences: Physics-aware, interpretability and consistency}}, author = {Gustau Camps-Valls, Daniel Svendsen, Luca Martino, Adrian Pérez-Suay, Maria Piles, and Jordi Muñoz-Marí}, year = 2020, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Vienna, Austria, 3-8 May 2020}, volume = {Vol. 22}, editor = {EGU General Assembly 2020}, organization = {EGU}, project = {sedal,kermes}, pdf = {https://presentations.copernicus.org/EGU2020/EGU2020-14677_presentation.pdf} } @inproceedings{Berger20EGU, title = {{Spectroscopic retrieval of above-ground crop nitrogen content with a hybrid machine learning regression method}}, author = {Katja Berger, Gustau Camps-Valls, Jochem Verrelst, Jean-Baptiste Féret, Matthias Wocher, and Tobias Hank}, year = 2020, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Vienna, Austria, 3-8 May 2020}, volume = {Vol. 22}, editor = {EGU General Assembly 2020}, organization = {EGU}, project = {sedal} } @inproceedings{Schlund20EGU, title = {{Constraining uncertainty in projected gross primary production with machine learning}}, author = {Manuel Schlund et al.}, year = 2020, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Vienna, Austria, 3-8 May 2020}, volume = {Vol. 22}, editor = {EGU General Assembly 2020}, organization = {EGU}, project = {sedal, usmile} } @inproceedings{Izquierdo20EGU, title = {{Gross Primary Production and False Spring: a spatio-temporal analysis}}, author = {Emma Izquierdo-Verdiguier, Raúl Zurita-Milla, Álvaro Moreno-Martinez, Gustau Camps-Valls, Anja Klisch, Clement Atzberger, and Steven W. Running}, year = 2020, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Vienna, Austria, 3-8 May 2020}, volume = {Vol. 22}, editor = {EGU General Assembly 2020}, organization = {EGU}, project = {sedal} } @inproceedings{Wolanin20EGU, title = {{Explainable deep learning to predict and understand crop yield estimates}}, author = {Aleksandra Wolanin, Gonzalo Mateo-García, Gustau Camps-Valls, Luis Gómez-Chova, Michele Meroni, Gregory Duveiller, You Liangzhi, and Luis Guanter}, year = 2020, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Vienna, Austria, 3-8 May 2020}, volume = {Vol. 22}, editor = {EGU General Assembly 2020}, organization = {EGU}, project = {sedal}, pdf = {https://presentations.copernicus.org/EGU2020/EGU2020-18163_presentation.pdf} } @inproceedings{Moreno20EGU, title = {{Down-scaling MODIS operational vegetation products with machine learning and fused gap-free high resolution reflectance data in Google Earth Engine}}, author = {Álvaro Moreno Martínez et al.}, year = 2020, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Vienna, Austria, 3-8 May 2020}, volume = {Vol. 22}, editor = {EGU General Assembly 2020}, organization = {EGU}, project = {sedal}, pdf = {https://presentations.copernicus.org/EGU2020/EGU2020-21329_presentation.pdf} } @inproceedings{Bao20EGU, title = {{Evaluating Light Use Efficiency Models and Parameter-upscaling Methods}}, author = {Shanning Bao, Fabian Gans, Simon Besnard, Sujan Koirala, Alvaro Moreno, Sophia Walther, Ulrich Weber, Martin Jung, Miguel Mahecha, and Nuno Carvalhais}, year = 2020, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Vienna, Austria, 3-8 May 2020}, volume = {Vol. 22}, editor = {EGU General Assembly 2020}, organization = {EGU}, project = {sedal}, pdf = {https://presentations.copernicus.org/EGU2020/EGU2020-21053_presentation.pdf} } @inproceedings{Bao20EGU, title = {{Analysis of water dynamics in the soil-plant-atmosphere continuum using a multi-sensor approach}}, author = {David Chaparro, Thomas Jagdhuber, Dara Entekhabi, María Piles, Anke Fluhrer, Andrew Feldman, François Jonard, and Mercè Vall-llossera}, year = 2020, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, address = {Vienna, Austria, 3-8 May 2020}, volume = {Vol. 22}, editor = {EGU General Assembly 2020}, organization = {EGU}, project = {sedal}, pdf = {https://presentations.copernicus.org/EGU2020/EGU2020-18686_presentation.pdf} } @inproceedings{CampsValls19agu, title = {{Inferring causal graphs from observational long-term carbon and water fluxes records}}, author = {Gustau Camps-Valls, Emiliano Diaz, Jose Adsuara, Maria Piles, Alvaro Moreno, Pierre Gentine, Martin Jung, Markus Reichstein and Steven W Running}, year = 2019, month = {9-13 December 2019.}, booktitle = {AGU Fall Meeting}, address = {San Francisco, USA}, project = {sedal} } @inproceedings{Bueso19agu, title = {{Revisiting impacts of MJO on soil moisture: a causality perspective}}, author = {Diego Bueso, Maria Piles, Gustau Camps-Valls}, year = 2019, month = {9-13 December 2019.}, booktitle = {AGU Fall Meeting}, address = {San Francisco, USA}, project = {sedal} } @inproceedings{Johnson19agu, title = {{Climate Model Intercomparison with Multivariate Information Theoretic Measures}}, author = {J. Emmanuel Johnson, Valero Laparra, Peer Johannes Nowack, Jakob Runge, Gustau Camps-Valls}, year = 2019, month = {9-13 December 2019.}, booktitle = {AGU Fall Meeting}, address = {San Francisco, USA}, project = {sedal} } @inproceedings{Moreno19agu, title = {{New opportunities for developing high spatial resolution land products derived from gap free Landsat reflectance time series in Google Earth Engine}}, author = {Alvaro Moreno, Emma Izquierdo, Marco P Maneta, Gustau Camps-Valls, Nathaniel Robinson, Jordi Munoz, Nicholas Clinton, Fernando Sedano and Steven Running}, year = 2019, month = {9-13 December 2019.}, booktitle = {AGU Fall Meeting}, address = {San Francisco, USA}, project = {sedal} } @inproceedings{Bueso19ci, title = {{Cross-Information Kernel Causality: Revisiting global teleconnections of ENSO over soil moisture and vegetation}}, author = {Diego Bueso, Maria Piles, Gustau Camps-Valls}, year = 2019, month = {2-4 October 2019}, booktitle = {Climate Informatics 2019}, address = {Paris, France}, project = {sedal,kermes} } @inproceedings{Johnson19ci, title = {{Multivariate Gaussianization in Earth and Climate Sciences}}, author = {Juan E. Johnson, Maria Piles, Valero Laparra, Gustau Camps-Valls}, year = 2019, month = {2-4 October 2019}, booktitle = {Climate Informatics 2019}, address = {Paris, France}, project = {sedal} } @inproceedings{Schlund19ci, title = {{Reducing uncertainties in projected gross primary production using gradient boosted regression trees}}, author = {Manuel Schlund, Veronika Eyring, Gustau Camps-Valls, Pierre Friedlingstein, Pierre Gentine, Markus Reichstein}, year = 2019, month = {2-4 October 2019}, booktitle = {Climate Informatics 2019}, address = {Paris, France}, project = {sedal,usmile} } @inproceedings{CampsValls19phiweekPhysics, title = {{Physics-aware Machine Learning in Earth Observation}}, author = {Gustau Camps-Valls, Daniel H. Svendsen, Adrian Pérez-Suay, Emiliano Diaz, Luca Martino, Zhu Li, Dino Sejdinovic}, year = 2019, month = {9-13 September 2019.}, booktitle = {The Phi-week - EO Open Science and Future EO}, address = {ESA-ESRIN, Italy}, project = {sedal} } @inproceedings{CampsValls19phiweekCausality, title = {{Inferring Causal Relations in Earth Observation: Methods, Applications and a Web-platform}}, author = {Gustau Camps-Valls, Jordi Muñoz-Marí, Emiliano Diaz, Adrian Pérez-Suay, Alvaro Moreno, Dino Sejdinovic, Jakob Runge}, year = 2019, month = {9-13 September 2019.}, booktitle = {The Phi-week - EO Open Science and Future EO}, address = {ESA-ESRIN, Italy}, project = {sedal} } @inproceedings{mateo-garcia_flood_2019, title = {{Flood Detection On Low Cost Orbital Hardware}}, author = {Mateo-Garcia, Gonzalo and Oprea, Silviu and Smith, Lewis and Veitch-Michaelis, Josh and Schumann, Guy and Gal, Yarin and Baydin, Atılım Güneş and Backes, Dietmar}, year = 2019, month = dec, booktitle = {Artificial {Intelligence} for {Humanitarian} {Assistance} and {Disaster} {Response} {Workshop}, 33rd {Conference} on {Neural} {Information} {Processing} {Systems} ({NeurIPS} 2019), {Vancouver}, {Canada}}, url = {http://arxiv.org/abs/1910.03019}, urldate = {2019-10-23}, note = {arXiv: 1910.03019} } @inproceedings{mateo-garcia_domain_2019, title = {{Domain Adaptation of Landsat-8 and Proba-V Data Using Generative Adversarial Networks for Cloud Detection}}, author = {Mateo-García, Gonzalo and Laparra, Valero and Gómez-Chova, Luis}, year = 2019, month = jul, booktitle = {{IGARSS} 2019 - 2019 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}}, pages = {712--715}, doi = {https://dx.doi.org/10.1109/IGARSS.2019.8899193}, note = {ISSN: 2153-6996} } @inproceedings{8900244, title = {{Mapping Carbon Stocks In Central And South America With Smap Vegetation Optical Depth}}, author = {D. {Chaparro} and G. {Duveiller} and M. {Piles} and M. {Vall-llossera} and A. {Cescatti} and A. {Camps} and D. {Entekhabi}}, year = 2019, month = jul, booktitle = {IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium}, volume = {}, number = {}, pages = {5449--5452}, doi = {https://doi.org/10.1109/IGARSS.2019.8900244}, issn = {2153-6996}, keywords = {carbon;optical radar;remote sensing;remote sensing by laser beam;vegetation;vegetation mapping;mapping carbon stocks;South America;smap Vegetation Optical Depth;climate change mitigation;passive microwave remote sensing;deep canopy layers;Vegetation Optical Depth parameter;optical vegetation indices;airborne Lidar data;higher penetration capacity;airborne carbon maps;SMAP L-band VOD;Vegetation Index;carbon variability;resulting VOD-derived carbon estimates;size 9.0 km;Carbon;Vegetation mapping;L-band;Optical sensors;Forestry;Biomedical optical imaging;Carbon modelling;vegetation optical depth;tropical forests;L-band;climate change.} } @inproceedings{8900273, title = {{Influence of Quality Filtering Approaches in BEC SMOS L3 Soil Moisture Products}}, author = {M. {Pablos} and M. {Vall-llossera} and M. {Piles} and A. {Camps} and C. {González-Haro} and A. {Turiel} and C. J. {Herbert} and D. {Chaparro} and G. {Portal}}, year = 2019, month = jul, booktitle = {IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium}, volume = {}, number = {}, pages = {6941--6944}, doi = {https://doi.org/10.1109/IGARSS.2019.8900273}, issn = {2153-6996}, keywords = {hydrological techniques;moisture;remote sensing;soil;binning approach;DQX-based L3 SM;BEC SMOS L3 SM products;Quality filtering approaches;BEC SMOS L3 Soil Moisture Products;Global Soil Moisture;Ocean Salinity Level 3 soil moisture products;SMOS Level 2 SM;SM retrievals;Data Quality Index;latest L2 release;DQX-based BEC;Soil moisture;Meteorology;Temperature measurement;Orbits;Filtering;Correlation;Extraterrestrial measurements;SMOS;soil moisture;DQX;chisquared} } @inproceedings{8897823, title = {{Estimation Of Volume Fraction And Gravimetric Moisture Of Winter Wheat Based On Microwave Attenuation: A Field Scale Study}}, author = {T. {Meyer} and T. {Jagdhuber} and M. {Piles} and A. {Fluhrer} and F. {Jonard}}, year = 2019, month = jul, booktitle = {IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium}, volume = {}, number = {}, pages = {5453--5456}, doi = {https://doi.org/10.1109/IGARSS.2019.8897823}, issn = {2153-6996}, keywords = {crops;microwave measurement;moisture;soil;vegetation;vegetation mapping;wet biomass;winter wheat;ground-based L-band microwave measurements;entire growing cycle;situ measured vegetation characteristics;microwave attenuation;actual water status;plant water;water budget;vegetation volume fraction;volume percentage;solid plant material;gravimetric vegetation water content;Vegetation mapping;Microwave radiometry;Dielectrics;Needles;Microwave measurement;Attenuation;Dielectric measurement;gravimetric vegetation water content;vegetation volume fraction;vegetation optical depth;winter wheat;SMOS;SMAP;L-band} } @inproceedings{mateo-garcia_convolutional_2019, title = {{Convolutional Long Short-Term Memory Network for Multitemporal Cloud Detection Over Landmarks}}, author = {Mateo-García, Gonzalo and Adsuara, Jose E. and Pérez-Suay, Adrián and Gómez-Chova, Luis}, year = 2019, month = jul, booktitle = {{IGARSS} 2019 - 2019 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}}, pages = {210--213}, doi = {https://dx.doi.org/10.1109/IGARSS.2019.8897832}, note = {ISSN: 2153-6996} } @inproceedings{CampsValls19phiweekAnomaly, title = {{Hybrid Anomaly Detection to Extract Extreme Events}}, author = {J. Emmanuel Johnson et al.}, year = 2019, month = {9-13 September 2019.}, booktitle = {The Phi-week - EO Open Science and Future EO}, address = {ESA-ESRIN, Italy} } @inproceedings{Verrelst19phiweekEmulation, title = {{Emulation for approximating radiative transfer modeling: computational efficiency and sensitivity analysis}}, author = {Jochem Verrelst, Emmanuel Johnson, Pablo Morcillo, Jorge Vicent, Laura Martínez Ferrer, Juan Pablo Rivera, Gustau Camps-Valls}, year = 2019, month = {9-13 September 2019.}, booktitle = {The Phi-week - EO Open Science and Future EO}, address = {ESA-ESRIN, Italy}, project = {sedal} } @inproceedings{Johnson19icml, title = {{Information Theory in Density Destructors}}, author = {Johnson, E. and Laparra, V. and Santos, R. and Camps-Valls, G. and Malo, J}, year = 2019, booktitle = {International Conference on Machine Learning - Workshop Invertible Neural Nets and Normalising Flows (INNF)}, editor = {ICML}, project = {sedal}, organization = {ICML}, arxiv = {https://arxiv.org/abs/2012.01012} } @inproceedings{Fan19EGU, title = {{Quantification of tropical carbon changes using SMOS-IC vegetation optical depth index during 2010-2017}}, author = {Lei Fan, Jean-Pierre Wigneron, Philippe Ciais, Jérome Chave, Martin Brandt, Rasmus Fensholt, Sassan S Saatchi, Ana Bastos, Amen Al-Yaari, Koen Hufkens, Roberto Fernandez Moran, Arnaud Mialon, Nemesio Jose Rodriguez-Fernandez, Yann Kerr, Feng Tian, and Josep Penuelas}, year = 2019, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, volume = {Vol. 21}, editor = {EGU General Assembly 2019}, organization = {EGU} } @inproceedings{Mateo19CEBEIB, title = {{Fusing optical and microwave data using distribution regression for crop yield estimation}}, author = {Mateo-Sanchis, A. et al.}, year = 2019, booktitle = {XVII Conferencia Española y VII Encuentro Iberoamericano de Biometría - CEB-EIB 2019}, address = {19-21 June 2019, Valencia}, volume = {}, organization = {} } @inproceedings{Moreno19CEBEIB, title = {{Upscaling Plant Traits with Bayesian inference Approaches}}, author = {Moreno, A. et al.}, year = 2019, booktitle = {XVII Conferencia Española y VII Encuentro Iberoamericano de Biometría - CEB-EIB 2019}, address = {19-21 June 2019, Valencia}, volume = {}, organization = {} } @inproceedings{Piles19LP, title = {{Learning New Ways to Predict Agricultural Drought from Optical and Microwave Satellites}}, author = {Piles, M. and Laparra, V. and Padrón, J. A. and Bueso, D. and Sánchez, N. and González-Zamora, Á. and Martínez-Fernández, J. and Camps-Valls G.}, year = 2019, booktitle = {Living Planet Symposium}, address = {13-17 May 2019, Milano, Italy}, volume = {}, project = {sedal}, organization = {ESA} } @inproceedings{Escorihuela19LP, title = {{State of Art of Applications from Low Frequency Passive Microwave}}, author = {Maria Jose Escorihuela, Nemesio Rodríguez-Fernández, Jennifer Grant, Paolo Ferrazzoli, Thierry Pellarin, Ahmad Albitar, Thomas Kaminski, Maria Piles, Kimmo Rautiainen, Lars Kaleschke, Marion Leduc-Leballeur, Gishlain Picard, Giovanni Macelloni, Mike Schwank, Jacqueline Boutin, Patricia de Rosnay, Yann Kerr}, year = 2019, booktitle = {Living Planet Symposium}, address = {13-17 May 2019, Milano, Italy}, volume = {}, organization = {ESA} } @inproceedings{Mateo19LP, title = {{Statistical learning methods and optical/microwave fusion of time series for crop yield prediction}}, author = {Mateo-Sanchis, A. and Piles, M. and Muñoz-Marí, J. and Chaparro, D. and Adsuara, J. and Pérez-Suay, A. and Camps-Valls G.}, year = 2019, booktitle = {Living Planet Symposium}, address = {13-17 May 2019, Milano, Italy}, volume = {}, project = {sedal}, organization = {ESA} } @inproceedings{Moreno19LP, title = {{Gap filling Sentinel 2 observations in Google Earth Engine: a synergistic Landsat and MODIS Bayesian blending approach}}, author = {Moreno Martínez, Á. and Izquierdo Verdiguier, E. and Camps-Valls, G. and Robinson, N. and Martino, L. and Maneta M. P. and Allred, B. and Running, S. W.}, year = 2019, booktitle = {Living Planet Symposium}, address = {13-17 May 2019, Milano, Italy}, volume = {}, project = {sedal}, organization = {ESA} } @inproceedings{Bueso19LP, title = {{Revisiting global teleconnection patterns of ENSO over soils and vegetation}}, author = {Bueso, D. and Piles, M. and Fernandez-Moran, and Camps-Valls, G.}, year = 2019, booktitle = {Living Planet Symposium}, address = {13-17 May 2019, Milano, Italy}, volume = {}, organization = {ESA}, project = {sedal} } @inproceedings{Walther19LP, title = {{Remote sensing to track a bipolar response of forests and grasses to variations in soil water content}}, author = {Walther, S. and Duveiller, G. and Jung, M. and Guanter, L. and Cescatti, A. and Camps-Valls, G.}, year = 2019, booktitle = {Living Planet Symposium}, address = {13-17 May 2019, Milano, Italy}, volume = {}, project = {sedal}, organization = {ESA} } @inproceedings{Wolanin19LP, title = {{Crop Yield Prediction With Convolutional Neural Networks on Remote Sensing and Meteorological Data}}, author = {Wolanin, A. and Guanter, L. and Camps-Valls, G.