Conference papers

The Atmospheric Machine Learning Emulation Challenge (AMLEC)

Servera J., Contreras J., Poirier R., Rochel A., Singh J., Liatsis P., Marzouqi H. and Camps-Valls G.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Cham, 503–511, 2026

Integrating AI for Climate Resilience

Camps-Valls G.
EGU General Assembly 2026, Vienna, Austria & Online, 2026

Balancing Spatial, Spectral, and Temporal Information: Which Dimension Drives Deep Learning Performance in Forest Disturbance Classification?

Müller F., Bastos A. and Camps-Valls G.
EGU General Assembly 2026, Vienna, Austria & Online, 2026

Granger PCA: Extracting Granger-causal patterns in climate fields

Durand H., Varando G. and Camps-Valls G.
EGU General Assembly 2026, Vienna, Austria & Online, 2026

Dynamic Mode Decomposition with Control for Forced Response Estimation

Mankovich N., Gavrilov A. and Camps-Valls G.
EGU General Assembly 2026, Vienna, Austria & Online, 2026

Kernel Taylor Diagram for Earth System Model Evaluation

Gavrilov A., Mankovich N., Link M., Huang F. and Camps-Valls G.
EGU General Assembly 2026, Vienna, Austria & Online, 2026

Predicting multi-sectoral drought impacts in the Mediterranean with spatio-temporal deep learning

Sapena M., Papadopoulos N., Athanasiou G., Papoutsis I. and Camps-Valls G.
EGU General Assembly 2026, Vienna, Austria & Online, 2026

Comparative Approaches for Detecting Critical Transitions in Food Crises

Frazzetto P., Gavrilov A., Cerdà-Bautista J., Piovani D. and Camps-Valls G.
EGU General Assembly 2026, Vienna, Austria & Online, 2026

From Global to Local: Precision Carbon Flux Mapping for Natural Climate Solutions

Moreno-Martinez A., Izquierdo-Verdiguier E., Muñoz-Mari J., Hirn J., Endsley A., Desai A., Metzger S., Bower S., Robinson N., Greenberg S., Clinton N. and Camps-Valls G.
EGU General Assembly 2026, Vienna, Austria & Online, 2026

Causal discovery from equation discovery

Camps-Valls G., Guimerà R., Varando G., Diaz E., Cohrs K. and Sales-Pardo M.
EGU General Assembly 2026, Vienna, Austria & Online, 2026

Causal disentangling of soil moisture and temperature feedbacks on surface climate extremes under vegetation change

Huang F., Camps-Valls G., Winkler A., Reimers C., Carvalhais N. and Gavrilov A.
EGU General Assembly 2026, Vienna, Austria & Online, 2026

Explainable Cloud Feedback Evaluation in Earth System Models

Mankovich N., Gavrilov A., Huang F., Camps-Valls G., Lan F. and Bodas-Salcedo A.
EGU General Assembly 2026, Vienna, Austria & Online, 2026

Identifying the Restructuring of Forced Responses and Internal Variability in Soil Moisture–Precipitation Coupling Mechanisms

Zhang M., Huang F., Gavrilov A., Mankovich N., Fernández-Torres M. and Camps-Valls G.
EGU General Assembly 2026, Vienna, Austria & Online, 2026

TACO: Operationalizing AI-Ready EO datasets

Pellicer-Valero O., Aybar C., Czerkawski M., Oliver C., Monsálvez K., Contreras J. and Camps-Valls G.
EGU General Assembly 2026, Vienna, Austria & Online, 2026

Leveraging Differentiable Climate-Economy Models for Hybrid Modeling and Inverse Problems

Ponse K., Cohrs K., Wozny P., Williams A., Zhang T., Acar E., Bengio Y., Plaat A., Moerland T., Gentine P. and Camps-Valls G.
EGU General Assembly 2026, Vienna, Austria & Online, 2026

AFNO-based downscaling of global air pollution fields

Monsalvez-Pozo K., Granell-Haro F., Martinez-Roig M., Galván Fraile V., Plaza-Martín N., Ramacher M., Bieser J., Flemming J., Razinger M., Harder P., Azorin-Molina C. and Camps-Valls G.
EGU General Assembly 2026, Vienna, Austria & Online, 2026

Global shifts in Earth’s seasonal green wave

Mahecha M., Kraemer G., Renhardt M., Montero D., Gans F., Bastos A., Feilhauer H., Flik I., Ji C., Kattenborn T., Migliavacca M., Mönks M. and others
EGU General Assembly 2026, Vienna, Austria & Online, 2026

Learning Causal Response Representations through Direct Effect Analysis

Durand H., Varando G. and Camps-Valls G.
Proceedings of the 41st Conference on Uncertainty in Artificial Intelligence (UAI 2025), 2025
URL

Keynote Presentation: Advancing AI for Earth Observation

Camps-Valls G.
2025
URL

Presentation at Workshop on Artificial Intelligence for Carbon

Camps-Valls G.
2025
URL

Talk on Machine Learning & Sustainability

Camps-Valls G.
2025
URL

Mapping Tree Hydraulics and Assemblages at Continental Scale

Moreno A., Muñoz J., Knighton J., Sanchez Martinez P., Anderegg L., Dechant B., Schneider F., Kattge J., Koppa A., Miralles D., Kattenborn T. and Camps-Valls G.
AGU25 Annual Meeting, New Orleans, Louisiana, USA, 2025

High-Resolution Carbon Flux Monitoring using a Global Estimation Model (CARBON-GEM) in Google Earth Engine

Izquierdo E., Moreno A., Muñoz J., Hirn J., Martínez-Ferrer L. and Camps-Valls G.
AGU25 Annual Meeting, New Orleans, Louisiana, USA, 2025

Data Bottlenecks and Algorithmic Lag in AI for Droughts: A Review of 20-Years Worth of Trends

Ascenso G., Giuliani M., Pérez-Aracil J., Salcedo-Sanz S., Bertini C., Camps-Valls G., Bonetti P., Linscheid N., Merlo M., Fernández-Torres M., Palcic G., Ficchì A. and others
AGU25 Annual Meeting, New Orleans, Louisiana, USA, 2025

The art of deception: Color visual illusions and diffusion models

Gomez-Villa A., Wang K., Parraga C., Twardowski B., Malo J., Vazquez-Corral J. and van den Weijer J.
Proceedings of the Computer Vision and Pattern Recognition Conference, 18642–18652, 2025