}, year = 2019, booktitle = {Living Planet Symposium}, address = {13-17 May 2019, Milano, Italy}, volume = {}, project = {sedal}, organization = {ESA} } @inproceedings{Walther19EGU, title = {{Remote sensing to track differential responses of forests and grasses to variations in soil water content}}, author = {Sophia Walther, Gregory Duveiller, Martin Jung, Luis Guanter, Alessandro Cescatti, and Gustau Camps-Valls}, year = 2019, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, volume = {Vol. 21}, project = {sedal}, editor = {EGU General Assembly 2019}, organization = {EGU} } @inproceedings{CampsValls19EGU, title = {{Learning nonlinear feature representations from spatio-temporal Earth observation data}}, author = {Gustau Camps-Valls, Diego Bueso, and Maria Piles}, year = 2019, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, volume = {Vol. 21}, project = {sedal}, editor = {EGU General Assembly 2019}, organization = {EGU} } @inproceedings{Mateo19EGU, title = {{Multisensor distribution regression for crop yield estimation}}, author = {Anna Mateo Sanchis, Jose Adsuara, Maria Piles, Adrián Perez-Suay, Jordi Muñoz-Marí, and Gustau Camps-Valls}, year = 2019, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, volume = {Vol. 21}, project = {sedal}, editor = {EGU General Assembly 2019}, organization = {EGU} } @inproceedings{DiazSalas19EGU, title = {{Causal inference in Geosciences with multidimensional kernel deviance measures}}, author = {Emiliano Diaz Salas Porras, Adrian Perez Suay, Valero Laparra, and Gustau Camps-Valls}, year = 2019, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, volume = {Vol. 21}, project = {sedal,kermes}, editor = {EGU General Assembly 2019}, organization = {EGU} } @inproceedings{Wolanin19EGU, title = {{Extracting important features for crop yield prediction with convolutional neural networks on remote sensing and meteorological data}}, author = {Aleksandra Wolanin, Luis Guanter, Gustau Camps-Valls, and Grégory Duveiller}, year = 2019, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, volume = {Vol. 21}, project = {sedal}, editor = {EGU General Assembly 2019}, organization = {EGU} } @inproceedings{Moreno19EGU, title = {{Convergent cross-mapping for causal Inference in carbon and water fluxes processes}}, author = {Álvaro Moreno Martínez, Emiliano Díaz, Adrian Pérez Suay, Jose Adsuara, Valero Laparra, María Piles, Jordi Muñoz Marí, Steven W Running, and Gustau Camps-Valls}, year = 2019, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, volume = {Vol. 21}, project = {sedal}, editor = {EGU General Assembly 2019}, organization = {EGU} } @inproceedings{Teubner19EGU, title = {{Using microwave vegetation optical depth for estimating gross primary production}}, author = {Irene Teubner, Matthias Forkel, Gustau Camps-Valls, Martin Jung, Diego Miralles, Gianluca Tramontana, Robin van der Schalie, Mariette Vreugdenhil, Leander Mösinger, and Wouter Dorigo}, year = 2019, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, volume = {Vol. 21}, project = {sedal}, editor = {EGU General Assembly 2019}, organization = {EGU} } @inproceedings{Tramontana19EGU, title = {{A machine learning based approach for estimating gross carbon dioxide fluxes from eddy covariance net ecosystem exchange measurements}}, author = {Gianluca Tramontana, Martin Jung, Trevor Keenan, Mirco Migliavacca, Markus Reichstein, Jerome Ogee, Gustau Camps-Valls, and Dario Papale}, year = 2019, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, volume = {Vol. 21}, project = {sedal}, editor = {EGU General Assembly 2019}, organization = {EGU} } @inproceedings{Bueso18med, title = {{Extraction of SMOS soil moisture and ocean salinity main features across the Mediterranean region over the last decade}}, author = {Bueso Acevedo, D. and Piles, M. and Ballabrera-Poy, J. and Camps-Valls, G}, year = 2018, month = {11-12 December 2018.}, booktitle = {MED 2018}, address = {ESA-ESRIN, Frascati (Rome), Italy}, project = {sedal} } @inproceedings{Piles18CCI, title = {{Assessing memory effects in modeled and remotely sensed soil moisture products}}, author = {M. Piles, W. Dorigo, R. van der Schalie, A. Gruber, J. Muñoz-Marí, G. Camps-Valls, R. de Jeu}, year = 2018, month = {15 November 2018.}, booktitle = {ESA CCI Soil Moisture Workshop}, address = {Vienna, Austria}, project = {sedal} } @inproceedings{Runge18agu, title = {{Causal discovery in Earth system science: State-of-the-art and a new Causality Challenge platform}}, author = {Runge, J. and Munoz-Marí, J. and Camps-Valls, G.}, year = 2018, month = {10-14 December 2018.}, booktitle = {AGU Fall Meeting}, address = {Washington, USA}, project = {sedal} } @inproceedings{Moreno18agu, title = {{Gap fillingof Landsat reflectance time series using Google Earth Engine}}, author = {Alvaro Moreno, Marco P Maneta, Gustau Camps-Valls, Luca Martino, Nathaniel Robinson, Brady W Allred and Steven W Running}, year = 2018, month = {10-14 December 2018.}, booktitle = {AGU Fall Meeting}, address = {Washington, USA}, project = {sedal} } @inproceedings{CampsValls18agu, title = {{Crop Yield Prediction with Nonlinear Distribution Regression}}, author = {Gustau Camps-Valls, Jose Adsuara, Adrian Perez-Suay Jordi Munoz-Mari, Anna Mateo-Sanchis, Maria Piles}, year = 2018, month = {10-14 December 2018.}, booktitle = {AGU Fall Meeting}, address = {Washington, USA}, project = {sedal} } @inproceedings{Gomez18phiweeDL, title = {{Transferring Knowledge between EO Satellite Missions: Proba-V Cloud Detection through Deep Learning}}, author = {Luis Gomez-Chova, Gonzalo Mateo-Garcia, Gustau Camps-Valls}, year = 2018, month = {12-16 November 2018.}, booktitle = {The Phi-week - EO Open Science and Future EO}, address = {ESA-ESRIN, Italy}, project = {sedal} } @inproceedings{Gomez18phiweeGEE, title = {{Exploiting Time on the Google Earth Engine: Cloud Detection of Landsat-8 Time Series}}, author = {Luis Gomez-Chova, Gonzalo Mateo-Garcia, Jordi Munoz-Mari, Gustau Camps-Valls}, year = 2018, month = {12-16 November 2018}, booktitle = {The Phi-week - EO Open Science and Future EO}, address = {ESA-ESRIN, Italy}, project = {sedal} } @inproceedings{Ruescas18phiweekHyperlabelme, title = {{HyperLabelMe: Benchmarking Image Classifiers}}, author = {Ana Ruescas, Jordi Munoz-Mari, Luis Gomez-Chova, Gonzalo Mateo-Garcia, Emma Izquiedo, Manuel Campos, Gustau Camps-Valls}, year = 2018, month = {12-16 November 2018}, booktitle = {The Phi-week - EO Open Science and Future EO}, address = {ESA-ESRIN, Italy}, project = {sedal} } @inproceedings{Camps18phiweekPhysics, title = {{Physics-aware And Explainable Machine Learning}}, author = {Gustau Camps-Valls, Luis Gomez-Chova, Daniel Svendsen, Diego Bueso, Luca Martino, Adrian Perez, Maria Piles, Valero Laparra, Ana Ruescas}, year = 2018, month = {12-16 November 2018}, booktitle = {The Phi-week - EO Open Science and Future EO}, address = {ESA-ESRIN, Italy}, project = {sedal} } @inproceedings{Camps18phiweekESDC, title = {{Statistical Distillation of the Earth System Data Cube}}, author = {Gustau Camps-Valls, Juan Johnson, Valero Laparra, Diego Bueso, Gunnar Brandt, Norman Fomferra, Hans Permana and Miguel Mahecha}, year = 2018, month = {12-16 November 2018}, booktitle = {The Phi-week - EO Open Science and FutureEO}, address = {ESA-ESRIN, Italy}, project = {sedal} } @inproceedings{Moreno18icei, title = {{A general framework for global mapping of plant traits with operational satellites and climatological data}}, author = {Alvaro Moreno Martinez, Gustau Camps-Valls, Jens Kattge, Nuno Carvalhais, Markus Reichstein, Emma Izquierdo, Daniel Heestermans Svendsen and Steven W Running}, year = 2018, month = {24-28 September 2018}, booktitle = {10th International Conference on Ecological Informatics (ICEI)}, address = {Jena, Germany}, project = {sedal} } @inproceedings{Izquierdo18icei, title = {{Gross Primary Production and spring onset linked by spatio-temporal data analysis}}, author = {Emma Izquierdo-Verdiguier, Alvaro Moreno, Raul Zurita-Milla, Gustau Camps-Valls and Steve Running}, year = 2018, month = {24-28 September 2018}, booktitle = {10th International Conference on Ecological Informatics (ICEI)}, address = {Jena, Germany}, project = {sedal} } @inproceedings{Wigneron20181451, title = {{SMOS-IC: Current status and overview of soil moisture and VOD applications}}, author = {Wigneron, J.-P. and Mialon, A. and De Lannoy, G. and Fernandez-Moran, R. and Al-Yaari, A. and Ebrahimi, M. and Rodriguez-Fernandez, N. and Kerr, Y. and Quets, J. and Pellarin, T. and Fan, L. and Tian, F. and Fensholt, R. and Brandt, M.}, year = 2018, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {2018-July}, pages = {1451--1454}, doi = {https://doi.org/10.1109/IGARSS.2018.8519382}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045997450&doi=10.1109%2fIGARSS.2018.8519382&partnerID=40&md5=4fb293e8607d5ce817b6f394f8ca2fe4}, note = 3, art_number = 8519382, document_type = {Conference Paper}, source = {} } @inproceedings{Al-Yaari20171566, title = {{First glance on a revised SMOS soil moisture retrieval algorithm: Evaluation with respect to ECMWF soil moisture simulations}}, author = {Al-Yaari, A. and Fernandez-Moran, R. and Wigneron, J.-P. and Mialon, A. and Mahmoodi, A. and Bitar, A.A. and Kerr, Y.}, year = 2017, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {2017-July}, pages = {1566--1569}, doi = {https://doi.org/10.1109/IGARSS.2017.8127269}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041829989&doi=10.1109%2fIGARSS.2017.8127269&partnerID=40&md5=bc1c15476440fd0f7084f3f8a335a2e6}, note = {0}, art_number = 8127269, document_type = {Conference Paper}, source = {} } @inproceedings{Fernandez-Moran20171570, title = {{SMOS-IC: A revised SMOS product based on a new effective scattering albedo and soil roughness parameterization}}, author = {Fernandez-Moran, R. and Wigneron, J.-P. and De Lannoy, G. and Lopez-Baeza, E. and Parrens, M. and Mialon, A. and Mahmoodi, A. and Al-Yaari, A. and Bircher, S. and Bitar, A.A. and Richaume, P. and Kerr, Y.}, year = 2017, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {2017-July}, pages = {1570--1573}, doi = {https://doi.org/10.1109/IGARSS.2017.8127270}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041834169&doi=10.1109%2fIGARSS.2017.8127270&partnerID=40&md5=40d2dbe4ea5bcf46ad53de8b859d07b1}, note = {0}, art_number = 8127270, document_type = {Conference Paper}, source = {} } @inproceedings{Kerr20175584, title = {{SMOS and applications: First glance at synergistic and new results}}, author = {Kerr, Y.H. and Wigneron, J.-P. and Mahmoodi, A. and Bitar, A.A. and Mialon, A. and Bircher, S. and Molero, B. and Richaume, P. and Cabot, F. and Rodriguez-Fernandez, N. and Parrens, M. and Al-Yaari, A. and Fernandez, R.}, year = 2017, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {2017-July}, pages = {5584--5587}, doi = {https://doi.org/10.1109/IGARSS.2017.8128270}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041854034&doi=10.1109%2fIGARSS.2017.8128270&partnerID=40&md5=290ca6efe5a803c022521e1376a60caa}, note = {0}, art_number = 8128270, document_type = {Conference Paper}, source = {} } @inproceedings{Fernandez-Moran2016826, title = {{Calibrating the effective scattering albedo in the SMOS algorithm: Some first results}}, author = {Fernandez-Moran, R. and Wigneron, J.-P. and De Lannoy, G. and Lopez-Baeza, E. and Mialon, A. and Mahmoodi, A. and Parrens, M. and Al Bitar, A. and Richaume, P. and Kerr, Y.}, year = 2016, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {2016-November}, pages = {826--829}, doi = {https://doi.org/10.1109/IGARSS.2016.7729209}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007478590&doi=10.1109%2fIGARSS.2016.7729209&partnerID=40&md5=dcc3e0b86532a870ddba9a12608b86f4}, note = 2, art_number = 7729209, document_type = {Conference Paper}, source = {} } @inproceedings{Yin20163137, title = {{Intercomparison of soil moisture retrieved from GNSS-R and passive L-band radiometry at the Valencia Anchor Station}}, author = {Yin, C. and Lopez-Baeza, E. and Martin-Neira, M. and Fernandez Moran, R. and Peinado-Galan, N. and Navarro, E. and Egido, A. and Mollfulleda, A. and Li, W. and Cao, Y. and Zhu, B. and Yang, D.}, year = 2016, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {2016-November}, pages = {3137--3139}, doi = {https://doi.org/10.1109/IGARSS.2016.7729811}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007504324&doi=10.1109%2fIGARSS.2016.7729811&partnerID=40&md5=f15ee7638609983d1ae1495b14683997}, note = {0}, art_number = 7729811, document_type = {Conference Paper}, source = {} } @inproceedings{Al-Yaari20152493, title = {{Evaluation of the most recent reprocessed SMOS soil moisture products: Comparison between SMOS level 3 V246 and V272}}, author = {Al-Yaari, A. and Wigneorn, J.P. and Ducharne, A. and Kerr, Y. and Fernandez-Moran, R. and Parrens, M. and Bi-Tar, A.A. and Mialon, A. and Richaume, P.}, year = 2015, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {2015-November}, pages = {2493--2496}, doi = {https://doi.org/10.1109/IGARSS.2015.7326316}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962516563&doi=10.1109%2fIGARSS.2015.7326316&partnerID=40&md5=e6de9ffb651bd8bbb1bab7c1f9f995a9}, note = 3, art_number = 7326316, document_type = {Conference Paper}, source = {} } @inproceedings{Fernandez-Moran20155182, title = {{Analyzing the impact of using the SRP (Simplified roughness parameterization) method on soil moisture retrieval over different regions of the globe}}, author = {Fernandez-Moran, R. and Wigneron, J.-P. and Lopez-Baeza, E. and Al-Yaari, A. and Bircher, S. and Coll-Pajaron, A. and Mahmoodi, A. and Parrens, M. and Richaume, P. and Kerr, Y.}, year = 2015, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {2015-November}, pages = {5182--5185}, doi = {https://doi.org/10.1109/IGARSS.2015.7327001}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962577587&doi=10.1109%2fIGARSS.2015.7327001&partnerID=40&md5=d5c6bab90de3ebc6eb1a84436b3f07db}, note = 2, art_number = 7327001, document_type = {Conference Paper}, source = {} } @inproceedings{Fernandez-Moran20141947, title = {{Evaluating the impact of roughness in soil moisture and optical thickness retrievals over the VAS area}}, author = {Fernandez-Moran, R. and Wigneron, J.-P. and Lopez-Baeza, E. and Salgado-Hernanz, P.M. and Mialon, A. and Miernecki, M. and Alyaari, A. and Parrens, M. and Schwank, M. and Wang, S. and Coll-Pajaron, A. and Lawrence, H. and Kerr, Y.H.}, year = 2014, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, pages = {1947--1950}, doi = {https://doi.org/10.1109/IGARSS.2014.6946841}, url = 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art_number = 6946971, document_type = {Conference Paper}, source = {} } @inproceedings{Wang20143311, title = {{Evaluating roughness effects on C-band AMSR-E observations}}, author = {Wang, S. and Wigneron, J.-P. and Parrens, M. and Al-Yaari, A. and Fernandez-Moran, R. and Jiang, L.-M. and Zeng, J.-Y. and Kerr, Y.}, year = 2014, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, pages = {3311--3314}, doi = {https://doi.org/10.1109/IGARSS.2014.6947188}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911393114&doi=10.1109%2fIGARSS.2014.6947188&partnerID=40&md5=297fb9713b2bafd1ea58ebfdebfbeea4}, note = 1, art_number = 6947188, document_type = {Conference Paper}, source = {} } @inproceedings{Parrens20144675, title = {{Global maps of roughness parameters from L-band SMOS observations}}, author = {Parrens, M. and Wigneron, J.-P. and Richaume, P. and Kerr, Y. and Wang, S. and Alyaari, A. and Fernandez-Moran, R. and Mialon, A. and Escorihuela, M.J. and Grant, J.-P.}, year = 2014, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, pages = {4675--4678}, doi = {https://doi.org/10.1109/IGARSS.2014.6947536}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911424004&doi=10.1109%2fIGARSS.2014.6947536&partnerID=40&md5=8dc7b0956c65ec00b57095b43d47705f}, note = 9, art_number = 6947536, document_type = {Conference Paper}, source = {} } @inproceedings{CampsValls18oxfordworkshop, title = {{Machine Learning for Climate: 15 ways to leave your lover}}, author = {Gustau Camps-Valls}, year = 2018, month = {October, 31st - November 1st}, address = {Machine Learning and Climate Workshop 2018 - Oxford, UK}, url = {}, project = {sedal} } @inproceedings{CampsValls18ci, title = {{Unsupervised Deep Feature Learning with Sparse Codes and Gaussianization}}, author = {Gustau Camps-Valls}, year = 2018, month = sep, address = {Climate Informatics 2018, NCAR, Boulder, US}, url = {}, project = {sedal} } @inproceedings{Martino18SSP, title = {{Distributed Particle Metropolis-Hastings schemes}}, author = {L. Martino and V. Elvira and G. Camps-Valls}, year = 2018, month = {June 10-13}, booktitle = {IEEE Statistical Signal Processing Workshop (SSP)}, address = {Freiburg, Germany}, project = {sedal} } @inproceedings{Baur18micro, title = {{Estimation of Vegetation Loss Coefficients and Canopy Penetration Depths from Combination of Multi-Frequency Radiometer and Icesat Lidar Data }}, author = {Martin Baur and Thomas Jagdhuber and Moritz Link and María Piles and Dara Entekhabi}, year = 2018, booktitle = {15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment} } @inproceedings{Fink18micro, title = {{Estimation of Gravimetric Moisture of Vegetation Using an Attenuation-Based Multi-Sensor Approach}}, author = {Anita Fink and Thomas Jagdhuber and María Piles and Jennifer Grant and Martin Baur and Moritz Link and Dara Entekhabi}, year = 2018, booktitle = {15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment} } @inproceedings{Rossato18, title = {{Impact of Soil Moisture in Agriculture in the Brazilian Semiarid Using Water Balance and SMOS Satellite Data }}, author = {Luciana Rossato and Mercè Vall-llossera and Adriano Camps and David Chaparro and María Piles and Jose Antonio Marengo and Alzira Gabrielle Soares Saraiva Souza}, year = 2018, booktitle = {15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment} } @inproceedings{Chaparro18Micro, title = {{Biomass Estimates From L, C and X-Bands VOD Retrievals in South American Tropical Forests}}, author = {David Chaparro and Grégory Duveiller and Alessandro Cescatti and María Piles and Mercè Vall-llossera and Adriano Camps}, year = 2018, booktitle = {15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment} } @inproceedings{Jagdhuber18, title = {{Single-Pass Estimation of Vegetation Optical Depth and Effective Scattering Albedo Using Physics-Based Multi-Sensor Data Integration}}, author = {Thomas Jagdhuber and Martin Baur and Moritz Link andMaría Piles and Ruzbeh Akbar and Dara Entekhabi and Carsten Montzka and Jaakko Seppaenen and Oleg Antropov and Jaan Praks}, year = 2018, booktitle = {15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment} } @inproceedings{Baur18, title = {{Multi-Frequency Estimation Of Canopy Penetration Depths From SMAP/AMSR2 Radiometer And Icesat Lidar Data}}, author = {Martin Baur and Thomas Jagdhuber and Moritz Link and María Piles and Ruzbeh Akbar and Dara Entekhabi}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain} } @inproceedings{Brockmann18, title = {{Validation, satellite comparison and evolution of OLCI products for optically complex waters}}, author = {Carsten Brockmann and Ana Ruescas and Kerstin Stelzer and Carole Lebreton and Roland Doerffer}, year = 2018, month = {March 13-15}, booktitle = {S3VT meeting}, address = {EUMETSAT, Darmstadt, Germany} } @inproceedings{Vicent18igarss, title = {{Statistical Learning for End-to-End simulator}}, author = {Jorge Vicent, Jochem Verrelst, Juan Pablo Rivera-Caicedo, Neus Sabater, Jordi Muñoz-Marí, Gustau Camps-Vallas, José Moreno}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain} } @inproceedings{Bueso18, title = {{Nonlinear Complex PCA for Spatio-Temporal Analysis of Global Soil Moisture}}, author = {Diego Bueso and Maria Piles and Gustau Camps-Valls}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain}, project = {sedal} } @inproceedings{Chaparro18a, title = {{L-Band Vegetation Optical Depth for Crop Phenology Monitoring and Crop Yield Assessment}}, author = {David Chaparro and Maria Piles and Mercè Vall-Llossera and Adriano Camps and Alexandra G. Konings and Dara Entekhabi and Thomas Jagdhuber}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain} } @inproceedings{Chaparro18b, title = {{Modelling Forest Decline Using SMOS Soil Moisture and Vegetation Optical Depth}}, author = {David Chaparro and Maria Piles and Jordi Martínez-Vilalta and Mercè Vall-Llossera and Jordi Vayreda and Mireia Banqué-Casanovas and Adriano Camps}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain} } @inproceedings{Chaparro18EGU, title = {{Biomass estimation in tropical forests using L, C, and X-band Vegetation Optical Depth}}, author = {D. Chaparro and G. Duveiller and A. Cescatti and M. Piles and M. Vall-llossera and A. Camps}, year = 2018, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, volume = {Vol. 20}, editor = {EGU General Assembly 2018}, organization = {EGU} } @inproceedings{Diaz18, title = {{Consistent Regression of Biophysical Parameters with Kernel Methods}}, author = {Emiliano Díaz and Adrián Peréz-Suay and Valero Laparra and Gustau Camps-Valls}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain}, project = {sedal,kermes} } @inproceedings{Fink18, title = {{Estimating Gravimetric Moisture Of Vegetation Using An Attenuation-Based Multi-Sensor Approach}}, author = {Anita Fink and Thomas Jagdhuber and María Piles and Jennifer Grant and Martin Baur and Moritz Link and Dara Entekhabi}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain} } @inproceedings{Garcia18, title = {{Generation of Global Vegetation Products from Eumetsat AVHRR/MetOp Satellites}}, author = {Francisco Javier García-Haro and Manuel Campos-Taberner and Beatriz Martínez and Sergio Sánchez-Ruiz and María Amparo Gilabert and Gustau Camps-Valls and Jordi Muñoz-Marí and Valero Laparra and Fernando Camacho and Jorge Sánchez-Zapero and Beatriz Fuster}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain}, project = {sedal} } @inproceedings{Izquierdo18EGU, title = {{Gross Primary Production and spring onset: spatial-temporal correlation analysis}}, author = {E. Izquierdo-Verdiguier and A. Moreno and R. Zurita-Milla and G. Camps-Valls and S. Running}, year = 2018, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, volume = {Vol. 20}, editor = {EGU General Assembly 2018}, organization = {EGU}, project = {sedal} } @inproceedings{Johnson18, title = {{Disentangling Derivatives, Uncertainty and Error in Statistical Models }}, author = {Juan Emmanuel Johnson and Valero Laparra and Gustau Camps-Valls}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain}, project = {sedal,kermes} } @inproceedings{Johnson18EGU, title = {{Estimating Information in Earth Data Cubes}}, author = {J.E. Johnson and E. Diaz and Valero Laparra and M. Mahecha and D. Miralles and G. Camps-Valls}, year = 2018, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, volume = {Vol. 20}, project = {sedal}, editor = {EGU General Assembly 2018}, organization = {EGU} } @inproceedings{Malgrem18, title = {{Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval}}, author = {David Malmgren-Hansen and Valero Laparra and Allan Aasbjerg Nielsen and Gustau Camps-Valls}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain}, project = {sedal} } @inproceedings{Mateo18a, title = {{Optimizing Kernel Ridge Regression for Remote Sensing Problems}}, author = {Gonzalo Mateo-García and Valero Laparra and Luis Gómez-Chova}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain}, project = {sedal,kermes} } @inproceedings{Mateo18b, title = {{Convolutional Neural Networks For Cloud Screening: Transfer Learning From Landsat-8 To Proba-V}}, author = {Gonzalo Mateo-García and Luis Gómez-Chova}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain} } @inproceedings{Mateo-Sanchis18, title = {{Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes }}, author = {Anna Mateo-Sanchis and Jordi Muñoz-Marí and Manuel Campos-Taberner and Javier García-Haro and Gustau Camps-Valls}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain}, project = {sedal,kermes} } @inproceedings{Mazeran18, title = {{OLCI System Vicarious Calibration for Non-standard Atmospheric Correction}}, author = {Constant Mazeran and Carsten Brockmann and François Steinmetz, and Ana Ruescas}, year = 2018, month = {March 13-15}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {EUMETSAT, Darmstadt, Germany} } @inproceedings{Mecklenburg18, title = {{ESA's SMOS Mission: Supporting Agricultural Applications}}, author = {Susanne Mecklenburg and Matthias Drusch and Yann Kerr and Ahmad Albitar and Nemesio Rodriguez-Fernandez and Maria Jose Escorihuela and Jean-Pierre Wigneron and Maria Piles and Roberto Sabia}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain} } @inproceedings{Moreno18, title = {{Interpolation and Gap Filling of Landsat Reflectance Time Series}}, author = {Alvaro Moreno and Marco Maneta and Gustau Camps-Valls and Luca Matino and Nathaniel Robinson and Brady Allred and Steve Running}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain}, project = {sedal} } @inproceedings{Moreno18EGU, title = {{Refining Maximum Light Use Efficiency for Land Carbon Models Using Satellite Data and Climatology}}, author = {A. Moreno and G. Camps-Valls and J. Kattge and M. Reichstein and S.W. Running}, year = 2018, month = may, booktitle = {European Geosciences Union, EGU General Assembly 2018}, location = {Vienna, Austria}, project = {sedal} } @inproceedings{Nar18a, title = {{Sparsity-Driven Digital Terrain Model Extraction}}, author = {Fatih Nar and Erdal Yilmaz and Gustau Camps-Valls}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain}, project = {sedal} } @inproceedings{Nar18b, title = {{Randomized RX for Target Detection}}, author = {Fatih Nar and Adrian Perez-Suay and Jose Antonio Padron and Gustau Camps-Valls}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain}, project = {sedal} } @inproceedings{Padron18, title = {{Nonlinear Cook Distance for Anomalous Change Detection }}, author = {Jose A. Padrón Hidalgo and Adrián Pérez-Suay and Fatih Nar and Gustau Camps-Valls}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain} } @inproceedings{Piles18, title = {{Global Estimation of Soil Moisture Persistence with L and C-Band Microwave Sensors}}, author = {Maria Piles and Robin Van Der Schalie and Alexander Gruber and Gustau Camps-Valls and Robert Parinussa and Wouter Dorigo and Richard De Jeu}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain}, project = {sedal} } @inproceedings{Portal18, title = {{Microwave And Optical Data Fusion for Global Mapping of Soil Moisture at High Resolution }}, author = {Gerard Portal and Mercè Vall-Llossera and Maria Piles and Adriano Camps and David Chaparro and Miriam Pablos and Luciana Rossato and Khalid Abouch}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain} } @inproceedings{Ruescas18a, title = {{Retrieval Of Case 2 Water Quality Parameters with Machine Learning}}, author = {Ana Belen Ruescas and Gonzalo Mateo-Garcia and Gustau Camps-Valls and Martin Hieronymi}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain}, project = {sedal} } @inproceedings{Salvia18, title = {{Seasonal Analysis of Surface Soil Moisture Dry-Downs in a Land-Atmosphere Hotspot as seen By LSM And Satellite Products}}, author = {Mercedes Salvia and Romina Ruscica and Anna Sörensson and Jan Polcher and Maria Piles and Haydee Karszenbaum}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain} } @inproceedings{Svendsen18a, title = {{Multioutput Automatic Emulator for Radiative Transfer Models }}, author = {Daniel Heestermans Svendsen and Luca Martino and Jorge Vicent and Gustau Camps-Valls}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain}, project = {sedal} } @inproceedings{Svendsen18b, title = {{Deep Gaussian Processes for Geophysical Parameter Retrieval}}, author = {Daniel Heestermans Svendsen and Pablo Morales-Álvarez and Rafael Molina and Gustau Camps-Valls}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain}, project = {sedal,kermes} } @inproceedings{Szigazski18, title = {{Analysis of the Radar Vegetation Index and Assessment of Potential for Improvement}}, author = {Christoph Szigarski and Thomas Jagdhuber and Martin Baur and Christian Thiel and Mikhail Urbazaev and Marie Parrens and Jean-Pierre Wigneron and María Piles and Kaighin Mccoll and Dara Entekhabi}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain} } @inproceedings{Teubner18EGU, title = {{Analyzing Microwave Vegetation Optical Depth in Relation to Gross Primary Production}}, author = {I.E. Teubner and M. Forkel and M. Jung and Y.Y. Liu and D.G. Miralles and R. Parinussa and R. van der Schalie and M. Vreugdenhil and C.R. Schwalm and G. Tramontana and G. Camps-Valls and W.A. Dorigo}, year = 2018, booktitle = {EGU General Assembly, Geophysical Research Abstracts}, volume = {Vol. 20}, project = {sedal}, editor = {EGU General Assembly 2018}, organization = {EGU} } @inproceedings{Tuia18, title = {{A Deep Network Approach to Multitemporal Cloud Detection }}, author = {Devis Tuia and Benjamin Kellenberger and Adrian Pérez-Suay and Gustau Camps-Valls}, year = 2018, month = {July 23-28}, booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium}, address = {València, Spain}, project = {sedal} } @inproceedings{CamposTaberner17raqrs, title = {{Generation of multisource LAI time series for crop assessment}}, author = {M. Campos-Taberner and F.J. Garcia-Haro and F.J. Nutini and G. Grau-Muedra and G. Camps-Valls and L. Busetto and D. Katsantonis and D. Stavrakoudis and C. Minakou and B. Martinez and S. Sanchez-Ruiz and M.A. Gilabert and L. Gatti and M. Barbieri and F.J. Collivignarelli and F.J. Holecz and D. Stroppiana and M. Boschetti}, year = 2017, month = {18-22 September}, booktitle = {5th International Symposium -- Recent Advances in Quantitative Remote Sensing}, address = {Torrent, Spain}, project = {sedal,ermes} } @inproceedings{CampsValls17agu_emula, title = {{Advanced Machine Learning Emulators of Radiative Transfer Models}}, author = {G. Camps-Valls and J. Verrelst and L. Martino and J. Vicent}, year = 2017, booktitle = {American Geophysical Union (AGU) Fall meeting 2017}, address = {New Orleans, USA, 11-15 December 2017}, project = {sedal} } @inproceedings{CampsValls17agu_gps, title = {{Large Scale Gaussian Processes for Atmospheric Parameter Retrieval and Cloud Screening}}, author = {G. Camps-Valls and L. Gomez-Chova and G. Mateo and V. Laparra and Adrian Perez-Suay and J. Munoz-Mari}, year = 2017, booktitle = {American Geophysical Union (AGU) Fall meeting 2017}, address = {New Orleans, USA, 11-15 December 2017}, project = {sedal} } @inproceedings{CampsValls17agu_wood, title = {{Mapping wood density globally using remote sensing and climatological data}}, author = {A. Moreno-Martinez and G. Camps-Valls and N. Carvalhais and J. Kattge and N. Robinson and M. Reichstein and B. Allred and S.W. Running}, year = 2017, booktitle = {American Geophysical Union (AGU) Fall meeting 2017}, address = {New Orleans, USA, 11-15 December 2017}, project = {sedal} } @inproceedings{CampsValls17egu, title = {{Vegetation Monitoring with Gaussian Processes and Latent Force Models}}, author = {Camps-Valls, G. and Svendsen, D. and Campos, M. and Martino, L. and Luengo, D.}, year = 2017, booktitle = {European Geosciences Union General Assembly 2017}, address = {Vienna, Austria, 23-28 April 2017}, project = {sedal} } @inproceedings{CampsValls17lfmearsl, title = {{Latent Force Models for Model-Data Integration in Vegetation Monitoring}}, author = {Martino, L. and Luengo, D. and Camps-Valls, G.}, year = 2017, booktitle = {10th EARSeL SIG Imaging Spectroscopy Workshop}, address = {19-21 April 2017, University of Zurich (Switzerland)}, project = {sedal} } @inproceedings{CampsValls17scia, title = {{Physics-Aware Gaussian Processes for Earth Observation}}, author = {G. Camps-Valls and Daniel Svendsen and L. Martino and J. Munoz-Mari and V. Laparra and M. Campos-Taberner and David Luengo}, year = 2017, month = {12-14 June}, booktitle = {Scandinavian Conference on Image Analysis (SCIA)}, address = {Troms\o, Norway}, project = {sedal} } @inproceedings{GarciaHaro17raqrs, title = {{The geostationary and polar orbit LSA SAF vegetation products}}, author = {F.J. Garcia-Haro and M. Campos-Taberner and F. Camacho and B. Martinez and J. Sanchez-Zapero and G. Camps-Valls and S. Sanchez-Ruiz and M.A. Gilabert}, year = 2017, month = {18-22 September}, booktitle = {5th International Symposium -- Recent Advances in Quantitative Remote Sensing}, address = {Torrent, Spain}, project = {sedal} } @inproceedings{GarciaSobrino17eum, title = {{Statistical Retrieval of Temperature and Moisture Atmospheric Profiles Benefits from Spatial-Spectral Image Compression}}, author = {J. Garcia-Sobrino and J. Serra-Sagrista and V. Laparra and X. Calbet and G. Camps-Valls}, year = 2017, month = {2-6 October}, booktitle = {2017 EUMETSAT Meteorological Satellite Conference}, address = {Rome, Italy}, url = {http://isp.uv.es/papers/GarciaSobrino17eum.pdf}, project = {sedal} } @inproceedings{GomezChova17raqrs, title = {{Advances in statistical cloud screening: the Proba-V case study}}, author = {Gomez-Chova, L. and Mateo-Garcia, G. and Munoz-Mari, J. and Camps-Valls, G.