A Flag Decomposition for Hierarchical Datasets

Mankovich N., Santamaria I., Camps-Valls G. and Birdal T.
CVPR, 2025
arXiv DOI

Operational and actionable Acute Food Insecurity modelling

Machefer M. and others
EGU General Assembly 2025, Session ITS4.8/NH13.2 – Novel Approaches for Early Warning Systems: from AI to trans-disciplinary approaches, 2025

Enhancing Light Efficiency Modeling with Symbolic Regression and KANs

Muñoz-Marí J. and others
EGU General Assembly 2025, Session BG3.7 – Novel methods for bridging understanding of carbon, energy, and water fluxes from leaf to continental scales, 2025

A Protocol to Evaluate Carbon Dioxide Flux Partitioning Methods for Eddy Covariance Data

Cohrs K. and others
EGU General Assembly 2025, Session BG3.7 – Novel methods for bridging understanding of carbon, energy, and water fluxes from leaf to continental scales, 2025

Optimal Sensor Placement for Aerosol Absorption Optical Depth with Convolutional Neural Processes

Pelucchi P. and others
EGU General Assembly 2025, Session ITS1.1/CL0.9 – Machine Learning for Climate Science, 2025

Exploring Non-Linear Memory Between Soil Moisture and Forest Greenness Dynamics

Williams T. and others
EGU General Assembly 2025, Session BG3.10 – Impacts of climatic extremes on plants and ecosystems across scales, 2025

Mapping Tree Hydraulics and Assemblages at Continental Scale

Moreno-Martínez Á. and others
EGU General Assembly 2025, Session BG3.3 – Plant traits, adaptation, and biogeochemical cycles – from measurements to models, 2025

Hierarchical Causal Graph-Based Methods for Imputing Food Insecurity

Rodrigo-Bonet E. and others
EGU General Assembly 2025, Session ESSI1.8 – Foundation Models for Earth Observation, Weather and Climate: Benchmarking, Best Practices and AI-Enabled Scientific Understanding, 2025

Global Vegetation Stress Drivers based on Hybrid Modelling and Explainable AI

Ruan F. and others
EGU General Assembly 2025, Session HS3.3 – Explainable and hybrid machine learning in hydrology and Earth system sciences, 2025

Benchmarking Deep Learning Models for Probabilistic Subseasonal Forecasting of Heat Extremes

Decancq C. and others
EGU General Assembly 2025, Session CL5.9 – AI-driven Forecasting for Weather, Climate, and Extreme Events, 2025

Physics-aware kernel Koopman operator estimation for consistent nonlinear mode decomposition

Mankovich N. and Camps-Valls G.
EGU General Assembly 2025, Session NP2.2 – Data-driven Methods for the Discovery of Oceanic and Atmospheric Dynamical Systems, 2025

Advancing AI for Earth sciences with hybrid and causal models

Camps-Valls G.
EGU General Assembly 2025, Session NP1.1 – Mathematics of Planet Earth, 2025

Causal Weighting for Climate Projections

Camps-Valls G. and others
EGU General Assembly 2025, Session ITS1.1/CL0.9 – Machine Learning for Climate Science, 2025

Out-of-distribution robustness for multivariate analysis via causal regularisation

Durand H., Camps-Valls G., Varando G. and Mankovich N.
The 28th International Conference on Artificial Intelligence and Statistics, 2025
URL

Comparison of Root Water Uptake Depth Derived from Models and Observations: A Focus on the Amazon

Bieri C., Dominguez F., Miguez-Macho G., Fan Y. and Piles M.
105th AMS Annual Meeting, 2025
URL

Nowcasting of Fog Using AI (NAI) Techniques Using Satellite Observations

Lliso L., Peinado-Galan N., Pellicer-Valero O., Lopez R., Rípodas P., Calbet X., Camps-Valls G. and Gultepe I.
105th AMS Annual Meeting, 2025
URL

Causal Machine Learning for Sustainable Agriculture and Food Security

Camps-Valls G., Sitokonstantinou V., Cerdá J., Diaz E., Varando G. and Piles M.
AGU24, 2024

Recovering Latent Confounders from High-dimensional Proxy Variables

Mankovich N., Durand H., Diaz E., Varando G. and Camps-Valls G.
arXiv preprint arXiv:2403.14228, Submitted
DOI Altimetric

Technical note on Large Scale Yield Forecasting v 1.0

Sabo F., Meroni M., Kerdiles H., Vojnovic P., Piles M., Munoz-Mari J., Mateo Sanchis A. and Rembold F.
2024
PDF

Live fuel moisture content estimates in the Western USA using radiometer-radar-lidar synergy

Chaparro D., Jagdhuber T., Piles M., Jonard F., Fluhrer A., Vall-llossera M., Camps A., López-Martínez C., Fernández-Morán R., Baur M. and others
2024
DOI

Causality is all you need

Camps-Valls G.
Dagstuhl Reports, 86, 2024
PDF DOI

Emerging Machine Learning Approaches for Process Understanding in Ecosystem Sciences I Oral

Kang Y., Bassiouni M., Keenan T., Jin Z. and Licheng L.
AGU24, 2024

Multimodal and multitemporal data fusion for flood extent segmentation exploiting Kurosiwo and WorldFloods Sentinel datasets

Portalés-Julià E., Bountos N., Sdraka M., Mateo-García G., Papoutsis I. and Gómez-Chova L.
IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 950–953, 2024
DOI

Microwave Remote Sensing Soil Moisture Opportunities with the Future CIMR Mission

Piles M., Link M., Fernandez-Moran R., Baur M., Jagdhuber T. and Entekhabi D.
IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 6697–6700, 2024
DOI

WALGREEN: Web Based Platform for Soil Organic Carbon Inference Applications

Aroca J., Pastor J., Latorre-Carmona P., Oneto A., Rad J., Camps-Valls G., Elvira V. and García-Osorio C.
IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 3992–3996, 2024
DOI

Drought Displacement Forecasts Can Be Improved With Twitter Data

Tárraga J., Piles M., Kamateri E., Marco E., Tsampoulatidis I., Muñoz-Marí J. and Camps-Valls G.
IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 3984–3987, 2024
DOI

A New Calibration of Soil Roughness Effects in the SMOS-IC Algorithm for Soil Moisture and VOD Retrievals

Preethi K., Li X., Fernandez-Moran R., Liu X., Xing Z., Frappart F., Piles M., Lanka K. and Wigneron J.
IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 6701–6704, 2024
DOI

Using a Deployable Analysis Environment to Study Continental-Scale Phenology at High-Spatial Resolution

Nattino F., Izquierdo-Verdiguier E., Chandramouli P., Grootes M., Ku O., Alidoost F. and Zurita-Milla R.
IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 996–999, 2024
DOI

Assessing the Causal Impact of Humanitarian Aid on Food Security

Cerdà-Bautista J., Tárraga J., Sitokonstantinou V. and Camps-Valls G.
IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 1546–1552, 2024
DOI

Live twinning: A vision of ml enabled assets in leo for rapid response to natural catastrophes

Parr J., Acciarini G., Bridges C., Mateo-Garcia G., Portales-Julia E., Purcell C., Ruzicka V., Spalding A. and Veitch-Michaelis J.
IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 685–688, 2024
DOI

Recurrent neural networks for modelling gross primary production

Montero D., Mahecha M., Martinuzzi F., Aybar C., Klosterhalfen A., Knohl A., Koebsch F., Anaya J. and Wieneke S.
IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 4214–4217, 2024
DOI

On-demand earth system data cubes

Montero D., Aybar C., Ji C., Kraemer G., Söchting M., Teber K. and Mahecha M.
IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 7529–7532, 2024
DOI

Learning from yields: Prevailing features for winter wheat yield variability and the role of farmers' management decisions

Giuliano Bernardini L., Bodner G., Hofer M. and Izquierdo-Verdiguier E.
EGU General Assembly Conference Abstracts, 10313, 2024
DOI

Combining citizen science and Earth observation data to produce global maps of 31 plant traits

Lusk D., Wolf S., Moreno Martínez Á., Kattge J., Sabatini F. and Kattenborn T.
EGU General Assembly Conference Abstracts, 2477, 2024
DOI

TRY-Plant Trait Database

Kattge J., Boenisch G., Dechant B., Moreno-Martínez Á., Kattenborn T., Díaz S., Lavorel S., Prentice I., Leadley P., Wirth C. and others
EGU General Assembly Conference Abstracts, 6174, 2024
DOI

Estimating Gross Primary Production via Recurrent Neural Networks: A comparative analysis

Montero D., Mahecha M., Martinuzzi F., Aybar C., Klosterhalfen A., Knohl A., Koebsch F., Anaya J. and Wieneke S.
EGU General Assembly Conference Abstracts, 6773, 2024
DOI

UNEP's Methane Alert and Response System (MARS): current status, new developments and case studies

Irakulis-Loitxate I., Randles C., Watine-Guiu M., Mateo-García G., Vaughan A., Demeter M., Cifarelli C., Guanter L., Maasakkers J., Aben I. and others
EGU General Assembly Conference Abstracts, 16048, 2024
DOI

Supervised Machine Learning for the Automatic Classification of Triggers from ASIM/MXGS on board the ISS

Adsuara J., Navarro-González J., Connell P., Reglero V., Østgaard N. and Neubert T.
EGU General Assembly Conference Abstracts, 15691, 2024
DOI

Advancements in Medicanes Tracking and Forecasting Using Artificial Intelligence

Martinez-Amaya J., Nieves V. and Muñoz-Marí J.
EGU General Assembly Conference Abstracts, 119, 2024
DOI

Global-scale plant trait-environment relationships based on sPlotOpen and TRY data

Dechant B., Pavlick R., Kattge J., Schneider F., Sabatini F., Moreno-Martinez A., Kattenborn T., Bruehlheide H. and Townsend P.
EGU General Assembly Conference Abstracts, 15797, 2024
DOI

Recent trends challenges and limitations of explainable ai in remote sensing

Höhl A., Obadic I., Fernández-Torres M., Oliveira D. and Zhu X.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 8199–8205, 2024
PDF

Satellite data towards the UN Ocean Decade Challenges: case studies and tutorials from EUMETSAT

Evers-King H., Loveday B., Rosmorduc V., Alvera-Azcarate A., Brando V., Ruescas A., Roebeling R., Chatterjee C. and Membrive O.
2024 Ocean Sciences Meeting, 2024

A Variable Selection Analysis for Soundscape Emotion Modeling Using Decision Tree Regression and Modern Information Criteria

Millán-Castillo S., Martino L., Morgado E. and others
2024
URL

Fun with Flags: Robust Principal Directions via Flag Manifolds

Mankovich N., Camps-Valls G. and Birdal T.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 330–340, 2024
URL

Measuring human-clip alignment at different abstraction levels

Hernández-Cámara P., Vila-Tomás J., Malo J. and Laparra V.
ICLR 2024 Workshop on Representational Alignment, 2024
URL

Overview of ACM SIGKDD 2024 AI4Science4AI Special Day

Ding W. and Camps-Valls G.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, New York, NY, USA, 6693–6694, 2024
URL DOI

Physics-aware emulators for atmospheric correction

Vicent J., Martino L. and Camps-Valls G.
Proceedings of the 3rd Workshop on International Cooperation in Spaceborne Imaging Spectroscopy – Hyperspectral 2024, ESA-ESTEC, Noordwijk, the Netherlands, 2024
DOI

Towards probabilistic aerosol retrievals with invertible neural networks

Pelucchi P., Vicent J. and Camps-Valls G.
Climate Informatics, London, UK, 2024
URL

Personalizing crop choice to increase soil organic carbon with causal inference

Tsoumas I., Giannarakis G., Sitokonstantinou V., Camps-Valls G. and Kontoes
EO for Agriculture Under Pressure 2024 Workshop, ESA/ESRIN, Frascati, Italy, 2024
URL DOI Altimetric

Operational Machine Learning Models for Nation-level Yield Predictions

Luna I., Sitokonstantinou V., Piles M., Munoz J., Camps-Vals G., Szabo P., Meroni M., Collivignarelli F., Vojnovic P., Kerdiles H., Rembold F., Zappacosta M. and others
EO for Agriculture Under Pressure 2024 Workshop, ESA/ESRIN, Frascati, Italy, 2024
URL

Evaluating the Causal Impact of Humanitarian Interventions on Food Insecurity in Climate-Vulnerable Regions of Africa

Cerdà J., Tarraga J., Sitokonstantinou V. and Camps-Valls G.
EO for Agriculture Under Pressure 2024 Workshop, ESA/ESRIN, Frascati, Italy, 2024
URL

Causal Graph Neural Networks for Wildfire Danger Prediction

Zhao S., Prapas I., Karasante I., Xiong Z., Papoutsis I., Camps-Valls G. and Zhu X.
Machine Learning for Remote Sensing Workshop in ICLR 2024, Vienna, AU, 2024
arXiv DOI Altimetric