}, year = 2017, month = {18-22 September}, booktitle = {5th International Symposium -- Recent Advances in Quantitative Remote Sensing}, address = {Torrent, Spain}, project = {sedal} } @inproceedings{Ichii17jpguagu, title = {{FLUXCOM remote sensing data based CO2 flux products: overview and synthesis}}, author = {K. Ichii and M. Jung and G. Tramontana and G. Camps-Valls and C. R Schwalm and M. Kondo and D. Papale and M. Reichstein and U. Weber and Y. Yanagi}, year = 2017, month = {20-25 May}, booktitle = {JpGU/AGU Joint Meeting}, address = {Makuhari Messe, Japan}, project = {sedal} } @inproceedings{Koirala17egu, title = {{Global distribution of groundwater-vegetation spatial covariation}}, author = {S. Koirala and Martin Jung and M. Reichstein and Inge E.M. de Graaf and G. Camps-Valls and K. Ichii and D. Papale and B. Raduly and C.R. Schwalm and G. Tramontana and N. Carvalhais}, year = 2017, booktitle = {European Geosciences Union General Assembly 2017}, address = {Vienna, Austria, 23-28 April 2017}, project = {sedal} } @inproceedings{Laparra17eum, title = {{Nonlinear statistical retrieval of land surface emissivity from infrared sounding data}}, author = {V. Laparra and J. Munoz-Mari and L. Gomez and X. Calbet and and G. Camps-Valls}, year = 2017, month = {2-6 October}, booktitle = {2017 EUMETSAT Meteorological Satellite Conference}, address = {Rome, Italy}, project = {sedal} } @inproceedings{Descals17igarss, title = {{Predicting year of plantation with hyperspectral and lidar data}}, author = {A. Descals and L. Alonso and G. Camps-Valls}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {1780--1783}, doi = {https://doi.org/10.1109/IGARSS.2017.8127320}, issn = {}, keywords = {Gaussian processes;feature extraction;forestry;geophysical image processing;hyperspectral imaging;image classification;learning (artificial intelligence);optical radar;remote sensing by laser beam;vegetation;vegetation mapping;GPC algorithm;Gaussian process classifier;LiDAR data;North Carolina;USA;forest area;forestry management;hyperspectral data;machine learning classifier;morphological feature extraction;plantation year prediction;remote sensing data;spectral feature extraction;textural feature extraction;Feature extraction;Gaussian processes;Hyperspectral imaging;Laser radar;Training;Vegetation;Data fusion;Gaussian process classification;Hyperspectral;LiDAR;Vegetation monitoring}, project = {sedal,kermes} } @inproceedings{Sanchez17igarss, title = {{Preliminary assessment of an integrated SMOS and MODIS application for global agricultural drought monitoring}}, author = {N. Sánchez and A. González-Zamora and J. Martínez-Fernández and M. Piles and M. Pablos and B. Wardlow and T. Tadesse and M. Svoboda}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {2000--2003}, doi = {https://doi.org/10.1109/IGARSS.2017.8127374}, issn = {} } @inproceedings{Sabaghy17igarss, title = {{Comparison of downscaling techniques for high resolution soil moisture mapping}}, author = {S. Sabaghy and J. Walker and L. Renzullo and R. Akbar and S. Chan and J. Chaubell and N. Das and R. S. Dunbar and D. Entekhabi and A. Gevaert and T. Jackson and O. Merlin and M. Moghaddam and J. Peng and J. Piepmeier and M. Piles and G. Portal and C. Rüdiger and V. Stefan and X. Wu and N. Ye and S. Yueh}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {2523--2526}, doi = {https://doi.org/10.1109/IGARSS.2017.8127508}, issn = {} } @inproceedings{Entekhabi17igarss, title = {{Smap-based retrieval of vegetation opacity and albedo}}, author = {D. Entekhabi and A. Konings and M. Piles and N. Das}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {2554--2556}, doi = {https://doi.org/10.1109/IGARSS.2017.8127516}, issn = {} } @inproceedings{Baur17igarss, title = {{Estimation of vegetation loss coefficients and canopy penetration depths from smap radiometer and ICESat lidar data}}, author = {M. Baur and T. Jagdhuber and M. Link and M. Piles and D. Entekhabi and A. Fink}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {2891--2894}, doi = {https://doi.org/10.1109/IGARSS.2017.8127602}, issn = {} } @inproceedings{Portal17igarss, title = {{A spatially consistent downscaling approach for SMOS using an adaptive moving window}}, author = {G. Portal and M. Vall-llossera and M. Piles and A. Camps and D. Chaparro and M. Pablos and L. Rossato}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {4151--4153}, doi = {https://doi.org/10.1109/IGARSS.2017.8127915}, issn = {} } @inproceedings{Jaghuber17igarss, title = {{PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration}}, author = {T. Jagdhuber and M. Baur and M. Link and M. Piles and D. Entekhabi and C. Montzka and J. Seppänen and O. Antropov and J. Praks and A. Löw}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {4322--4325}, doi = {https://doi.org/10.1109/IGARSS.2017.8127958}, issn = {} } @inproceedings{Piles17igarss, title = {{Remote sensing of vegetation dynamics in agro-ecosystems using SMAP vegetation optical depth and optical vegetation indices}}, author = {M. Piles and G. Camps-Valls and D. Chaparro and D. Entekhabi and A. G. Konings and T. Jagdhuber}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {4346--4349}, doi = {https://doi.org/10.1109/IGARSS.2017.8127964}, issn = {}, project = {sedal} } @inproceedings{Chaparro17igarss, title = {{SMAP Multi-Temporal vegetation optical depth retrieval as an indicator of crop yield trends and crop composition}}, author = {D. Chaparro and M. Vall-llossera and A. Camps and M. Piles and A. G. Konings and D. Entekhabi}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {4362--4365}, doi = {https://doi.org/10.1109/IGARSS.2017.8127967}, issn = {} } @inproceedings{Laparra17igarss, title = {{Nonlinear statistical retrieval of surface emissivity from IASI data}}, author = {V. Laparra and J. Muñoz-Marí and L. Gómez-Chova and X. Calbet and G. Camps-Valls}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {5450--5453}, doi = {https://doi.org/10.1109/IGARSS.2017.8128237}, issn = {}, url = {http://isp.uv.es/papers/Laparra17igarss.pdf}, project = {sedal,kermes}, keywords = {aerosols;atmospheric composition;atmospheric humidity;atmospheric techniques;emissivity;least squares approximations;regression analysis;remote sensing;troposphere;IASI data;Infrared Atmospheric Sounding Interferometer simulated data;aerosols;continental surfaces;emissivity spectra;high spectral resolution;high-dimensional input-output spaces;infrared sounders;kernel methods;kernel regression model;long-term monitoring;models performance;multioutput statistical regression;nonlinear statistical retrieval;output variables;radiative budget;retrieval problem;spectral emissivity;surface emissivity;trace gases concentration;troposphere properties;Atmospheric modeling;Biological system modeling;Kernel;Linear regression;Standards;Symmetric matrices;Training} } @inproceedings{Gomez17igarss, title = {{Cloud detection machine learning algorithms for PROBA-V}}, author = {L. Gómez-Chova and G. Mateo-García and J. Muñoz-Marí and G. Camps-Valls}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {2251--2254}, doi = {https://doi.org/10.1109/IGARSS.2017.8127437}, issn = {}, keywords = {clouds;geophysical image processing;land cover;learning (artificial intelligence);remote sensing;statistical analysis;PROBA-V images;PROBA-V products;automatic cloud detection;cloud detection machine learning algorithms;cloud masking;land cover biophysical parameter retrieval;remote sensing applications;satellite scenes;sea;statistical machine learning techniques;Brightness;Clouds;Feature extraction;Machine learning algorithms;Snow;Support vector machines;Training;ML;Proba-V;cloud detection} } @inproceedings{Malmgren17eum, title = {{Temperature Retrieval with Spatial Noise-aware dimensionality reduction}}, author = {D. Malmgren-Hansen and V. Laparra and A.A. Nielsen and X. Calbet and G. Camps-Valls}, year = 2017, month = {2-6 October}, booktitle = {2017 EUMETSAT Meteorological Satellite Conference}, address = {Rome, Italy}, project = {sedal} } @inproceedings{Malmgren17igarss, title = {{Spatial noise-aware temperature retrieval from infrared sounder data}}, author = {D. Malmgren-Hansen and V. Laparra and A. A. Nielsen and G. Camps-Valls}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {17--20}, doi = {https://doi.org/10.1109/IGARSS.2017.8126882}, issn = {}, project = {sedal} } @inproceedings{Martino17eusipcoGMS, title = {{Group Metropolis Sampling}}, author = {Martino, L. and Elvira, V. and Camps-Valls, G.}, year = 2017, month = aug, booktitle = {25th European Signal Processing Conference (EUSIPCO)}, address = {Kos, Greece}, project = {sedal} } @inproceedings{Martino17eusipcoPCV, title = {{Probabilistic Cross-Validation Estimators for Gaussian Process Regression}}, author = {Martino, L. and V., L and Camps-Valls, G.}, year = 2017, month = aug, booktitle = {25th European Signal Processing Conference (EUSIPCO)}, address = {Kos, Greece}, project = {sedal} } @inproceedings{Martino17eusipcoRGS, title = {{Recycling Gibbs Sampling}}, author = {Martino, L. and Elvira, V. and Camps-Valls, G.}, year = 2017, month = aug, booktitle = {25th European Signal Processing Conference (EUSIPCO)}, address = {Kos, Greece}, project = {sedal} } @inproceedings{Martino17igarss, title = {{Automatic emulator and optimized look-up table generation for radiative transfer models}}, author = {L. Martino and J. Vicent and G. Camps-Valls}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {1457--1460}, doi = {https://doi.org/10.1109/IGARSS.2017.8127241}, issn = {}, keywords = {Gaussian processes;atmospheric techniques;geophysical image processing;interpolation;radiative transfer;Automatic Gaussian Process Emulator methodology;acquisition function;interpolation function;optimized look-up table generation;radiative transfer models;Atmospheric modeling;Gaussian processes;Interpolation;Kernel;Optimization;Table lookup;Toy manufacturing industry;Gaussian process;MODTRAN;Radiative transfer model;emulation;interpolation;look-up table;self-learning}, project = {sedal,kermes} } @inproceedings{Martino17scia, title = {{Automatic Emulation by Adaptive Relevance Vector Machines}}, author = {L. Martino and J. Vicent and G. Camps-Valls}, year = 2017, month = {12-14 June}, booktitle = {Scandinavian Conference on Image Analysis (SCIA)}, address = {Troms\o, Norway}, project = {sedal} } @inproceedings{mateo17igarss, title = {{Convolutional neural networks for multispectral image cloud masking}}, author = {G. Mateo-García and L. Gómez-Chova and G. Camps-Valls}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {2255--2258}, doi = {https://doi.org/10.1109/IGARSS.2017.8127438}, issn = {}, keywords = {feature extraction;geophysical image processing;image classification;learning (artificial intelligence);neural nets;remote sensing;Proba-V multispectral images;V;art methods;cloud masking problems;convolutional neural networks;custom feature extraction;different CNN architectures;end-to-end learning;image classification tasks;multispectral image cloud masking;remote sensing problems;Clouds;Feature extraction;Instruments;Remote sensing;Training;Convolutional neural networks;Proba-V;cloud detection;cloud masking;deep learning} } @inproceedings{Morales17igarss, title = {{Efficient remote sensing image classification with Gaussian processes and Fourier features}}, author = {P. Morales and A. Pérez-Suay and R. Molina and G. Camps-Valls}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {2227--2230}, doi = {https://doi.org/10.1109/IGARSS.2017.8127431}, issn = {}, keywords = {Bayes methods;Fourier analysis;Gaussian processes;image classification;learning (artificial intelligence);remote sensing;Fourier frequencies;GPC;Gaussian process classification;Gaussian processes;cloud detection;computational efficiency;kernel functions;multispectral imagery;remote sensing image classification;scale remote sensing data classification;standard random Fourier features approximation;variational Bayes approach;Clouds;Computational efficiency;Computational modeling;Gaussian processes;Kernel;Remote sensing;Standards;Cloud detection;Gaussian Process Classification (GPC);Seviri/MSG;Variational Inference;random Fourier features}, project = {sedal,kermes} } @inproceedings{PabloMorales2017, title = {{Passive millimeter wave image classification with large scale Gaussian processes}}, author = {Pablo Morales, A. and Perez-Suay, A. and Molina, R. and Camps-Valls, G. and Katsaggelos, A. K.}, year = 2017, month = {17-20 September}, booktitle = {2017 IEEE International Conference on Image Processing}, address = {Beijing, China}, project = {sedal} } @inproceedings{PerezSuay17ecmlpkdd, title = {{Fair Kernel Learning}}, author = {Perez-Suay, A. and Laparra, V. and Mateo-Garcia, G. and Munoz-Mari, J. and Gomez-Chova, L. and Camps-Valls, G.}, year = 2017, month = {18-22 September}, booktitle = {European Conference on Machine Learning (ECML)}, address = {Skopje, Macedonia}, project = {sedal,kermes} } @inproceedings{PerezSuay17eum, title = {{Fast Cloud Detection over Landmarks in MSG/SEVIRI Image Time Series}}, author = {A. Perez-Suay and J. Amoros-Lopez and L. Gomez-Chova and V. Laparra and J. Munoz-Mari and D. Just and G. Camps-Valls}, year = 2017, month = {2-6 October}, booktitle = {2017 EUMETSAT Meteorological Satellite Conference}, address = {Rome, Italy}, project = {sedal} } @inproceedings{PerezSuay17igarss, title = {{Causal inference in geosciences with kernel sensitivity maps}}, author = {A. Pérez-Suay and G. Camps-Valls}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {763--766}, doi = {https://doi.org/10.1109/IGARSS.2017.8127064}, issn = {}, project = {sedal,kermes} } @inproceedings{Ruescas17igarss, title = {{Retrieval of coloured dissolved organic matter with machine learning methods}}, author = {A. B. Ruescas and M. Hieronymi and S. Koponen and K. Kallio and G. Camps-Valls}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {2187--2190}, doi = {https://doi.org/10.1109/IGARSS.2017.8127421}, issn = {}, keywords = {Gaussian processes;learning (artificial intelligence);polynomials;regression analysis;remote sensing;CDOM measurements;absorption coefficient;coloured dissolved organic matter;established polynomial regression algorithms;humic substance;machine learning methods;most efficient method;natural waters;organic matter concentration;remote sensing signals;simplest method;standard measure;Ground penetrating radar;Kernel;Lakes;Learning systems;Linear regression;Radio frequency;Sea measurements;Absorbing Waters;CDOM concentrations;Linear Regression;Machine Learning Methods;Remote Sensing}, project = {sedal,kermes}, preprint = {http://isp.uv.es/papers/poster-igarss-ruescas17} } @inproceedings{Svendsen17igarss, title = {{Joint Gaussian processes for inverse modeling}}, author = {D. H. Svendsen and L. Martino and M. Campos-Taberner and G. Camps-Valls}, year = 2017, month = jul, booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = {}, number = {}, pages = {3980--3983}, doi = {https://doi.org/10.1109/IGARSS.2017.8127872}, issn = {}, keywords = {Gaussian processes;inverse problems;radiative transfer;vegetation mapping;LAI retrieval;Landsat data;PROSAIL model;RTM-simulated data;joint Gaussian process;leaf area index;nonparametric statistical inversion model;radiance data;radiative transfer model equations;remote sensing;Biological system modeling;Computational modeling;Data models;Gaussian processes;Inverse problems;Kernel;Remote sensing;Forward;Gaussian process regression;Vegetation monitoring;inverse;kernel methods;modeling}, project = {sedal,kermes} } @inproceedings{Svendsen17raqrs, title = {{Advances in statistical biophysical parameter retrieval}}, author = {Svendsen, D. and Martino, L. and Gomez-Chova, L. and Munoz-Mar{i}, J. and Garcia-Haro, J. and M. Campos-Taberner and Camps-Valls, G.}, year = 2017, month = {18-22 September}, booktitle = {5th International Symposium -- Recent Advances in Quantitative Remote Sensing}, address = {Torrent, Spain}, project = {sedal} } @inproceedings{Tramontana17egu, title = {{Predicting carbon dioxide and energy fluxes with empirical approaches in FLUXNET}}, author = {G. Tramontana and M. Jung and C. R. Schwalm and K. Ichii and G. Camps-Valls and B. Ráduly and M. Reichstein and M. Altaf Arain and A. Cescatti and G. Kiely and L. Merbold and P. Serrano-Ortiz and S. Sickert and S. Wolf and D. Papale}, year = 2017, booktitle = {European Geosciences Union General Assembly 2017}, address = {Vienna, Austria, 23-28 April 2017}, project = {sedal} } @inproceedings{Tuia17earsl, title = {{Is My Method Robust To Acquisition Conditions? An Empirical Manifold alignment Perspective}}, author = {Tuia, D. and Camps-Valls, G.}, year = 2017, booktitle = {10th EARSeL SIG Imaging Spectroscopy Workshop}, address = {19-21 April 2017, University of Zurich (Switzerland)}, project = {sedal} } @inproceedings{Verrelst17artmoearsl, title = {{Automated Spectral Band Selection for Optimized Vegetation Properties Retrieval Using Gaussian Processes Regression}}, author = {Verrelst, J. and Rivera, J.P. and Gitelson, A. and Delegido, J. and Wittenberghe, S. and Moreno, J. and Camps-Valls, G.}, year = 2017, booktitle = {10th EARSeL SIG Imaging Spectroscopy Workshop}, address = {19-21 April 2017, University of Zurich (Switzerland)}, project = {sedal} } @inproceedings{Verrelst17emulaearsl, title = {{Emulation of Radiative Transfer Models: New Opportunities for Spectroscopy Data Processing}}, author = {Verrelst, J. and Sabater, N. and Rivera, J.P. and Munoz-Mari, J. and Vicent, J. and Moreno, J. and Camps-Valls, G.}, year = 2017, booktitle = {10th EARSeL SIG Imaging Spectroscopy Workshop}, address = {19-21 April 2017, University of Zurich (Switzerland)}, project = {sedal} } @inproceedings{Walther17esasif, title = {{An intercomparison of SIF vs EO-based vegetation parameters at global scale: what else can we learn about photosynthesis in the temporal dimension?}}, author = {Walther, S. and Guanter, L. and Duveiller, G. and Cescatti, A. and Jung, M. and Koehler, P. and Camps-Valls, G.}, year = 2017, booktitle = {{ESA} Workshop on Remote Sensing of Fluoroscence, Photosynthesis and Vegetation Status}, address = {17-19 January 2017 at ESA-ESRIN, Frascati, Italy}, project = {sedal} } @inproceedings{balle2016end, title = {{End-to-end optimized image compression}}, author = {Ball{\'e}, Johannes and Laparra, Valero and Simoncelli, Eero P}, year = 2016, booketitle = {ICLR 2017}, arxiv = {1611.01704} } @inproceedings{Balle16b, title = {{End-to-end optimization of nonlinear transform codes for perceptual quality}}, author = {Johannes Ballé and Valero Laparra and Eero P. Simoncelli}, year = 2016, journal = {Picture Coding Symposium}, url = {http://www.kcmweb.de/conferences/pcs2016/}, arxiv = {https://arxiv.org/abs/1607.05006} } @inproceedings{Berardino16, title = {{Perceptual distortion measured with a gain control model of LGN response.}}, author = {Berardino, A. and V. Laparra, and J. Balle and E. P. Simoncelli.