Semiparametric Inference and Equation Discovery with the Bayesian Machine Scientist

Cohrs K., Varando G., Guimerà R., Sales-Pardo M. and Camps-Valls G.
AI for Differential Equations in Science Workshop in ICLR 2024, Vienna, AU, 2024
arXiv

Analyzing Climate Scenarios Using Dynamic Mode Decomposition With Control

Mankovich M., Bouabid S. and Camps-Valls G.
Dynamics, Data and Deep Learning workshop, Bristol, UK, 2024
URL DOI

Large Language Models for Causal Discovery in the Earth Sciences

al. G.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 14-19 April 2024, Vol. 26, 2024
URL PDF DOI

Evaluating Forest Resilience in Europe with Deep Learning Persistence Analysis

al. T.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 14-19 April 2024, Vol. 26, 2024
DOI

Spatio-temporal Nonlinear Quantile Regression for Heatwave Prediction and Understanding

al. D.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 14-19 April 2024, Vol. 26, 2024
DOI

Causal evaluation of humanitarian aid on food security

al. J.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 14-19 April 2024, Vol. 26, 2024
PDF DOI

Impact Predictability: Exploring Extremes in Biosphere Dynamics with Recurrent Neural Networks

al. F.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 14-19 April 2024, Vol. 26, 2024
DOI

Predicting Coastal Flooding in the Mediterranean with Remote Sensing and Machine Learning

al. A.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 14-19 April 2024, Vol. 26, 2024
DOI

Leveraging Crowd-sourced Biodiversity Data for an Enhanced Plant Functional Trait Mapping

al. A.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 14-19 April 2024, Vol. 26, 2024

Improving forest disturbance labels through Sentinel-1 change detection validation

al. F.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 14-19 April 2024, Vol. 26, 2024

Large Language Models for Constrained-Based Causal Discovery

Cohrs K., Diaz E., Sitokonstantinou V., Varando G. and Camps-Valls G.
AAAI 2024 Workshop on ``Are Large Language Models Simply Causal Parrots?'', 2024
PDF

Causality and Explainability for Trustworthy Integrated Pest Management

Tsoumas I., Sitokonstantinou V., Giannarakis G., Lampiri E., Athanassiou C., Camps-Valls G., Kontoes C. and Athanasiadis I.
NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning, 2023
arXiv

Learning Causal Representations with Granger Rotated PCA

Varando G., Durand H., Fernandez-Torres M., Munoz-Mari J., Piles M. and Camps-Valls G.
16th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2023), Berlin, Germany, 2023

Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction

Martínez-Ferrer L., Jungbluth A., Gallego-Mejia J., Allen M., Dorr F., Kalaitzis F. and Ramos-Pollán R.
2023
arXiv

Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data

Allen M., Dorr F., Gallego-Mejia J., Martínez-Ferrer L., Jungbluth A., Kalaitzis F. and Ramos-Pollán R.
2023
arXiv

Fewshot learning on global multimodal embeddings for earth observation tasks

Allen M., Dorr F., Gallego-Mejia J., Martínez-Ferrer L., Jungbluth A., Kalaitzis F. and Ramos-Pollán R.
2023
arXiv

Causal and explainable machine-learning models for hazard-induced displacement

Tarraga J., Sevillano E., Munoz-Mari J., Piles M. and Camps-Valls G.
World Climate Research Program, Kigali, Rwanda, 2023

Understanding food insecurity in Africa through data-driven causal inference methods

Cerdà J., Tarraga J., Sevillano E., Munoz-Mari J., Piles M. and Camps-Valls G.
World Climate Research Program, Kigali, Rwanda, 2023
PDF arXiv

Explainable Artificial Intelligence for Extreme Event Forecasting on Sentinel-2

Pellicer-Valero O., Fernández-Torres M. and Camps-Valls G.
EC-ESA Joint Earth System Science Initiative, Frascati, Italy, 2023

Biomass loss caused by wind disturbances in Amazonia

Gu R., Devadoss J., Ciais P., Wigneron J., Piles M., Leung R., Feng Z., Chambers J., Feng Y. and Gentine P.
AGU23, San Francisco, USA, 2023

Using Remote Sensing Observations to Infer Rooting Depth in the Amazon

Francina Dominguez C. and Piles M.
AGU23, 2023

Insights into weather-driven forest mortality with a cross-modal transformer

Mohit Anand L. and Zscheischler J.
AGU23, San Francisco, USA, 2023

Causal and Explainable Machine learning to understand disaster-induced displacement

José María Tárraga M. and Cerdá J.
AGU23, San Francisco, USA, 2023

Evaluating the Impact of Humanitarian Aid on Food Security

Cerdà-Bautista J., Tárraga J., Sitokonstantinou V. and Camps-Valls G.
https://arxiv.org/abs/2310.11287, 2023

A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images

Gulsen Taskin E. and Camps G.
Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. IEEE WHISPERS 2023, Athens, Greece, 1–4, 2023

Multi-fidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models

Vicent Servera J., Martino L., Verrelst J. and Camps-Valls G.
13th EARSeL Workshop on Imaging Spectroscopy, València, 1, 2023

Wildfire prediction and understanding with deep learning

Ronco M., Kondylatos S., Prapas I., Papoutsis I., Camps-Valls G., Piles M., Fernández-Torres M., Son R. and Carvalhais N.
IUGG 2023, AI for Natural Hazards and Disaster Management, Berlin, Germany, 1, 2023

Earth observation as a tool to assess climate migration and policy-making: legal aspects

Anthi Koskina M. and Camps-Valls G.
ICED2023, 4th International Conference on Environmental Design, ICED2023, Athens, Greece, 1–6, 2023

Guided Depth Completion Using Active Infrared Images in Time of Flight Systems

Achaibou A., Sanmartín-Vich N., Pla F. and Calpe J.
Iberian Conference on Pattern Recognition and Image Analysis, 323–335, 2023

AI for the Earth sciences

Camps-Valls G.
IAHR World Congress 2023, Vienna, Austria, 2023
PDF

Machine learning for modeling and understanding the Earth system

Camps-Valls G.
Summer school, ESSAI/ACAI 2023, Ljubljana, Slovenia, 2023
PDF

AI for Sustainable Earth Sciences

Camps-Valls G.
IbPRIA 2023, Alacant, 2023
PDF

Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean

Kondylatos S., Prapas I., Camps-Valls G. and Papoutsis I.
Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track, NeurIPS 2023, 2023
arXiv

TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting

Prapas I., Bountos N., Kondylatos S., Michail D., Camps-Valls G. and Papoutsis I.
ICCV 2023. Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop - AI + HADR 2023, Paris, France, 2023
arXiv

What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics

Namgyal T., Hepburn A., Santos-Rodriguez R., Laparra V. and Malo J.
2023
arXiv

Disentangling the Link Between Image Statistics and Human Perception

Hepburn A., Laparra V., Santos-Rodriguez R. and Malo J.
2023
arXiv

Analysis of Deep Image Quality Models

Hernández-Cámara P., Vila-Tomás J., Laparra V. and Malo J.
2023
arXiv

Psychophysics of Artificial Neural Networks Questions Classical Hue Cancellation Experiments

Vila-Tomás J., Hernández-Cámara P. and Malo J.
2023
arXiv

Evaluation of Dimensionality Reduction Approaches for Optical Water Type Classification using EnMAP

Amorós-López J., Ruescas A. and Camps-Valls G.
Machine Learning And Data Analysis In Oceanography. 2023 edition of the Liège Colloquium, University of Liège, Place du XX-Août, 7 - 4000 Liège - Belgium, 2023

Context-Specific Causal Discovery for Categorical Data Using Staged Trees

Leonelli M. and Varando G.
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, 206, 8871–8888, 2023
URL PDF

Graphs in State-Space Models for Granger Causality in Climate Science

Elvira V., Chouzenoux É., Cerdà-Bautista J. and Camps-Valls
CausalStats23: When Causal Inference meets Statistical Analysis, 2023
PDF arXiv

Explainability of end and mid-season cotton yield predictors in CONUS

Celik M., Isik M., Erten E. and Camps-Valls G.
2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2023

Regional transferability of deep learning models for landslide detection with SAR data

Prapas I., Leong W., Mahesh R., Boehm V., Papoutsis I., Camps-Valls G., Ganju S., Nemni E., Kalaitzis F. and Ramos-Pollan R.
2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2023

Wildfire danger forecasting with deep learning under label noise

Kondylatos S., Prapas I., Papoutsis I. and Camps-Valls G.
2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2023

deepextremes: Explainable Earth surface forecasting under compound climate extremes

Ji C., Benson V., Brandt G., Brockmann C., Camps-Valls G., Calabuig M., Fernández-Torres M., Fomferra N., Fincke T., Gans F., García G., Kraemer G. and others
2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2023

Regional transferability of deep learning models for landslide detection with SAR data

Prapas I., Papoutsis I., Leong W., Mahesh R., Boehm V., Camps-Valls G., Nemni E., Kalaitzis F. and Ramos-Pollan R.
2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2023

Onboard cloud detection and atmospheric correction with deep learning emulators

Mateo-García G., Aybar C., Acciarini G., Růžička V., Meoni G., Longépé N. and Gómez-Chova L.
2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2023

Lessons learned from CLOUDSEN12 dataset: Identifying incorrect annotationsl in cloud semantic segmentation datasets

Aybar C., Mateo-García G., Gómez-Chova L. and Montero D.
2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2023

On the Potential of Active and Passive Microwave Remote Sensing for Tracking Seasonal Dynamics of Evapotranspiration

Jagdhuber T., Fluhrer A., Chaparro D., Hellwig F., Mueller M., Dubios C., Schellenberg K., Boehm M., Bayat B., Montzka C., Ramati M., Baur M. and others
2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2023

Water Dynamics in the Soil-Plant-Atmosphere Continuum Based on Time-Lagged Correlations of Satellite Data

Chaparro D., Jagdhuber T., Jonard F., Baur M., Feldman A., Piles M., Gianotti D. and Entekhabi D.
2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2023

Land Surface Model Calibration for the Future CIMR Mission

Fernandez-Moran R., Piles M., Gómez-Chova L., Entekhabi D., Wigneron J., Li X., Jagdhuber T. and Baur M.
2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2023

Multi-Frequency Radiometry for Multi-Year Monitoring of Relative Water Content in a Temperate Forest

Hellwig F., Dubois C., Schellenberg K., Schmullius C., Jagdhuber T., Fluhrer A., Chaparro D., Piles M. and Entekhabi D.
2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2023

Estimation of Gravimetric Vegetation Moisture in the Western United States Using a Multi-Sensor Approach

Chaparro D., Jagdhuber T., Fluhrer A., Piles M., Fernández-Morán R., Jonard F., Vall-llossera M., Camps A., López-Marínez C., Baur M., Feldman A. and Entekhabi D.
2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2023

Wildfire danger forecasting with deep learning under label noise

Kondylatos S., Prapas I., Papoutsis I. and Camps-Valls G.
2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2023

Study of ENMAP imagery for the application of methods for Phytoplankton Functional Types determination in coastal waters

Ruescas A., Garcia-Jimenez J., Mueller D., Brockmann C., Amoros J. and Stelzer K.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-28 April 2023, Vol. 25, 2023

USCC: A Benchmark Dataset for Crop Yield Prediction under Climate Extremes

Höhl A., Ofori-Ampofo S., Obadic I., Fernández-Torres M., Kuzu R. and Zhu X.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-28 April 2023, Vol. 25, 2023

Double machine learning for geosciences

Cohrs K., Varando G., Carvalhais N., Reichstein M. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-28 April 2023, Vol. 25, 2023

Causal inference to study food insecurity in Africa

Cerdà-Bautista J., Tárraga J., Varando G., Arribas A., Shepherd T. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-28 April 2023, Vol. 25, 2023

Learning causal drivers of PyroCb

Porras E., Varando G., Iglesias-Suarez F., Camps-Valls G., Tazi K., Lamb K. and Watson-Parris D.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-28 April 2023, Vol. 25, 2023

Identifying compound weather prototypes of forest mortality with beta-VAE

al. M.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-28 April 2023, Vol. 25, 2023

Enhanced and gap-free Sentinel-2 reflectance data at vast scales with GEE

al. E.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-28 April 2023, Vol. 25, 2023

xaida4Detection: A Toolbox for the Detection and Characterization of Spatio-Temporal Extreme Events

Cortés-Andrés J., Gonzalez-Calabuig M., Zhang M., Williams T., Fernández-Torres M., Pellicer-Valero O. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-28 April 2023, Vol. 25, 2023

Invertible neural networks for satellite retrievals of aerosol optical depth

Pelucchi P., Vicent J., Johnson J., Stier P. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-28 April 2023, Vol. 25, 2023

Physics-Aware Machine Learning for Carbon Fluxes at High Spatio-Temporal Resolution and Scales