}, year = 2016, journal = {Cosyne: Computational and Systems Neuroscience.}, url = {http://www.uv.es/lapeva/papers/2016_Cosyne_Berardino.pdf} } @inproceedings{CampsValls16cms, title = {{Monitoring Vegetation From Space with Gaussian Processes and Latent Force Models}}, author = {Camps-Valls, G.}, year = 2016, month = dec, booktitle = {9th International Conference on Computational and Methodological Statistics, CMStatistics}, address = {Sevilla, Spain}, project = {sedal,kermes} } @inproceedings{Galan16MODVIS, title = {{Derivatives and Inverse of a Linear-Nonlinear Multi-Layer Spatial Vision Model}}, author = {Galan, B. and Martinez-Garcia, M. and Cyriac, P. and Batard, T. and Bertalmio, M. and Malo, J.}, year = 2016, booktitle = {Comput. Neurosci. Commons, Proc. MODVIS}, url = {http://docs.lib.purdue.edu/modvis/2016/session05/3/} } @inproceedings{Luengo16mlsp, title = {{Latent Force Models for Earth Observation Time Series Prediction}}, author = {Luengo-Garcia, D. and Campos-Taberner, M. and Camps-Valls, G.}, year = 2016, month = sep, booktitle = {2016 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016)}, address = {Salerno, Italy}, url = {http://mlsp2016.conwiz.dk/home.htm}, project = {sedal} } @inproceedings{Malo16ECVPa, title = {{Image Processing and Visual Neuroscience: a positive feedback story}}, author = {Malo, J.}, year = 2016, booktitle = {Proc. European Conference on Visual Percerption (ECVP)}, url = {http://www.ub.edu/ecvp/} } @inproceedings{Malo16ECVPb, title = {{ Detecting Diplopia through Eye Movements: A Machine Learning Approach}}, author = {Galán, B. and Martínez-García,M. and Sanchis-Jurado, V. and Pujol, J. and Malo, J.}, year = 2016, booktitle = {Proc. European Conference on Visual Percerption (ECVP)}, url = {http://www.ub.edu/ecvp/} } @inproceedings{Malo16VSS, title = {{The maximum differentiation competition depends on the Viewing conditions}}, author = {Malo, J. and Kane, D. and Bertalmio, M.}, year = 2016, url = {http://www.visionsciences.org/}, organization = {Vis. Sci. Soc. Meeting (VSS)} } @inproceedings{Marina16ECVP, title = {{Image Reconstruction from Neural Responses: what can we learn from the analytic inverse?}}, author = {Martinez-Garcia, M. and Galan, B. and Malo, J.}, year = 2016, booktitle = {Proc. European Conference on Visual Percerption (ECVP)}, url = {http://www.ub.edu/ecvp/} } @inproceedings{Marina16MODVIS, title = {{Towards a functional explanation of the connectivity LGN-V1}}, author = {Martinez-Garcia, M. and Galan, B. and Martinez-Oter, L. and Malo, J.}, year = 2016, booktitle = {Comput. Neurosci. Commons, Proc. MODVIS}, url = {http://docs.lib.purdue.edu/modvis/2016/session05/2/} } @inproceedings{Martino16SSPa, title = {{Alternative Effective Sample Size measures for Importance Sampling}}, author = {L. Martino,V. Elvira, F. Louzada}, year = 2016, booktitle = {{Proc. IEEE Statistical Signal Processing Workshop (SSP)}}, url = {http://ssp2016.tsc.uc3m.es/} } @inproceedings{Martino16SSPb, title = {{Weighting a Resampled Particle in Sequential Monte Carlo}}, author = {L. Martino,V. Elvira, F. Louzada}, year = 2016, booktitle = {{Proc. IEEE Statistical Signal Processing Workshop (SSP)}}, url = {http://ssp2016.tsc.uc3m.es/} } @inproceedings{MartinoISBA, title = {{Group Importance Sampling}}, author = {L. Martino,V. Elvira, F. Louzada}, year = 2016, booktitle = {{ISBA 2016 World Meeting, Sardinia, Italy}}, url = {http://www.corsiecongressi.com/isba2016/} } @inbook{Mateo2016, title = {{Learning Structures in Earth Observation Data with Gaussian Processes}}, author = {Mateo, Fernando and Munoz-Mari, Jordi and Laparra, Valero and Verrelst, Jochem and Camps-Valls, Gustau}, year = 2016, booktitle = {Advanced Analysis and Learning on Temporal Data: First ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised Selected Papers}, publisher = {Springer International Publishing}, address = {Cham}, pages = {78--94}, doi = {http://dx.doi.org/10.1007/978-3-319-44412-3_6}, isbn = {978-3-319-44412-3}, editor = {Douzal-Chouakria, Ahlame and Vilar, Jose A. and Marteau, Pierre-François}, project = {sedal,kermes} } @inproceedings{reichstein16, title = {{Potential of new machine learning methods for understanding long-term interannual variability of carbon and energy fluxes and states from site to global scale}}, author = {M. Reichstein and M. Jung and P. Bodesheim and M. Mahecha and F. Gans and E. Rodner and G. Camps-Valls and D. Papaple and G. Tramontana and J. Denzler and D. Baldocchi}, year = 2016, booktitle = {AGU Fall Meeting}, url = {https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/133025}, project = {sedal} } @inproceedings{Ruescas16CLEO, title = {{Sentinel-2 Atmospheric Correction Intercomparison over two lakes in Spain and Peru-Bolivia}}, author = {Ruescas, A.B., Pereira-Sandoval, M., Tenjo, C., Ruiz-verdu, A., Steinmetz, F., De Keukelaere, L.}, year = 2016, booktitle = {{Color and Light in tthe Ocean from EO (CLEO)}}, preprint = {http://isp.uv.es/papers/Ruescas16CLEO.pdf} } @inproceedings{Walther2016, title = {{Space-borne Chlorophyll Fluorescence, Greenness, Vegetation Models and Interannual Variability of Photosynthetic Activity: Spatio-temporal Patterns, Mechanisms, and Environmental Sensitivities}}, author = {S. Walther and L. Guanter and M. Jung and C. Frankenberg and Y. Sun and M. Forkel and Y. Zhang and G. Duvellier and A. Cescatti and G. Camps-Valls and P. Köhler}, year = 2016, booktitle = {AGU Fall Meeting}, url = {https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/179882}, project = {sedal} } @inproceedings{7325686, title = {{Large-scale random features for kernel regression}}, author = {Laparra, V. and Gonzalez, D.M. and Tuia, D. and Camps-Valls, G.}, year = 2015, month = jul, booktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International}, pages = {17--20}, doi = {http://dx.doi.org/10.1109/IGARSS.2015.7325686}, url = {http://www.igarss2015.org/}, keywords = {geophysics computing;learning (artificial intelligence);operating system kernels;random processes;regression analysis;remote sensing;Fourier domain;PROSAIL radiative transfer models;Walsh expansions;atmospheric parameter retrieval;biogeophysical parameters;biophysical parameter retrieval;geosciences;high computational cost;infrared sounders;kernel matrix;kernel regression analysis;kernel regression methods;large scale problems;large-scale random features;machine learning algorithms;radiative transfer model inversion;random bases;random kitchen sink method;remote sensing;simulated Sentinel- 2 data;statistical retrieval;Accuracy;Approximation methods;Atmospheric modeling;Biological system modeling;Computational modeling;Kernel;Remote sensing}, project = {sedal,kermes} } @inproceedings{7325843, title = {{Replacing radiative transfer models by surrogate approximations through machine learning}}, author = {Verrelst, J. and Rivera, J.P. and Gomez-Dans, J. and Camps-Valls, G. and Moreno, J.}, year = 2015, month = jul, booktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International}, pages = {633--636}, doi = {http://dx.doi.org/10.1109/IGARSS.2015.7325843}, url = {http://www.igarss2015.org/}, keywords = {geophysical techniques;learning (artificial intelligence);radiative transfer;Earth surface;Emulator toolbox;computational efficiency;data-driven machine learning algorithms;multioutput machine learning regression algorithms;physically-based radiative transfer models;statistical models;sun-induced fluorescence;surrogate approximations;Accuracy;Approximation methods;Biological system modeling;Computational modeling;Fluorescence;Table lookup;Training;ARTMO;Emulator;FLEX;Fluorescence;multi-output regression algorithms} } @inproceedings{7325936, title = {{Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction}}, author = {Blix, K. and Camps-Valls, G. and Jenssen, R.}, year = 2015, month = jul, booktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International}, pages = {996--999}, doi = {http://dx.doi.org/10.1109/IGARSS.2015.7325936}, url = {http://www.igarss2015.org/}, project = {sedal}, keywords = {Gaussian distribution;ocean composition;oceanographic techniques;regression analysis;remote sensing;GPR ocean chlorophyll content;Gaussian processes regression;SA ocean chlorophyll content;case-1 water condition;case-2 water condition;chlorophyll content mapping;machine learning;nonlinear kernel regression method;oceanic chlorophyll prediction;probabilistic approach;regression process;remotely sensed data;sensitivity analysis;spec- tral bands;Biological system modeling;Gaussian processes;Ground penetrating radar;Oceans;Remote sensing;Sensitivity analysis;Gaussian Process Regression (GPR);Kernel methods;Oceanic Chlorophyll Prediction;Sensitivity Analysis (SA)} } @inproceedings{7326341, title = {{Weakly supervised alignment of multisensor images}}, author = {Gonzalez, D.M. and Camps-Valls, G. and Tuia, D.}, year = 2015, month = jul, booktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International}, pages = {2588--2591}, doi = {http://dx.doi.org/10.1109/IGARSS.2015.7326341}, url = {http://www.igarss2015.org/}, keywords = {geophysical image processing;geophysical techniques;Gaussian radial basis function;WorldView 2 image;geographic image correspondences;image-specific ground truth;manifold alignment;multisensor images supervised alignment;Manifolds;Predictive models;Remote sensing;Semantics;Sensors;Support vector machines;Training} } @inproceedings{7326744, title = {{Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination}}, author = {Campos-Taberner, M. and Romero, A. and Gatta, C. and Camps-Valls, G.}, year = 2015, month = jul, booktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International}, pages = {4169--4172}, doi = {http://dx.doi.org/10.1109/IGARSS.2015.7326744}, url = {http://www.igarss2015.org/}, keywords = {data visualisation;feature extraction;neural nets;optical images;optical radar;pattern clustering;remote sensing by laser beam;remote sensing by radar;clustering data visualization;colored edge filters;derived basis functions;discriminative power;high resolution LiDAR image;joint feature representations;lifetime sparsity score;optical image;population sparsity score;shared feature representations;topological data visualization;unsupervised convolutional neural network;unsupervised spatial-spectral feature extraction;Feature extraction;Image color analysis;Joints;Laser radar;Semantics;Sociology;Statistics} } @inproceedings{7326806, title = {{Ranking drivers of global carbon and energy fluxes over land}}, author = {Camps-Valls, G. and Jung, M. and Ichii, K. and Papale, D. and Tramontana, G. and Bodesheim, P. and Schwalm, C. and Zscheischler, J. and Mahecha, M. and Reichstein, M.}, year = 2015, month = jul, booktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International}, pages = {4416--4419}, doi = {http://dx.doi.org/10.1109/IGARSS.2015.7326806}, url = {http://www.igarss2015.org/}, project = {sedal}, keywords = {climatology;land surface temperature;remote sensing;vegetation;vegetation mapping;GPP;GPR;Gaussian process regression;anisotropic covariance function;carbon flux;energy flux;global climate change;gross primary production;heat flux;kernel ridge regression;land;land surface temperature;multivariate linear regression;remote sensing;sensitivity maps;vegetation indices;Analytical models;Carbon;Gaussian processes;Ground penetrating radar;Kernel;Land surface temperature;Vegetation mapping;GPP;Gaussian process;carbon;energy;feature ranking;global monitoring;regression} } @inproceedings{CampsTaberner15igarss, title = {{Development of an Earth Observation processing chain for crop biophysical parameters at local scale}}, author = {M. Campos-Taberner, F.J. García-Haro, A. Moreno, M.A. Gilabert, B. Martínez, S. Sánchez-Ruiz, G. Camps-Valls}, year = 2015, month = jul, booktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International}, pages = {17--20}, doi = {http://dx.doi.org/10.1109/IGARSS.2015.7325686}, url = {http://www.igarss2015.org/}, project = {sedal,ermes}, keywords = {geophysics computing;learning (artificial intelligence);operating system kernels;random processes;regression analysis;remote sensing;Fourier domain;PROSAIL radiative transfer models;Walsh expansions;atmospheric parameter retrieval;biogeophysical parameters;biophysical parameter retrieval;geosciences;high computational cost;infrared sounders;kernel matrix;kernel regression analysis;kernel regression methods;large scale problems;large-scale random features;machine learning algorithms;radiative transfer model inversion;random bases;random kitchen sink method;remote sensing;simulated Sentinel- 2 data;statistical retrieval;Accuracy;Approximation methods;Atmospheric modeling;Biological system modeling;Computational modeling;Kernel;Remote sensing} } @inproceedings{Gomez15igarss, title = {{Operational cloud detection in Sentinel-2 image time series}}, author = {Luis Gomez-Chova, Julia Amoros-Lopez, Antonio Ruiz-Verdu, Jordi Munoz-Marí, and Gustau Camps-Valls}, year = 2015, month = jul, booktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International}, pages = {17--20}, doi = {http://dx.doi.org/10.1109/IGARSS.2015.7325686}, url = {http://www.igarss2015.org/}, keywords = {geophysics computing;learning (artificial intelligence);operating system kernels;random processes;regression analysis;remote sensing;Fourier domain;PROSAIL radiative transfer models;Walsh expansions;atmospheric parameter retrieval;biogeophysical parameters;biophysical parameter retrieval;geosciences;high computational cost;infrared sounders;kernel matrix;kernel regression analysis;kernel regression methods;large scale problems;large-scale random features;machine learning algorithms;radiative transfer model inversion;random bases;random kitchen sink method;remote sensing;simulated Sentinel- 2 data;statistical retrieval;Accuracy;Approximation methods;Atmospheric modeling;Biological system modeling;Computational modeling;Kernel;Remote sensing} } @inproceedings{LaparrcrS15, title = {{Spatial/spectral information trade-off in hyperspectral images}}, author = {Valero Laparra and Raúl Santos-Rodríguez}, year = 2015, booktitle = {2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015, Milan, Italy, July 26-31, 2015}, publisher = {IEEE}, pages = {1124--1127}, doi = {http://dx.doi.org/10.1109/IGARSS.2015.7325968}, isbn = {978-1-4799-7929-5}, url = {http://www.igarss2015.org/}, researchr = {http://researchr.org/publication/LaparrcrS15} } @inproceedings{Longbotham:15, title = {{Measuring the Spatial and Spectral Performance of WorldView-3}}, author = {Nathan W. Longbotham and Fabio Pacifici and Seth Malitz and William Baugh and Gustau Camps-Valls}, year = 2015, journal = {Fourier Transform Spectroscopy and Hyperspectral Imaging and Sounding of the Environment}, booktitle = {Fourier Transform Spectroscopy and Hyperspectral Imaging and Sounding of the Environment}, publisher = {Optical Society of America}, pages = {HW3B.2}, doi = {http://dx.doi.org/10.1364/HISE.2015.HW3B.2}, url = {http://www.osapublishing.org/abstract.cfm?URI=HISE-2015-HW3B.2}, abstract = {The new WorldView-3 satellite provides a unique combination of very high spatial resolution and super-spectral capabilities. This presentation explores the practical and theoretical usefulness of this platform as compared against other hyperspectral and multispectral sensors.}, keywords = {Remote sensing and sensors ; Optical sensing and sensors ; Passive remote sensing} } @inproceedings{Malo15, title = {{Geometrical and statistical properties of vision models obtained via maximum differentiation}}, author = {Malo, J. and Simoncelli, E.}, year = 2015, booktitle = {SPIE Electronic Imaging}, pages = {93940L--93940L}, url = {https://spie.org/publications/journals/journal-of-electronic-imaging}, organization = {International Society for Optics and Photonics} } @inproceedings{Munoz15igarss, title = {{Biophysical parameter retrieval with warped Gaussian processes}}, author = {Jordi Munoz-Marí, Jochem Verrelst, Miguel Lazaro-Gredilla and Gustau Camps-Valls}, year = 2015, month = jul, booktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International}, pages = {17--20}, doi = {http://dx.doi.org/10.1109/IGARSS.2015.7325686}, url = {http://www.igarss2015.org/}, keywords = {geophysics computing;learning (artificial intelligence);operating system kernels;random processes;regression analysis;remote sensing;Fourier domain;PROSAIL radiative transfer models;Walsh expansions;atmospheric parameter retrieval;biogeophysical parameters;biophysical parameter retrieval;geosciences;high computational cost;infrared sounders;kernel matrix;kernel regression analysis;kernel regression methods;large scale problems;large-scale random features;machine learning algorithms;radiative transfer model inversion;random bases;random kitchen sink method;remote sensing;simulated Sentinel- 2 data;statistical retrieval;Accuracy;Approximation methods;Atmospheric modeling;Biological system modeling;Computational modeling;Kernel;Remote sensing} } @inproceedings{Verrelst15earsl, title = {{Advanced dimensionality reduction and active learning for imaging spectroscopy statistical retrieval}}, author = {J. Verrelst, J.P. Rivera, S. Dethier, J. Muñoz, G. Camps-Valls, J. Moreno}, year = 2015, month = jul, booktitle = {9th EARSeL SIG Imaging Spectroscopy workshop}, address = {14-16 April 2015, Trier University, Germany}, doi = {http://dx.doi.org/}, url = {http://www.earsel2015.com/} } @inproceedings{alcsm14, title = {{Lossless coding of hyperspectral images with Principal Polynomial Analysis}}, author = {Naoufal Amrani and Valero Laparra and Gustavo Camps-Valls and Joan Serra-Sagristà and Jesus Malo}, year = 2014, month = oct, booktitle = {IEEE International Conference on Image Processing, ICIP14}, url = {https://www.google.es/?gfe_rd=cr&ei=EOcyWPrbGIvY8gfZjaXoDw#q=IEEE+International+Conference+on+Image+Processing%2C+ICIP14} } @inproceedings{Amrani20144023, title = {{Lossless coding of hyperspectral images with principal polynomial analysis}}, author = {Amrani, N. and Laparra, V. and Camps-Valls, G. and Serra-Sagrista, J. and Malo, J.