Martínez-Ferrer L., Moreno-Martínez Á., Muñoz-Marí J., Izquierdo-Verdiguier E., Kimball J., Running S., Clinton N. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-28 April 2023, Vol. 25, 2023

An AI hybrid predictive tool for extreme hurricane forecasting

Amaya J., Radin C., Nieves V., Longépé N. and Muñoz-Marí J.
2023

Estimating non-linear persistence for impact assessment in European forests

Williams T., Mahecha M. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-28 April 2023, Vol. 25, 2023

Gaussian Processes for vegetation traits global mapping

Martínez-Ferrer L., Moreno-Martínez Á., Muñoz-Marí J., Meyer H., Ludwig M. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-28 April 2023, Vol. 25, 2023

Invertible neural networks for satellite retrievals of aerosol optical depth

Pelucchi P., Vicent J., Johnson J., Stier P. and Camps-Valls G.
EGU General Assembly Conference Abstracts, EGU–7465, 2023
DOI

Orthonormal Convolutions for the Rotation Based Iterative Gaussianization

Laparra V., Hepburn A., Johnson J. and Malo J.
2022 IEEE International Conference on Image Processing (ICIP), 4018–4022, 2022
DOI

Revisiting impacts of MJO on soil moisture: a causality perspective

Bueso D., Piles M., Székely E. and Camps-Valls G.
Authorea Preprints, 2022

Emerging Machine Learning Approaches for Process Understanding in Ecosystem Sciences III Oral

Kang Y., Keenan T., Camps-Valls G., Gentine P. and Bassiouni M.
Fall Meeting 2022, 2022

A global synthesis of biomass loss due to wind disturbances during 2016-2018

Gu R., Devadoss J., Ciais P., Wigneron J., Piles M. and Gentine P.
Fall Meeting 2022, 2022

Quantifying the global representativeness of foliar trait observations: current state and future potential

Dechant B., Pavlick R., Kattge J., Schneider F., Butler E., Moreno A., Leitão P., van Bodegom P., Vallicrosa H., Kattenborn T. and others
Fall Meeting 2022, 2022

Identifying the Causes of Pyrocumulonimbus (PyroCb)

Díaz Salas-Porras E., Tazi K., Braude A., Okoh D., Lamb K., Watson-Parris D., Harder P. and Meinert N.
NeurIPS 2022 Workshop-Causality for Real-world Impact, 2022
arXiv

Physics-aware Machine learning for Earth observation

Camps-Valls G.
NeurIPS 2022 Workshop-Tackling Climate Change with Machine Learning, 2022
PDF

Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds

Tazi K., Díaz Salas-Porras E., Braude A., Okoh D., Lamb K., Watson-Parris D., Harder P. and Meinert N.
NeurIPS 2022 Workshop-Tackling Climate Change with Machine Learning, 2022
arXiv

Hybrid Recurrent Neural Network for Drought Monitoring

Zhang M., Fernández-Torres M. and Camps-Valls G.
NeurIPS 2022 Workshop-Tackling Climate Change with Machine Learning, 2022

Identifying Compound Climate Drivers of Forest Mortality with β-VAE

Anand M., Sweet L., Camps-Valls G. and Zscheischler J.
NeurIPS 2022 Workshop-Tackling Climate Change with Machine Learning, 2022

Learning Causal Representations with Granger PCA

Varando G., Fernández-Torres M., Muñoz-Marí J. and Camps-Valls G.
Causal Representation Learning Workshop @UAI'22, Eindhoven, The Netherlands, 2022
URL DOI

The Kernelized Taylor Diagram

Kristoffer Wickstrøm J. and Jenssen R.
2022 symposium of the Norwegian AI Society, 31 May-1 June 2022, Oslo, Norway, 2022
URL DOI

Exploiting Spatial and Temporal Information with ConvLSTM Networks for Cloud Detection over Landmarks

López-Puigdollers D., Pérez-Suay A., Mateo-García G. and Gómez-Chova L.
Living Planet Symposium, 23-27 May 2022, Bonn, Germany, 2022
DOI

Hyperspectral remote sensing data compression with neural networks

i Verdú S., Ballé J., Laparra V., Rapesta J., Hernández-Cabronero M. and Serra-Sagristá J.
2022 Data Compression Conference (DCC), 476–476, 2022

Synergistic exploitation of PV-CC in combination with Sentinel-2 towards a machine learning based atmospheric correction

Gómez-Chova L., Mateo-García G., Laparra V., Portales-Julià E. and Niro F.
Living Planet Symposium, 23-27 May 2022, Bonn, Germany, 2022
DOI

Flood extent segmentation and cloud screening on Sentinel-2 images for emergency response services

Mateo-García G., Portales-Julià E. and Gómez-Chova L.
Living Planet Symposium, 23-27 May 2022, Bonn, Germany, 2022
DOI

Large-scale machine learning techniques for vegetation traits estimation: opportunities for the CHIME mission

Pascual-Venteo A., Portales-Julià E., Pérez-Suay A. and Verrelst J.
Living Planet Symposium, 23-27 May 2022, Bonn, Germany, 2022
DOI

A two-stage machine learning framework using global satellite data of cloud classes for process-oriented model evaluation

Kaps A., Lauer A., Camps-Valls G., Gentine P., Gómez-Chova L. and Eyring V.
Living Planet Symposium, 23-27 May 2022, Bonn, Germany, 2022
DOI

Carbon fluxes estimation at scale: long-term, continuous, high spatial resolution with uncertainties at continental scales

Martínez-Ferrer L., Moreno‑Martínez A., Kimball J., Running S., Clinton N. and Camps-Valls G.
Living Planet Symposium, 23-27 May 2022, Bonn, Germany, 2022
DOI

Characterizing the Earth complex dynamical system through spectral decomposition of kernel transfer operators

Adsuara J., Varando G., Pérez-Suay A., Cohrs K., Díaz E., Bueso D. and Camps-Valls G.
Living Planet Symposium, 23-27 May 2022, Bonn, Germany, 2022
DOI

Deep Learning Methods for Daily Wildfire Danger Forecasting

Kondylatos S., Prapas I., Papoutsis I., Camps-Valls G., Ronco M., Fernández-Torres M., Piles M. and Carvalhais N.
Living Planet Symposium, 23-27 May 2022, Bonn, Germany, 2022
DOI

DeepExtremes - Deploying Artificial Experiments on High-Resolution Data Cubes for explaining extreme event impacts

Mahecha M., Gans F., Camps-Valls G., Gunnar B., Kraemer G., Mora K., Fernández-Torres M., RequenA C., Benson V., Reichstein M., Brockmann C. and Ronco M.
Living Planet Symposium, 23-27 May 2022, Bonn, Germany, 2022
DOI

Explaining Deep Learning Models for Earth Surface Forecasting

Fernández-Torres M., Ronco M., Benson V., Requena C., Mahecha M. and Camps-Valls G.
Living Planet Symposium, 23-27 May 2022, Bonn, Germany, 2022
DOI

Representation learning in remote sensing: from unsupervised, to self-and meta-learning

Tuia D., Zhu X., Molinier M. and Camps-Valls G.
Living Planet Symposium, 23-27 May 2022, Bonn, Germany, 2022
DOI

Short and long-term persistence in European vegetation

Williams T., Mahecha M. and Camps-Valls G.
Living Planet Symposium, 23-27 May 2022, Bonn, Germany, 2022
DOI

Understanding Neural Networks for Crop Yield Estimation

Mateo-Sanchis A., Adsuara J., Pérez-Suay A., Piles M., Muñoz-Marí J. and Camps-Valls G.
Living Planet Symposium, 23-27 May 2022, Bonn, Germany, 2022
DOI

Validation of Sentinel-2 Atmospheric Correction Using Radiative Transfer Models Emulators

Malik D., Rivero-Caicedo J., Verrelst J., Martino L., Camps-Valls G., Berthelot B. and Servera J.
Living Planet Symposium, 23-27 May 2022, Bonn, Germany, 2022
DOI

A two-stage machine learning framework using global satellite data of cloud classes for process-oriented model evaluation

Kaps A., Lauer A., Camps-Valls G., Gentine P., Gómez-Chova L. and Eyring V.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-27 May 2022, Vol. 24, 2022
DOI

Exploring cirrus cloud microphysical properties using explainable machine learning

Jeggle K., Neubauer D., Camps-Valls G., Binder H., Sprenger M. and Lohmann U.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-27 May 2022, Vol. 24, 2022
DOI

A classification of artificial intelligence systems for mathematics education

Van Vaerenbergh S. and Pérez-Suay A.
Mathematics Education in the Age of Artificial Intelligence, 89–106, 2022
DOI

ClimateBench: A benchmark for data-driven climate projections

Watson-Parris D., Rao Y., Olivié D., Seland Ø., Nowack P., Camps-Valls G., Stier P., Bouabid S., Dewey M., Fons E. and others
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-27 May 2022, Vol. 24, 2022
DOI

Machine learning to quantify cloud responses to aerosols from satellite data

Gonzalez J., Sourdeval O., Camps-Valls G. and Quaas J.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-27 May 2022, Vol. 24, 2022
DOI

Carbon fluxes estimation with aleatoric and epistemic uncertainties at high spatial resolution over large areas

Martínez-Ferrer L., Moreno-Martínez Á., Kimball J., Running S., Clinton N. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-27 May 2022, Vol. 24, 2022
DOI

Inspecting the link between climate and human displacement with Explainable AI and Causal inference

Habas J., Ronco M., Miranda M., Marco E., Wang Q., Piles M., Muñoz J. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-27 May 2022, Vol. 24, 2022
DOI

Highly efficient structural learning of sparse staged trees

Leonelli M. and Varando G.
International Conference on Probabilistic Graphical Models, 193–204, 2022

Learning ENSO-related Principal Modes of Vegetation via a Granger-Causal Variational Autoencoder

Varando G., Fernández-Torres M. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-27 May 2022, Vol. 24, 2022
DOI

Time-dependent Hillshades: Dispelling the Shadow Curse of Machine Learning Applications in Earth Observation

Kalaitzis F., Mateo-Garcia G., Dobbs K., Garcia D., Stoker J. and Marchisio G.
2022

Explainable deep learning for wildfire danger estimation

Ronco M., Prapas I., Kondylatos S., Papoutsis I., Camps-Valls G., Fernández-Torres M., Piles Guillem M. and Carvalhais N.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-27 May 2022, Vol. 24, 2022
DOI

Recent Advances in Deep Learning for Spatio-Temporal Drought Monitoring, Forecasting and Model Understanding

González-Calabuig M., Cortés-Andrés J., Fernández-Torres M. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-27 May 2022, Vol. 24, 2022
DOI

UNDERSTANDING THE STYLE TRANSFER DEEP-LEARNING TECHNIQUE THROUGH A WEB DASHBOARD

Jaén-Lorites J., Pérez-Pelegrí M., Laparra V. and Moratal D.
INTED2022 Proceedings, 8914–8919, 2022

Identifying drivers of extreme reductions in carbon uptake of forests with interpretable machine learning

Anand M., Camps-Valls G. and Zscheischler J.
EGU General Assembly, Geophysical Research Abstracts, Hybrid, 23-27 May 2022, Vol. 24, 2022
DOI

Incidence Angle Diversity on L-Band Microwave Radiometry and Its Impact on Consistent Soil Moisture Retrievals

Portal G., Vall-llossera M., Jagdhuber T., Camps A., Pablos' M. and Piles M.
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 6186–6189, 2021
DOI

Global L-Band Vegetation Volume Fraction Estimates for Modeling Vegetation Optical Depth

Chaparro D., Jagdhuber T., Piles M., Entekhabi D., Jonard F., Fluhrer A., Feldman A., Vall-llossera M. and Camps A.
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 6399–6402, 2021
DOI

Retrieval of Forest Water Potential from L-Band Vegetation Optical Depth

Jagdhuber T., Fluhrer A., Schmidt A., Jonard F., Chaparro D., Meyer T., Holtzman N., Konings A., Feldman A., Baur M., Piles M. and Entekhabi D.
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 5949–5952, 2021
DOI

Synergistic use of SMOS and Sentinel-3 for retrieving spatiotemporally estimates of surface soil moisture and evaporative fraction

Piles M., Pablos Hernandez M., Vall-llossera M., Portal G., Sandric I., Petropoulos G. and Hristopulos D.
EGU General Assembly Conference Abstracts, EGU21–16478, 2021
DOI

Unsupervised change detection of extreme events using ML on-board

Růžička V., Vaughan A., Martini D., Salvatell J., Bridges C., Mateo-Garcia G. and Zantedeschi V.
NeuIPS2021 AI+HADR workshop, 2021
URL

Deep Learning Methods for Daily Wildfire Danger Forecasting

Prapas I., Kondylatos S., Papoutsis I., Camps-Valls G., Ronco M., Fernández-Torres M., Guillem M. and Carvalhais N.
NeuIPS2021 AI+HADR workshop, 2021
URL arXiv