}, year = 2014, journal = {2014 IEEE International Conference on Image Processing, ICIP 2014}, pages = {4023--4026}, doi = {http://dx.doi.org/10.1109/ICIP.2014.7025817}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84949928772&partnerID=40&md5=ae2a9a141073e8d69b39f4b36a1b57aa}, note = {0}, art_number = 7025817, document_type = {Conference Paper} } @inproceedings{c14, title = {{A family of kernel anomaly change detectors}}, author = {Nathan Longbotham G. Camps-Valls}, year = 2014, month = jun, journal = {IEEE Workshop on Hyperspectral Image and Signal Processing, Whispers}, address = {Lausanne, Switzerland}, url = {http://www.magellium.com/blog/whisper-2014-6th-workshop-on-hyperspectral-image-and-signal-processing-evolution-in-remote-sensing-2/} } @inproceedings{cgccgmmsm14, title = {{Prototyping of physically based methods to retrieve leaf area index and canopy water content from satellite data}}, author = {M. Campos-Taberner and F. J. García-Haro and F. Camacho and G. Camps-Valls and M. A. Gilabert and B. Martínez and A. Moreno and S. Sánchez and J. Meliá}, year = 2014, journal = {Recent Advantages in Quantitative Remote Sensing, RAQRS}, address = {Torrent, València}, url = {http://ipl.uv.es/raqrs4/} } @inproceedings{clmgcha14, title = {{Advances in Non-linear Retrievals for IASI and MTG-IRS Hyperspectral Infrared Sounders}}, author = {G. Camps and Valero Laparra and Jordi Muñoz and Luis Gómez and Xavier Calbet and Tim Hultberg and Thomas August}, year = 2014, month = sep, booktitle = {EUMETSAT Meteorological Satellite Conference}, address = {Geneva, Switzerland}, pages = {22--26}, url = {http://www.eumetsat.int/website/home/News/ConferencesandEvents/DAT_2076129.html} } @inproceedings{garimc14, title = {{Sentinel-2 image time series: Cloud detection in the Cloud}}, author = {L. Gómez-Chova and J. Amorós-López and A. Ruiz-Verdú and E. Izquierdo and J. Muñoz-Marí and G. Camps-Valls}, year = 2014, month = may, booktitle = {SENTINEL-for Science Workshop 2014}, address = {ESA-ESRIN, Frascati, Italy, on the 20th, 21st and 22nd}, volume = 2, url = {http://seom.esa.int/S2forScience2014/} } @inproceedings{gblcs14, title = {{Impact of near-lossless compression of IASI L1C data on statistical retrieval of atmospheric profiles}}, author = {Joaquin Garcia-Sobrino and Ian Blanes and Valero Laparra and Gustau Camps-Valls and Joan Serra-Sagristà}, year = 2014, month = oct, address = {4th International Workshop on On-Board Payload Data Compression (OBPDC)}, url = {http://esaconferencebureau.com/2014-events/14c13/introduction} } @inproceedings{Gomez-Chova2014, title = {{Cloud masking of multitemporal remote sensing images}}, author = {Gómez-Chova, L. and Amorós-López, J. and Muñoz-Marí, J. and Camps-Valls, G.}, year = 2014, journal = {Proceedings of SPIE - The International Society for Optical Engineering}, volume = 9244, doi = {http://dx.doi.org/10.1117/12.2067193}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84923064100&partnerID=40&md5=38a1b04cdda35378b58b817f40aaaf4d}, note = {0}, art_number = 924411, document_type = {Conference Paper} } @inproceedings{Jacobs20142953, title = {{Spectral adaptation of hyperspectral flight lines using VHR contextual information}}, author = {Jacobs, J.P. and Thoonen, G. and Tuia, D. and Camps-Valls, G. and Kempeneers, P. and Scheunders, P.}, year = 2014, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, pages = {2953--2956}, doi = {http://dx.doi.org/10.1109/IGARSS.2014.6947096}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84911413893&partnerID=40&md5=0c188c8b56e3476eb5bb10b9463a8edb}, note = {0}, art_number = 6947096, document_type = {Conference Paper} } @inproceedings{jicptssr14, title = {{An ensemble of global high-resolution products of energy fluxes over land}}, author = {Martin Jung and Kazuhito Ichii and G. Camps-Valls and Dario Papale and Gianluca Tramontana and Sven Sickert and Christopher Schwalm and Markus Reichstein}, year = 2014, month = jul, booktitle = {7th International Scientific Conference on the Global Water and Energy Cycle, GEWEX 2014}, address = {The Hague, the Netherlands}, pages = {14--17}, url = {http://www.gewex.org/gewex-content/files_mf/1432213682Aug2014.pdf} } @inproceedings{lmc14, title = {{Dimensionality Reduction via Regression on Hyperspectral Infrared Sounding Data}}, author = {Valero Laparra and Jesús Malo and G. Camps-Valls}, year = 2014, month = jun, journal = {IEEE Workshop on Hyperspectral Image and Signal Processing, Whispers}, address = {2014, Lausanne, Switzerland}, url = {http://www.magellium.com/blog/whisper-2014-6th-workshop-on-hyperspectral-image-and-signal-processing-evolution-in-remote-sensing-2/} } @inproceedings{lpbc14, title = {{Pre-launch assessment of Worldview-3 information content}}, author = {N. Longbotham and F. Pacifici and B. Baugh and G. CampsValls}, year = 2014, month = jun, journal = {IEEE Workshop on Hyperspectral Image and Signal Processing, Whispers}, address = {Lausanne, Switzerland}, pages = {24--27}, url = {http://www.magellium.com/blog/whisper-2014-6th-workshop-on-hyperspectral-image-and-signal-processing-evolution-in-remote-sensing-2/} } @inproceedings{mscum14, title = {{Prediction of black carbon concentration in an urban site via advanced regression}}, author = {C. Marcos and S. Segura and G. Camps-Valls and P. Utrillas and A. Martínez-Lozano}, year = 2014, month = jul, booktitle = {Iberian Meeting on Aerosol Science and Technology, RICTA}, address = {Tarragona, Catalunya, Spain}, pages = {7--9}, url = {http://wwwa.fundacio.urv.cat/congressos/ricta} } @inproceedings{rcc14, title = {{Unsupervised Deep Feature Extraction of Hyperspectral Images}}, author = {Adriana Romero and Carlo Gatta, and G. Camps-Valls}, year = 2014, month = jun, journal = {IEEE Workshop on Hyperspectral Image and Signal Processing, Whispers}, address = {Lausanne, Switzerland} } @inproceedings{tjibcsrp14, title = {{FLUXCOM, towards an ensemble of improved global data-driven products: cross-validation at site level and global scale}}, author = {Gianluca Tramontana and Martin Jung and Kazuhito Ichii and Anthony Bloom and Gustau Camps-Valls and Christopher Schwalm and Markus Reichstein and Dario Papale}, year = 2014, month = sep, booktitle = {Global change research symposium - Human and Ecosystem Response to Global Change: Evidence and Application}, address = {Ostuni, Brindisi - Italy}, volume = 2014, pages = {16--18} } @inproceedings{Tuia2014912, title = {{Unsupervised alignment of image manifolds with centrality measures}}, author = {Tuia, D. and Volpi, M. and Camps-Valls, G.}, year = 2014, journal = {Proceedings - International Conference on Pattern Recognition}, pages = {912--917}, doi = {http://dx.doi.org/10.1109/ICPR.2014.167}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84919897481&partnerID=40&md5=0d2c8a6c90f60bc063d4e8f43cf1cee4}, note = 1, art_number = 6976877, document_type = {Conference Paper} } @inproceedings{vrmacm14, title = {{Advanced retrieval methods for leaf chlorophyll content in support of global mapping of vegetation fluorescence}}, author = {Jochem Verrelst and Juan Pablo Rivera and Jordi Muñoz and Luis Alonso and G. Camps-Valls and Jose Moreno}, year = 2014, month = feb, booktitle = {GVM (Global Vegetation Monitoring and Modelling)}, address = {Avignon, France}, volume = 2, pages = {3--7} } @inproceedings{Amoros-Lopez2013, title = {{A kernel regression approach to cloud and shadow detection in multitemporal images}}, author = {Amorós-López, J. and Izquierdo-Verdiguier, E. and Gómez-Chova, L. and Muñoz-Marí, J. and Camps-Valls, G.}, year = 2013, journal = {MultiTemp 2013 - 7th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images: "Our Dynamic Environment", Proceedings}, doi = {http://dx.doi.org/10.1109/Multi-Temp.2013.6866014}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84906902875&partnerID=40&md5=6cc10f1d4621c92e144800f804a28374}, note = {0}, art_number = 6866014, document_type = {Conference Paper} } @inproceedings{Gomez-Chova20132974, title = {{Kernel change discriminant analysis for multitemporal cloud masking}}, author = {Gómez-Chova, L. and Izquierdo-Verdiguier, E. and Amorós-López, J. and Muñoz-Marí, J. and Camps-Valls, G.}, year = 2013, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, pages = {2974--2977}, doi = {http://dx.doi.org/10.1109/IGARSS.2013.6723450}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84894281930&partnerID=40&md5=357f4137d261a9a3527d45a6ca15c035}, note = 1, art_number = 6723450, document_type = {Conference Paper} } @inproceedings{Gomez-Chova20134391, title = {{Advances in synergy of AATSR-MERIS sensors for cloud detection}}, author = {Gomez-Chova, L. and Munoz-Mari, J. and Amoros-Lopez, J. and Izquierdo-Verdiguier, E. and Camps-Valls, G.}, year = 2013, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, pages = {4391--4394}, doi = {http://dx.doi.org/10.1109/IGARSS.2013.6723808}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84894285290&partnerID=40&md5=1bb1192be5456fd618af98b5342ff4b9}, note = 1, art_number = 6723808, document_type = {Conference Paper} } @inproceedings{guanter2013mapping, title = {{Mapping cropland GPP in the north temperate region with space measurements of chlorophyll fluorescence}}, author = {Guanter, L and Zhang, Y and Jung, M and Joiner, J and Voigt, M and Huete, AR and Zarco-Tejada, P and Frankenberg, C and Lee, J and Berry, JA and others}, year = 2013, booktitle = {AGU Fall Meeting Abstracts}, volume = 1, pages = {0383} } @inproceedings{Jacobs20133112, title = {{Domain adaptation with Hidden Markov Random Fields}}, author = {Jacobs, J.-P. and Thoonen, G. and Tuia, D. and Camps-Valls, G. and Haest, B. and Scheunders, P.}, year = 2013, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, pages = {3112--3115}, doi = {http://dx.doi.org/10.1109/IGARSS.2013.6723485}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84894278289&partnerID=40&md5=67ce66bd5aa3929c94dfb98dda33cc3f}, note = 1, art_number = 6723485, document_type = {Conference Paper} } @inproceedings{JOL2013, title = {{Chromatic induction and contrast masking: similar models, different goals?}}, author = {Sandra Jimenez and Xavier Otazu and Valero Laparra and Jesus Malo}, year = 2013, booktitle = {Proceedings of SPIE, the International Society for Optical Engineering} } @inproceedings{JOL2013b, title = {{Visual discrimination and adaptation using non-linear unsupervised learning}}, author = {Sandra Jimenez and Valero Laparra and Jesus Malo}, year = 2013, booktitle = {Proceedings of SPIE, the International Society for Optical Engineering} } @inproceedings{Lazaro-Gredilla20133010, title = {{Estimation of vegetation chlorophyll content with Variational Heteroscedastic Gaussian Processes}}, author = {Lazaro-Gredilla, M. and Titsias, M.K. and Verrelst, J. and Camps-Valls, G.}, year = 2013, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, pages = {3010--3013}, doi = {http://dx.doi.org/10.1109/IGARSS.2013.6723459}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84894232867&partnerID=40&md5=40316d39d0ba9d2fa9defcb9d03c7561}, note = {0}, art_number = 6723459, document_type = {Conference Paper} } @inproceedings{Munoz-Mari2013, title = {{Multiset Kernel CCA for multitemporal image classification}}, author = {Muñoz-Marí, J. and Gómez-Chova, L. and Amorós, J. and Izquierdo, E. and Camps-Valls, G.}, year = 2013, journal = {MultiTemp 2013 - 7th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images: "Our Dynamic Environment", Proceedings}, doi = {http://dx.doi.org/10.1109/Multi-Temp.2013.6866020}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84906898026&partnerID=40&md5=dca254c0bb24ff337895cefe33f5aba1}, note = {0}, art_number = 6866020, document_type = {Conference Paper} } @inproceedings{Talens20131214, title = {{Kernel Structural SIMIlarity on hyperspectral images}}, author = {Talens, V. and Laparra, V. and Malo, J. and Camps-Valls, G.}, year = 2013, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, pages = {1214--1217}, doi = {http://dx.doi.org/10.1109/IGARSS.2013.6722998}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84894248181&partnerID=40&md5=dcd8cadb5ea79a794db78ff80fbc53d0}, note = 1, art_number = 6722998, document_type = {Conference Paper} } @inproceedings{Verrelst13earsl, title = {{Recent advances in biophysical parameter retrieval methods – opportunities for Sentinel-2}}, author = {J. Verrelst, J.P. Rivera, G. Camps-Valls, and J. Moreno}, year = 2013, booktitle = {ESA Living Planet Symposium 2013, 09-13 September, Edinbrugh, UK} } @inproceedings{Verrelst13earsl2, title = {{ARTMO's new Machine Learning Regression Algorithm (MLRA) module for semiautomatic mapping of biophysical parameters}}, author = {Jochem Verrelst, Juan Pablo Rivera, Jordi Muñoz, Luis Alonso, G. Camps-Valls, Jose Moreno}, year = 2013, booktitle = {EARSeL 8th SIG-Imaging Spectroscopy Workshop 2013, 08-10 April, Nantes, France} } @inproceedings{Volpi20131944, title = {{Multi-sensor change detection based on nonlinear canonical correlations}}, author = {Volpi, M. and De Morsier, F. and Camps-Valls, G. and Kanevski, M. and Tuia, D.}, year = 2013, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, pages = {1944--1947}, doi = {http://dx.doi.org/10.1109/IGARSS.2013.6723187}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84894231213&partnerID=40&md5=bce6a6f614635ecb961384f037da7eb2}, note = 1, art_number = 6723187, document_type = {Conference Paper} } @inproceedings{Gomez-Chova2012, title = {{Learning with the kernel signal to noise ratio}}, author = {Gomez-Chova, L. and Camps-Valls, G.}, year = 2012, journal = {IEEE International Workshop on Machine Learning for Signal Processing, MLSP}, doi = {http://dx.doi.org/10.1109/MLSP.2012.6349715}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84870658481&partnerID=40&md5=702f25c382d3d87f1d5c9b3509995474}, note = {0}, art_number = 6349715, document_type = {Conference Paper} } @inproceedings{GomezChova2012mikonos, title = {{Cloud screening from multispectral image time series}}, author = {Gomez-Chova, L. and Amoros-Lopez, J. and Izquierdo-Verdiguier, E. and Jimenez-Munoz, J.C. and Camps-Valls, G.}, year = 2012, booktitle = {EARSel Society}, address = {Mykonos, Greece, May 2012}, doi = {http://dx.doi.org/} } @inproceedings{Izquierdo-Verdiguier2012, title = {{Semisupervised kernel orthonormalized partial least squares}}, author = {Izquierdo-Verdiguier, E. and Arenas-García, J. and Muñoz-Romero, S. and Gómez-Chova, L. and Camps-Valls, G.}, year = 2012, journal = {IEEE International Workshop on Machine Learning for Signal Processing, MLSP}, doi = {http://dx.doi.org/10.1109/MLSP.2012.6349718}, url = 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journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, pages = {7353--7356}, doi = {http://dx.doi.org/10.1109/IGARSS.2012.6351931}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84873204379&partnerID=40&md5=44ba53ad33720f01d9276610c0169c35}, note = {0}, art_number = 6351931, document_type = {Conference Paper} } @inproceedings{Laparra2012, title = {{Nonlinear data description with Principal Polynomial Analysis}}, author = {Laparra, V. and Tuia, D. and Jimenez, S. and Camps-Valls, G. and Malo, J.}, year = 2012, journal = {IEEE International Workshop on Machine Learning for Signal Processing, MLSP}, doi = {http://dx.doi.org/10.1109/MLSP.2012.6349786}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84870708190&partnerID=40&md5=550361e2455a3174df7f4de5547c2955}, note = {0}, art_number = 6349786, document_type = {Conference Paper} } @inproceedings{6005053, title = {{Multitemporal fusion of Landsat and MERIS images}}, author = {Amoros-Lopez, J. and Gómez-Chova, L. and Guanter, L. and Alonso, L. and Moreno, J. and Camps-Valls, G.}, year = 2011, month = jul, booktitle = {Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), 2011 6th International Workshop on the}, pages = {81--84}, doi = {http://dx.doi.org/10.1109/Multi-Temp.2011.6005053}, keywords = {AD 2004;Albacete;ENVISAT sensor;Earth dynamics;Landsat TM sensor;Landsat multitemporal fusion;MERIS image multitemporal fusion;MERIS sensor;NDVI;Spain;agricultural monitoring method;cloud cover probability;coarser spatial resolution;environmental change analysis;high spatial resolution sensors;image time series;land cover change;land use change;remote sensing community;temporal image series;temporal resolution;vegetation dynamics monitoring;agriculture;geophysical image processing;image fusion;image resolution;image sensors;terrain mapping;time series;vegetation mapping;} } @inproceedings{6050035, title = {{Kernel entropy component analysis in remote sensing data clustering}}, author = {Gómez-Chova, Luis and Jenssen, Robert and Camps-Valls, Gustavo}, year = 2011, month = jul, booktitle = {Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International}, pages = {3728--3731}, doi = {http://dx.doi.org/10.1109/IGARSS.2011.6050035}, issn = {2153-6996} } @inproceedings{Camps-Valls2011, title = {{Support vector machines in remote sensing: The tricks of the trade}}, author = {Camps-Valls, G.}, year = 2011, journal = {Proceedings of SPIE - The International Society for Optical Engineering}, volume = 8180, doi = {http://dx.doi.org/10.1117/12.903949}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-81755167010&partnerID=40&md5=104e2ae4e4dedba3f5ccbf49e35b55c2}, note = {0}, art_number = {81800B}, document_type = {Conference Paper} } @inproceedings{Camps-Valls20112813, title = {{Kernel-based retrieval of atmospheric profiles from IASI data}}, author = {Camps-Valls, G. and Laparra, V. and Muñoz-Marí, J. and Gómez-Chova, L. and Calbet, X.}, year = 2011, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, pages = {2813--2816}, doi = {http://dx.doi.org/10.1109/IGARSS.2011.6049799}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-80955159843&partnerID=40&md5=4dfc79fc8b30388ca0d9ce9a1425cfb6}, note = 2, art_number = 6049799, document_type = {Conference Paper} } @inproceedings{Gomez-Chova20113570, title = {{Explicit signal to noise ratio in reproducing kernel Hilbert spaces}}, author = {Gómez-Chova, L. and Nielsen, A.A. and Camps-Valls, G.}, year = 2011, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, pages = {3570--3573}, doi = {http://dx.doi.org/10.1109/IGARSS.2011.6049993}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-80955159602&partnerID=40&md5=d3300dbb188f6740765b5cbf466590f1}, note = 3, art_number = 6049993, document_type = {Conference Paper} } @incollection{Laparra11complex, title = {{Complex-Valued Independent Component Analysis of Natural Images}}, author = {Laparra, Valero and Gutmann, MichaelU. and Malo, Jesús and Hyvärinen, Aapo}, year = 2011, booktitle = {Artificial Neural Networks and Machine Learning – ICANN 2011}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, volume = 6792, pages = {213--220}, doi = {10.1007/978-3-642-21738-8_28}, isbn = {978-3-642-21737-1}, url = {http://dx.doi.org/10.1007/978-3-642-21738-8_28}, editor = {Honkela, Timo and Duch, Włodzisław and Girolami, Mark and Kaski, Samuel}, keywords = {Complex Independent Components Analysis; Natural Image Statistics; Modeling Fourier phase distribution} } @inproceedings{Laparra20114180, title = {{Principal polynomial analysis for remote sensing data processing}}, author = {Laparra, V. and Tuia, D. and Jiménez, S. and Camps-Valls, G. and Malo, J.}, year = 2011, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, pages = {4180--4183}, doi = {http://dx.doi.org/10.1109/IGARSS.2011.6050151}, url = 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{http://dx.doi.org/10.1109/IGARSS.2011.6049748}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-80955136713&partnerID=40&md5=1e3fa0ae180753574177fa56357cf1ac}, note = 1, art_number = 6049748, document_type = {Conference Paper} } @inproceedings{Tuia20114148, title = {{Explicit recursivity into reproducing kernel Hilbert spaces}}, author = {Tuia, D. and Camps-Valls, G. and Martinez-Ramon, M.}, year = 2011, journal = {ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings}, pages = {4148--4151}, doi = {http://dx.doi.org/10.1109/ICASSP.2011.5947266}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-80051654279&partnerID=40&md5=cf5a0d7fce1afb80c76b713ae4ebcc2c}, note = 1, art_number = 5947266, document_type = {Conference Paper} } @inproceedings{Volpi2011106, title = {{Unsupervised change detection in the feature space using kernels}}, author = {Volpi, M. and Tuia, D. and Camps-Valls, G. and Kanevski, M.}, year = 2011, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, pages = {106--109}, doi = {http://dx.doi.org/10.1109/IGARSS.2011.6048909}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-80955145168&partnerID=40&md5=059392d488dc1bd8df142fd221c2557d}, note = 1, art_number = 6048909, document_type = {Conference Paper} } @inproceedings{Alonso10, title = {{Empirical and statistical approaches for the improved retrieval of chlorophyll and LAI from Sentinel-2 data}}, author = {Verrelst, J. and Alonso, L. and Camps-Valls, G. and Moreno, J.}, year = 2010, booktitle = {ESA Living Planet Symposium 2010}, location = {Bergen, Norway} } @inproceedings{AmorosIGARSS10, title = {{Multi-resolution Spatial Unmixing for MERIS and Landsat Image Fusion}}, author = {Amoros, Julia and G{ó}mez-Chova, Luis and Guanter, Luis and Alonso, Luis and Moreno, Jose and Camps-Valls, Gustavo}, year = 2010, month = jul, booktitle = {IEEE International Geoscience and Remote Sensing Symposium, IGARSS'2010}, 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9th International Conference on Intelligent Systems Design and Applications}, pages = {566--571}, doi = {http://dx.doi.org/10.1109/ISDA.2009.121}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77949513698&partnerID=40&md5=93b98a7ccf4669a60a10feb9e8fb0a97}, note = {0}, art_number = 5364981, document_type = {Conference Paper} } @inproceedings{GomezChova09glob, title = {{Improved cloud detection by means of the synergistic use of MERIS and AATSR data}}, author = {Gómez-Chova, L. and Camps-Valls, G. and Muñoz-Marí, J. and Calpe, J. and Moreno, J.}, year = 2009, month = mar, booktitle = {{GlobCloud} Workshop ``Clouds: from satellite observations to atmospheric modelling''}, location = {Berlin, Germany} } @inproceedings{Gomez-Chova2009IV761, title = {{Cloud screening with combined MERIS and AATSR images}}, author = {Gómez-Chova, L. and Muñoz-Marí, J. and Izquierdo-Verdiguier, E. and Camps-Valls, G. and Calpe, J. and Moreno, J.}, year = 2009, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = 4, pages = {IV761-IV764}, doi = {http://dx.doi.org/10.1109/IGARSS.2009.5417488}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77951273267&partnerID=40&md5=7c707e233251b5e1a7be21059ca5dcaa}, note = 4, art_number = 5417488, document_type = {Conference Paper} } @inproceedings{Laparra2009, title = {{PCA Gaussianization for one-class remote sensing image classification}}, author = {Laparra, V. and Muñoz-Marí, J. and Camps-Valls, G. and Malo, J.}, year = 2009, journal = {Proceedings of SPIE - The International Society for Optical Engineering}, volume = 7477, doi = {http://dx.doi.org/10.1117/12.834011}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350454801&partnerID=40&md5=93643dd2d4585e922dc23927a6633c92}, note = 1, art_number = {74770U}, document_type = {Conference Paper} } @inproceedings{Laparra20093985, title = {{PCA Gaussianization for image processing}}, author = {Laparra, V. and Camps-Valls, G. and Malo, J.}, year = 2009, journal = {Proceedings - International Conference on Image Processing, ICIP}, pages = {3985--3988}, doi = {http://dx.doi.org/10.1109/ICIP.2009.5413808}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77951972845&partnerID=40&md5=de5addc4ae97ba0421c91d1be4df3629}, note = 1, art_number = 5413808, document_type = {Conference Paper} } @inproceedings{Tuia09mlsp, title = {{Structured SVM for Remote Sensing Image Classification}}, author = {Tuia, D. and Kanevski, M. and Mu{ñ}oz-Marí, J. and Camps-Valls, G.}, year = 2009, booktitle = {IEEE Workshop on Machine Learning for Signal Processing (MLSP09)}, address = {Grenoble, France} } @inproceedings{Tuia2009, title = {{Structured output SVM for remote sensing image classification}}, author = {Tuia, D. and Kanevski, M. and Muñoz-Marí, J. and Camps-Valls, G.}, year = 2009, journal = {Machine Learning for Signal Processing XIX - 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The International Society for Optical Engineering}, volume = 6365, doi = {http://dx.doi.org/10.1117/12.689585}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33751408786&partnerID=40&md5=ecbbc6bfcdebb40ebb4a61ef495787cb}, note = 10, art_number = {63650H}, document_type = {Conference Paper} } @inproceedings{ChovaESRIN06, title = {{Cloud probability mask for PROBA/CHRIS hyperspectral images}}, author = {Gómez-Chova, L. and Camps-Valls, G. and Amorós-López, J. and Calpe, J. and Guanter, L. and Alonso, L. and Fortea, J. C. and Moreno, J.}, year = 2006, month = sep, booktitle = {Proceedings of the IV CHRIS/Proba Workshop}, publisher = {ESA Publications Division}, address = {ESRIN, Frascati, Italy}, pages = {ESA SP-4} } @inproceedings{FelipeCinc06, title = {{Bootstrap feature selection in support vector machines for ventricular fibrillation detection}}, author = {Alonso-Atienza, F. and Rojo-{á}lvarez, J. 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E. and Moreno, J.}, year = 2006, month = sep, booktitle = {2nd International Symposium. Recent Advantages in Quantitative Remote Sensing}, address = {Torrent, Spain} } @inproceedings{GomezSanchisCIGR06, title = {{Hyperspectral computer vision system for early detection of Penicillium digitatum in citrus fruits}}, author = {Gómez-Sanchis, J. and Moltó, E. and Gómez-Chova, L. and Aleixos, N. and Camps-Valls, G. and Juste, F. and Blasco, J.}, year = 2006, month = sep, booktitle = {Proceedings of the {XVI} {CIGR}/{E}ur{A}g{E}ng/{VDI-MEG}/{FAO} {W}orld {C}ongress 2006 - {A}gricultural {E}ngineering for a better {W}orld}, address = {Bonn, Germany}, pages = {ISBN: 3--18--091958--2} } @inproceedings{Plaza20061974, title = {{Advanced processing of hyperspectral images}}, author = {Plaza, A. and Benediktsson, J.A. and Boardman, J. and Brazile, J. and Bruzzone, L. and Camps-Valls, G. and Chanussot, J. and Fauvel, M. and Gamba, P. and Gualtieri, A. and Tilton, J.C. and Trianni, G.}, year = 2006, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, pages = {1974--1978}, doi = {http://dx.doi.org/10.1109/IGARSS.2006.511}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-34948822201&partnerID=40&md5=9f0b9083d85c4b0743fac7e117a1f0e4}, note = 12, art_number = 4241658, document_type = {Conference Paper} } @inproceedings{Camps-Valls2005, title = {{Relevance vector machines for sparse learning of biophysical parameters}}, author = {Camps-Valls, G. and Gomez-Chova, L. and Vila-Francés, J. and Amorós-López, J. and Muñoz-Marí, J. and Calpe-Maravilla, J.}, year = 2005, journal = {Proceedings of SPIE - The International Society for Optical Engineering}, volume = 5982, doi = {http://dx.doi.org/10.1117/12.627656}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33644503553&partnerID=40&md5=85cf0e408d64ff01b28b5b6ff737a067}, note = 1, art_number = {59820Z}, document_type = {Conference Paper} } @inproceedings{Gomez-Chova2005, title = {{Cloud detection for CHRIS/Proba hyperspectral images}}, author = {Gómez-Chova, L. and Amorós, J. and Camps-Valls, G. and Martín, J.D. and Calpe, J. and Alonso, L. and Guanter, L. and Fortea, J.C. and Moreno, J.}, year = 2005, journal = {Proceedings of SPIE - The International Society for Optical Engineering}, volume = 5979, doi = {http://dx.doi.org/10.1117/12.627704}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33244494672&partnerID=40&md5=5fe6a7dd5525bcc9490e0f498308f511}, note = 3, art_number = {59791Q}, document_type = {Conference Paper} } @inproceedings{Gomez-Chova2005201, title = {{Urban monitoring at a regional scale based on MERIS and ASAR data}}, author = {Gómez-Chova, L. and Fernández-Prieto, D. and Calpe, J. and Camps-Valls, G.}, year = 2005, journal = {European Space Agency, (Special Publication) ESA SP}, number = 597, pages = {201--208}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33645673892&partnerID=40&md5=4ef334acaee27387039a02e5d094738b}, note = {0}, document_type = {Conference Paper} } @inproceedings{Gomez-Chova200565, title = {{Cloud masking scheme based on spectral, morphological and physical features}}, author = {Gómez-Chova, L. and Calpe, J. and Camps-Valls, G. and Amorós, J. and Martin, J.D. and Alonso, L. and Guanter, L. and Fortea, J.C. and Moreno, J.F.}, year = 2005, journal = {European Space Agency, (Special Publication) ESA SP}, number = 593, pages = {65--74}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-23844473100&partnerID=40&md5=2964cc092d2284c32b8771955d4afec1}, note = {0}, document_type = {Conference Paper} } @inproceedings{Gomez-Chova200577, title = {{Cloud detection for MERIS multispectral images}}, author = {Gómez-Chova, L. and Camps-Valls, G. and Amorós, J. and Martín, J.D. and Calpe, J. and Alonso, L. and Guanter, L. and Fortea, J.C. and Moreno, J.}, year = 2005, journal = {European Space Agency, (Special Publication) ESA SP}, number = 597, pages = {77--85}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33645665921&partnerID=40&md5=3033a2496f8e093745593d6b69ef7537}, note = {0}, document_type = {Conference Paper} } @inproceedings{MartinUSER05, title = {{Improving InfoVille XXI using Machine Learning Techniques}}, author = {Martín, J. D. and Lisboa, P. G. J. and Soria, E. and Palomares, A. and Balaguer, E. and Serrano, A. J. and Camps-Valls, G.}, year = 2005, month = jul, booktitle = {10th International Conference on User Modelling 2005. Workshop on Machine Learning for User Modeling: Challenges}, address = {Edinburg, UK} } @inproceedings{Navarro05, title = {{Gain control for the chromatic channels in JPEG2000}}, author = {Y. Navarro, J. Rovira, J. Gutiérrez and J. Malo}, year = 2005, booktitle = {AIC Colour 05 - 10th Congress of the International Colour Association} } @inproceedings{Camps04iciar, title = {{Regularized RBF Networks for Hyperspectral Data Classification}}, author = {Camps-Valls, G. and Serrano-López, A. and Gómez-Chova, L. and Mart{\i}n, J. D. and Calpe, J. and Moreno, J.}, year = 2004, month = oct, booktitle = {{I}nternational {C}onference on {I}mage {R}ecognition, {ICIAR}'04.}, publisher = {Lecture Notes in Computer Science (LNCS). Springer-Verlag}, address = {Porto, Portugal}, volume = 3212, pages = {429--436} } @inproceedings{Camps-Valls2004226, title = {{Regularized methods for hyperspectral image classification}}, author = {Camps-Valls, G. and Bruzzone, L.}, year = 2004, journal = {Proceedings of SPIE - The International Society for Optical Engineering}, volume = 5573, pages = {226--237}, doi = {http://dx.doi.org/10.1117/12.601712}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-17644391751&partnerID=40&md5=3deec319893b0af17215450f074c8fd2}, note = 1, art_number = 68, document_type = {Conference Paper} } @inproceedings{Camps-Valls2004234, title = {{Kernel methods for HyMap imagery knowledge discovery}}, author = {Camps-Valls, G. and Gómez-Chova, L. and Calpe-Maravilla, J. and Soria-Olivas, E. and Martín-Guerrero, J.D. and Moreno, J.}, year = 2004, journal = {Proceedings of SPIE - The International Society for Optical Engineering}, volume = 5238, pages = {234--243}, doi = {http://dx.doi.org/10.1117/12.510719}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-1942503318&partnerID=40&md5=741bdfb613fab679e48f1dc804a579a1}, note = {0}, document_type = {Conference Paper} } @inproceedings{Gomez-Chova2004138, title = {{Partially supervised hierarchical clustering of SAR and multispectral imagery for Urban areas monitoring}}, author = {Gómez-Chova, L. and Fernández-Prieto, D. and Calpe, J. and Soria, E. and Vila, J. and Camps-Valls, G.}, year = 2004, journal = {Proceedings of SPIE - The International Society for Optical Engineering}, volume = 5573, pages = {138--149}, doi = {http://dx.doi.org/10.1117/12.565276}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-17644401738&partnerID=40&md5=4a399d42e63cf9c48be0d938ebdd87eb}, note = 3, art_number = 13, document_type = {Conference Paper} } @inproceedings{Gomez-Chova2004398, title = {{Robust automatic classification method for hyperspectral imagery}}, author = {Gomez-Chova, L. and Calpe, J. and Camps-Valls, G. and Martin, J.D. and Soria, E. and Vila, J. and Alonso-Chorda, L. and Moreno, J.}, year = 2004, journal = {Proceedings of SPIE - The International Society for Optical Engineering}, volume = 5238, pages = {398--407}, doi = {http://dx.doi.org/10.1117/12.510673}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-1942471006&partnerID=40&md5=529c9c394576a5690aada2f8e619b8eb}, note = 2, document_type = {Conference Paper} } @inproceedings{GomezPRRS04, title = {{Multispectral and Multitemporal SAR Data Characterization for Urban Monitoring}}, author = {Gómez-Chova, L. and Fernández-Prieto, D. and Calpe, J. and Soria, E. and Vila, J. and Camps-Valls, G.}, year = 2004, month = aug, booktitle = {3rd International Workshop on Pattern Recognition in Remote Sensing (PRRS'04)}, address = {Kingston University, Kingston upon Thames, London, UK} } @inproceedings{Martin04web, title = {{Machine Learning Methods for One-Session Ahead Prediction of Accesses to Page Categories.}}, author = {Martín-Guerrero, J. D. and Balaguer-Ballester, E. and Camps-Valls, G. and Palomares, A. and Serran-López, A. J. and Gómez-Sanchis, J. and Soria-Olivas, E.}, year = 2004, month = aug, booktitle = {3rd {I}nternational {C}onference on {A}daptive {H}ypermedia and {A}daptive {W}eb-based {S}ystems, {AH}'04}, publisher = {Lecture Notes in Computer Science (LNCS). Springer-Verlag}, address = {Eindhoven, The Netherlands}, volume = 3137, pages = {421--424} } @inproceedings{CalpeSPECTRA, title = {{Machine learning methods for hyperspectral image analysis and modeling}}, author = {Calpe, J. and Gómez-Chova, L. and Camps-Valls, G. and Martín, J. D. and Soria, E. and Vila, J. and Alonso-Chorda, L. and Moreno, J.}, year = 2003, month = oct, booktitle = {Workshop: SPECTRA: a space-borne Earth Observation Mission to address the role of terrestrial vegetation in the Carbon Cycle}, address = {ESTEC. Noordwijk, The Netherlands. (ESA WPP-225, March 2004). (ISSN: 1022-6656)} } @inproceedings{Camps03escp, title = {{Neural networks for C_2h cyclosporine concentration modelling}}, author = {Camps-Valls, G. and Serrano-L{ó}pez, A. J. and Porta-Oltra, B. and Mart{{\i}}n-Guerrero, J. D. and Soria-Olivas, E. and Jim{é}nez-Torres, N. V.}, year = 2003, month = sep, booktitle = {32nd {E}uropean {S}ymposium on {C}linical {P}harmacy, {ESCP}'03.}, address = {València, Spain}, number = 1, pages = {P28} } @inproceedings{CampsValls03ibpria, title = {{Support Vector Machines for Crop Classification Using Hyperspectral Data}}, author = {Camps-Valls, G. and Gómez-Chova, L. and Calpe-Maravilla, J. and Soria-Olivas, E. and Martín-Guerrero, J. D. and Moreno, J.}, year = 2003, month = aug, booktitle = {{I}berian {C}onference on {P}attern {R}ecognition and {I}mage {A}nalysis. {IbPRIA}'03}, publisher = {Lecture Notes in Computer Science (LNCS). Springer-Verlag}, address = {Mallorca, Spain}, volume = 2085, pages = {134--141} } @inproceedings{Gomez-Chova20031776, title = {{Semi-Supervised Classification Method for Hyperspectral Remote Sensing Images}}, author = {Gomez-Chova, L. and Calpe, J. and Camps-Valls, G. and Martín, J.D. and Soria, E. and Vila, J. and Alonso-Chorda, L. and Moreno, J.}, year = 2003, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = 3, pages = {1776--1778}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0242541981&partnerID=40&md5=4d4eca2d95473e163cd2d077d63697ca}, note = 4, document_type = {Conference Paper} } @inproceedings{Gomez-Chova2003555, title = {{Feature Selection of Hyperspectral Data Through Local Correlation and SFFS for Crop Classification}}, author = {Gomez-Chova, L. and Calpe, J. and Camps-Valls, G. and Martín, J.D. and Soria, E. and Vila, J. and Alonso-Chorda, L. and Moreno, J.}, year = 2003, journal = {International Geoscience and Remote Sensing Symposium (IGARSS)}, volume = 1, pages = {555--557}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0242459609&partnerID=40&md5=baf5a872c15835ca0229b51109aaabcc}, note = 22, document_type = {Conference Paper} } @inproceedings{Gomez-Chova2003589, title = {{CART-based feature selection of hyperspectral images for crop cover classification}}, author = {Gómez-Chova, L. and Calpe, J. and Soria, E. and Camps-Valls, G. and Martín, J.D. and Moreno, J.}, year = 2003, journal = {IEEE International Conference on Image Processing}, volume = 3, pages = {589--592}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0345134153&partnerID=40&md5=280799f49bd0d4038c3938e82f0363f0}, note = 7, document_type = {Conference Paper} } @inproceedings{GomezSPIE03, title = {{Robust Automatic Classification Method for Hyperspectral Imagery}}, author = {Gómez, L. and Calpe, J. and Camps-Valls, G. and Martín, J. D. and Soria, E. and Moreno, J.}, year = 2003, month = sep, booktitle = {SPIE Remote Sensing Symposium. Image and Signal Processing for Remote Sensing IX. SPIE03}, address = {Barcelona, Spain}, volume = 5238, pages = {398--407} } @inproceedings{Gutierrez03, title = {{Perceptual regularization functionals for natural image restoration}}, author = {Jaime Gutierrez and Jesus Malo and Francesc J. Ferri}, year = 2003, booktitle = {{ICIP} {(2)}}, pages = {989--992}, doi = {http://dx.doi.org/10.1109/ICIP.2003.1246850}, url = {http://dx.doi.org/10.1109/ICIP.2003.1246850} } @inproceedings{Malo03, title = {{Normalized Image Representation for Efficient Coding}}, author = {J. Malo}, year = 2003, booktitle = {Proc. IEEE 37th Asilomar Conf. Signals Systems \& Comp.}, volume = 2, pages = {1408--1412} } @inproceedings{MartinISPA03, title = {{A soft approach to ERA algorithm for hyperspectral image classification}}, author = {Martín, J. D. and Gómez, L. and Calpe, J. and Camps-Valls, G. and Soria, E. and Moreno, J.}, year = 2003, month = sep, booktitle = {IEEE International International. Symposium on Image and Signal Processing and Analysis (ISPA 2003)}, address = {Rome, Italy}, volume = 2, pages = {761--765} } @inproceedings{Fernando02, title = {{Multi-dimensional Function Approximation and Regression Estimation}}, author = {F. Pérez-Cruz and G. Camps-Valls and E. Soria-Olivas and J. J. Pérez-Ruixo and A. R. Figueiras-Vidal and A. Artés-Rodríguez}, year = 2002, month = aug, booktitle = {{I}nternational {C}onference on {A}rtificial {N}eural {N}etworks, {ICANN}'02.}, publisher = {Lecture Notes in Computer Science (LNCS). Springer-Verlag}, address = {Madrid, Spain}, volume = 2415, pages = {757--782} } @inproceedings{GomezRARQS02, title = {{Semi-supervised method for crop classification using hyperspectral remote sensing images}}, author = {Gómez, L. and Calpe, J. and Soria, E. and Camps-Valls, G. and Martín, J. D. and Moreno, J.}, year = 2002, month = sep, booktitle = {{1st International Symposium. Recent Advantages in Quantitative Remote Sensing, RAQRS'2002}}, address = {Torrent (València)}, pages = {488--495} } @inproceedings{MartinEUNITE02, title = {{Solving clinical problems with artificial neural networks: some case studies}}, author = {Martín, J. D. and Soria, E. and Camps-Valls, G. and Serrano, A. J. and Sepúlveda, J. R. and Jiménez, N. V.}, year = 2002, month = sep, booktitle = {Second European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems EUNITE 2002}, address = {Albufeira (Portugal)}, note = {CD y Booklet. Published at ``Intelligent e-Health Applications in Medicine'' (Univ. of Aegean)} } @inproceedings{Rosado-Munoz2002209, title = {{Enhancing feature extraction for VF detection using data mining techniques}}, author = {Rosado-Muñoz, A. and Camps-Valls, G. and Guerrero-Martínez, J. and Francés-Villora, J.V. and Muñoz-Marí, J. and Serrano-López, A.J.}, year = 2002, journal = {Computers in Cardiology}, volume = 29, pages = {209--212}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0036955664&partnerID=40&md5=e2f36b97a50d29d6b029fea3296785e2}, note = 3, document_type = {Conference Paper} } @inproceedings{RosadoTELEC02, title = {{Two different approaches for a real-time acquisition system for Ventricular Fibrillation detection using time-frequency algorithms}}, author = {Rosado, A. and Magdalena, J. R. and Mu{ñ}oz, J. and Bataller, M. and Camps, G.}, year = 2002, month = jul, booktitle = {International Conference TELEC02}, address = {Santiago de Cuba (Cuba)}, note = {Libro de Actas+CD-ROM} } @inproceedings{Sepulveda-Sanchis2002413, title = {{Support vector machines and genetic algorithms for detecting unstable angina}}, author = {Sepúlveda-Sanchis, J. and Camps-Valls, G. and Soria-Olivas, E. and Salcedo-Sanz, S. and Bousoño-Calzón, C. and Sanz-Romero, G. and Marrugat de la Iglesia, J.}, year = 2002, journal = {Computers in Cardiology}, volume = 29, pages = {413--416}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0036945610&partnerID=40&md5=b163149c2f9feb4566ac2842bc154434}, note = 1, document_type = {Conference Paper} } @inproceedings{SerranoEUNITE02, title = {{Web-based Clinical Decision Support System Using Neural Networks}}, author = {Serrano, A. J. and Soria, E. and Camps-Valls, G. and Martín, J. D. and Sepúlveda, J. R. and Magdalena, R. and Jiménez, N. V.}, year = 2002, month = sep, booktitle = {Second European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems EUNITE 2002}, address = {Albufeira (Portugal)}, note = {CD y Booklet. Published at ``Intelligent e-Health Applications in Medicine'' (Univ. of Aegean)} } @inproceedings{Watson02, title = {{Video quality measures based on the standard spatial observer}}, author = {Andrew B. Watson and Jesus Malo}, year = 2002, booktitle = {{ICIP} {(3)}}, pages = {41--44}, doi = {http://dx.doi.org/10.1109/ICIP.2002.1038898}, url = {http://dx.doi.org/10.1109/ICIP.2002.1038898} } @inproceedings{Camps01cinc, title = {{Fetal ECG extraction using an FIR neural network}}, author = {Camps, G. and Mart{{\i}}nez, M. and Soria, E.}, year = 2001, month = sep, booktitle = {{C}omputers in {C}ardiology. {IEEE} {C}omputer {S}ociety {P}ress}, address = {Rotterdam, The Netherlands}, number = 28, pages = {249--252} } @inproceedings{Camps01icann, title = {{Neural Networks Ensemble for Cyclosporine Concentration Monitoring}}, author = {Camps-Valls, G. and Soria-Olivas, E. and Mart{{\i}}n-Guerrero, J. D. and P{é}rez-Ruixo, J. J. and Jim{é}nez-Torres, N. V.}, year = 2001, month = aug, booktitle = {{I}nternational {C}onference on {A}rtificial {N}eural {N}etworks, {ICANN}'2001}, publisher = {Lecture Notes in Computer Science (LNCS). Springer-Verlag}, address = {Vienna, Austria}, volume = 2130, pages = {706--711} } @inproceedings{Camps01nips, title = {{A Profile-Dependent Kernel-based Regression for Cyclosporine Concentration Prediction}}, author = {Camps-Valls, G. and Soria-Olivas, E. and P{é}rez-Ruixo, J. and Art{é}s-Rodr{{\i}}guez, A. and P{é}rez-Cruz, F. and Figueiras-Vidal, A.}, year = 2001, month = dec, booktitle = {{N}eural {I}nformation {P}rocessing {S}ystems, {NIPS}'01. {W}orkshop on {N}ew {D}irections in {K}ernel-based {L}earning {M}ethods}, address = {Vancouver, British Columbia, Canada} } @inproceedings{CampsPAGE01, title = {{Comparative study of NONMEM and Neural Networks for Cyclosporine Dosage Prediction in Renal Allograft Recipients}}, author = {Camps-Valls, G. and Porta, B. and Pérez-Ruixo, J. J. and Soria, E. and Martín, J. D. and Jiménez, V.}, year = 2001, month = jun, booktitle = {Population Approach Group Europe (PAGE2001), ISSN 1871-6032}, address = {Basel, Suiza}, volume = {Abstr 217}, url = {http://www.page-meeting.org/} } @inproceedings{MartinCIN01, title = {{Optimización de dosis de EPO en pacientes con anemia secundaria a insuficiencia renal crónica a través de la predicción del nivel de hemoglobina}}, author = {Martín-Guerrero, J. D. and Soria-Olivas, E. and Pérez-Ruixo, J. J. and Camps-Valls, G. and Serrano-López, A. J. and Sepúlveda-Sanchis, J. R. and Jiménez-Torres, N. V.}, year = 2001, month = nov, booktitle = {2nd International Congress of Nephrology in Internet}, address = {Burgos, Spain}, url = {http://www.uninet.edu/cin2001/html/index.html} } @inproceedings{Martinez01cinc, title = {{Methods to evaluate the performance of fetal electrocardiogram extraction algorithms}}, author = {Martinez, M. and Calpe, J. and Soria, E. and Guerrero, J.F. and Camps, G. and Gomez, L.}, year = 2001, booktitle = {Computers in Cardiology 2001}, pages = {253--256}, doi = {10.1109/CIC.2001.977640}, issn = {0276-6547}, keywords = {electrocardiography;medical signal processing;obstetrics;software performance evaluation;algorithm performance evaluation;extraction algorithm quality indexes;fetal ECG;fetal electrocardiogram extraction algorithms;objective measurements;operational parameters;recovered signal quality measurements;simulated registers;visual inspection criteria;Data compression;Data mining;Electrocardiography;Electrodes;Inspection;Inverse problems;Proposals;Signal generators;Signal to noise ratio;Visual databases} } @inproceedings{MartinPAGE01, title = {{Erythropoietin Dosage Individualisation in Anemic Patients With Chronic Renal Failure}}, author = {Martín, J. D. and Jiménez, V. and Pérez-Ruixo, J. and Serrano, A. and Rosado, A. and Soria, E. and Camps-Valls, G.}, year = 2001, month = jun, booktitle = {Population Approach Group Europe (PAGE2001), ISSN 1871-6032}, address = {Basel, Suiza}, volume = {Abstr 214}, url = {http://www.page-meeting.org/} } @inproceedings{Sepulveda01cinc, title = {{Risk Assessment For Acute Myocardial Infarction Patients Using Artificial Neural Networks}}, author = {Sepulveda, J. and Soria, E. and Camps-Valls, G. and Sanz, G. Marrugat, J. and Gómez, L.}, year = 2001, month = sep, booktitle = {Computers in Cardiology, CINC'01. IEEE Computer Society Press}, address = {Rotterdam (Holanda)}, number = 28, pages = {573--575} } @inproceedings{Serrano01, title = {{Some examples for solving Clinical Problems using Neural Networks}}, author = {Serrano, A. J. and Soria, E. and Camps-Valls, G. and Martín, J. D.}, year = 2001, month = jun, booktitle = {6th {I}nternational {W}ork-Conference On {A}rtificial and {N}atural {N}eural {N}etworks. {IWANN}'2001}, publisher = {Lecture Notes in Computer Science (LNCS). Springer-Verlag}, address = {Granada, Spain}, volume = 2085, pages = {345--355} } @inproceedings{SerranoPAGE01, title = {{An Example of a Neural Network Like a Pharmacokinetic/Pharmacodynamic Model}}, author = {Serrano, A. J. and Martín, J. D. and Jiménez, V. and Pérez-Ruixo, J. J. and Camps-Valls, G. and Soria, E.}, year = 2001, month = jun, booktitle = {Population Approach Group Europe (PAGE2001), ISSN 1871-6032}, address = {Basel, Suiza}, volume = {Abstr 216}, url = {http://www.page-meeting.org/} } @inproceedings{CampsWC00, title = {{A Neural Approach to Ciclosporine dose Prediction}}, author = {Camps-Valls, G. and Soria, E. and Jiménez, N. V. and Martín, J. D. and Serrano, A. J. and Porta, B.}, year = 2000, month = jul, booktitle = {Chicago 2000 World Congress on Medical Physics and Biomedical Engineering}, address = {Chicago (Illinois), EE.UU.} } @inproceedings{CampsWC00b, title = {{Artificial Neural Networks for the Classification of potentially Intoxicates Patients Treated with Digoxin}}, author = {Camps-Valls, G. and Soria, E. and Jiménez, N. V.}, year = 2000, month = jul, booktitle = {Chicago 2000 World Congress on Medical Physics and Biomedical Engineering}, address = {Chicago (Illinois), EE.UU.} } @inproceedings{GuerreroWC00, title = {{Cross-correlation of the Heart Rate Variability and Ventricular Repolarization Duration in Diabetic Patients Affected by Autonomic Cardiovascular Neuropathy}}, author = {Guerrero, J. and López, M. P. and Chorro, J. and Martínez, M. and Camps-Valls, G. and Ampudia, J.}, year = 2000, month = jul, booktitle = {Chicago 2000 World Congress on Medical Physics and Biomedical Engineering}, address = {Chicago (Illinois), EE.UU.} } @inproceedings{JimenezASHP99, title = {{Prediction of digoxin Plasma Potentially Toxic Levels by Using a Neural Network Model}}, author = {Jiménez, N. V. and Soria, E. and Albert, A. and Serrano, A. J. and Camps, G.}, year = 2000, month = jan, booktitle = {1999 Midyear Clinical Meeting. ASHP'99. American Society of Health-System Pharmacists}, address = {Orlando (EEUU)}, pages = 2277 } @inproceedings{MartinWC00a, title = {{Nonlinear Prediction of rhEPO Dose by Using Neural Networks}}, author = {Martín, J. D. and Soria, E. and Jiménez, N. V. and Camps-Valls, G. and Serrano, A. J. and Pérez Ruixo, J.}, year = 2000, month = jul, booktitle = {Chicago 2000 World Congress on Medical Physics and Biomedical Engineering}, address = {Chicago (Illinois), EE.UU.} } @inproceedings{GuerreroCINC99, title = {{Analysis of Heart Rate Variability In Diabetic Patients Affected By Autonomic Cardiovascular Neuropathy}}, author = {Guerrero, J. and López, P. and Chorro, J. and Martínez, M. and Camps-Valls, G. and Magdalena, R. Rosado, A. and Ampudia, J.}, year = 1999, month = sep, booktitle = {Computers in Cardiology 1999, CINC'1999. IEEE Computer Society Press}, address = {Hannover, Germany}, pages = {241--244} } @inproceedings{RosadoESEM99, title = {{Ventricular Fibrillation Detection Method Using Pseudo Wigner-Ville Time-Frequency Representation}}, author = {Rosado, A. and Guerrero, J. and Serrano, A. and Soria, E. and Martínez, M. and Camps, G.}, year = 1999, month = may, booktitle = {Fifth Conference of the European Society for Engineering \& Medicine. ESEM'1999}, address = {Barcelona}, pages = {379--380} } @inproceedings{Ferri98, title = {{Variable-size block matching algorithm for motion estimation using a perceptual-based splitting criterion}}, author = {Francesc J. Ferri and Jesus Malo and Jes{{u}}s V. Albert and J. Soret}, year = 1998, booktitle = {Fourteenth International Conference on Pattern Recognition, {ICPR} 1998, Brisbane, Australia, 16-20 August, 1998}, pages = {286--288}, doi = {http://dx.doi.org/10.1109/ICPR.1998.711137}, url = {http://dx.doi.org/10.1109/ICPR.1998.711137} } @inproceedings{SoriaMexico98a, title = {{Uso de redes neuronales en la clasificación de pacientes con riesgo de intoxicación por digoxina}}, author = {Soria, E. and Camps-Valls, G. and Serrano, A. J. and Molina, J. and Martín, J. D. and Albert, A.}, year = 1998, month = nov, booktitle = {I Congreso Latinoamericano de Ingeniería Biomédica MAZATLáN '98}, address = {Mazatlán, México}, pages = {167--170} } @inproceedings{SoriaMexico98b, title = {{Aplicación informática para la identificación de pacientes con riesgo de intoxicación digitálica}}, author = {Soria, E. and Camps-Valls, G. and Serrano, A. J. and Albert, A. and Jiménez, N. V.}, year = 1998, month = nov, booktitle = {I Congreso Latinoamericano de Ingeniería Biomédica MAZATLáN '98}, address = {Mazatlán, México}, pages = {211--214} } @inproceedings{Malo97, title = {{Adaptive Motion Estimation and Video Vector Quantization Based on Spatiotemporal Non-linearities of Human Perception}}, author = {Jesus Malo and Francesc J. Ferri and Jes{{u}}s V. Albert and J. M. Artigas}, year = 1997, booktitle = {Image Analysis and Processing, 9th International Conference, {ICIAP} '97, Florence, Italy, September 17-19, 1997, Proceedings, Volume {I}}, pages = {454--461}, doi = {http://dx.doi.org/10.1007/3-540-63507-6_232}, url = {http://dx.doi.org/10.1007/3-540-63507-6_232} }
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