Unified Vegetation Index for Quantifying the Terrestrial Biosphere

Camps-Valls, G., Campos-Taberner, M., Moreno-Martínez, Á., Walther, S., Duveiller, G., Cescatti, A. and others
AGU American Geophysical Union, New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting, 2021
URL

Climate-Induced Displacement with Explainable Machine Learning Models

Tárraga J., Ronco M., Maria Teresa Miranda and M., Marco E., Muñoz J. and Camps-Valls G.
AGU American Geophysical Union, New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting, 2021
URL

Learning Granger Causal Feature Representations

Varando G., Fernández-Torres M. and Camps-Valls G.
AGU American Geophysical Union, New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting, 2021
URL

Long-time record and continuous high resolution gross primary productivity estimates at continental scales

Moreno Á., Martínez-Ferrer L., Kimball J., Jung M., Reichstein M., Running S., Clinton N. and Camps-Valls G.
AGU American Geophysical Union, New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting, 2021
URL

Reconstruction of Seasonal Interaction of Soil Moisture and Tree Water Content Over Boreal Forests

Bueso D., Piles M., Moreno Á., Camps-Valls G., Frappart F., Wigneron J. and Ciais P.
AGU American Geophysical Union, New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting, 2021
URL

Location-Aware Convolutional Encoder-Decoder for Drought Detection in Europe

Cortés-Andrés J., Fernández-Torres M. and Camps-Valls G.
AGU American Geophysical Union, New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting, 2021
URL

Intercomparing Global Foliar Trait and Canopy Height Maps: Upscaling Approaches and Spatial Patterns

Dechant B., Pavlick R., Kattge J., Schneider F., Butler E., Moreno A., Bodegom P., Vallicrosa H., Kattenborn T., Boonman C., Zaehle S., Madani N. and others
AGU American Geophysical Union, New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting, 2021
URL

A new machine learning approach for regional sea level reconstructions using proxy-climate fingerprints

Radin C. and Nieves V.
AGU American Geophysical Union, New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting, 2021
URL

Clouds aware flood extent segmentation for emergency response services

Mateo-Garcia G., Portales E., Liu F., Nemni E., Johnson J., Kruitwagen L., Schumann G. and Gómez-Chova L.
AGU American Geophysical Union, New Orleans LA USA & Online, 13-17 December 2021, https://www.agu.org/Fall-Meeting, 2021
URL

Learning Granger Causal Feature Representations

Varando G., Fernández-Torres M. and Camps-Valls G.
International Conference on Machine Learning - Workshop on Tackling Climate Change with Machine Learning, 2021
arXiv Watch!

deepcube: Explainable AI Pipelines for Big Copernicus data

Papoutsis I., Baglatzi A., Touloumtzi S., Reichstein M., Carvalhais N., Gans F., Camps-Valls G., Piles M., Kakantousis T., Dowling J., Koubarakis M., Bilidas D. and others
BiDS Big Data from Space, Online Everywhere, https://www.bigdatafromspace2021.org/, 2021
URL

The CIMR mission and its unique capabilities for soil moisture sensing

Piles M., Fernández-Moran R., Gómez-Chova L., Camps-Valls G., Entekhabi D., Baur M., Jagdhuber T., Wigneron J., Prigent C. and Donlon C.
EGU General Assembly, Geophysical Research Abstracts, Online, 19-30 April 2021, Vol. 23, 2021
URL DOI

Aerosol Optical Depth Retrievals with Invertible Neural Networks

Pelucchi P., Stier P. and Camps-Valls G.
AGU Fall Meeting 2021, 2021
URL

Gaussianization for Multivariate, High-dimensional Earth Observation data Analysis

Johnson J., Piles M., Laparra V. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Online, 19-30 April 2021, Vol. 23, 2021
URL DOI

Generalization of Vegetation Indices for Monitoring the Terrestrial Biosphere

Camps-Valls G., Campos-Taberner M., Moreno-Martinez A., Walther S., Duveiller G., Cescatti A., Mahecha M., Muñoz-Marí J., García-Haro F., Guanter L., Gamon J., Jung M. and others
EGU General Assembly, Geophysical Research Abstracts, Online, 19-30 April 2021, Vol. 23, 2021
URL DOI

Spatio-Temporal Gaussianization Flows for Extreme Event Detection

Fernández-Torres M., Johnson J., Piles M. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Online, 19-30 April 2021, Vol. 23, 2021
URL DOI

Upscaling plant traits to ecosystem level: blending local biodiversity, global traits databases, and remote sensing data

Moreno-Martínez Á., Adsuara J., Muñoz-Marí J., Izquierdo-Verdiguier E., Katge J., Carvalhais N., Reichstein M., Running S. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Online, 19-30 April 2021, Vol. 23, 2021
URL DOI

Epistemic and aleatoric uncertainty maps in high resolution biophysical parameter retrieval

Laura Martínez-Ferrer Á. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Online, 19-30 April 2021, Vol. 23, 2021
URL DOI

Atmospheric Correction Of Satellite Data Based On Emulation Of Atmospheric Radiative Transfer Models

Vicent J., Verrelst J., Rivera Caicedo J., Muñoz Marí J., Camps Valls G. and Berthelot B.
IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021

The Reprocessed Proba-V Collection 2: Product Validation

Toté C., Swinnen E., Sterckx S., Benhadj I., Dierckx W., Gómez-Chova L., Ramon D., Stelzer K., Van den Heuvel L., Clarijs D. and others
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 8084–8086, 2021

Physics-Aware Machine Learning For Geosciences And Remote Sensing

Camps-Valls G., Svendsen D., Cortés J., Moreno-Martínez A., Pérez-Suay A., Adsuara J., Martin I., Piles M., Muñoz-Marí J. and Luca Martino L.
IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021

Deep Learning And Remote Sensing For Urban Sustainability

Camps Valls G.
IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021

Global Cropland Production Monitoring With Gaussian Processes

Piles M., Mateo-Sanchís A., Muñoz-Marí J., Camps-Valls G., Waldner F., Rembold F. and Meroni M.
IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021

Global Upscaling Of The MODIS Land Cover With Google Earth Engineand Landsat Data

Izquierdo-Verdiguier E., Moreno-Martinez A., Adsuara J., Muñoz-Marí J., Camps-Valls G., Maneta M., Kimball J., Clinton N. and Running S.
IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021

Towards A Better Understanding Of Effective Temperature Modelling In The SMOS-IC Retrieval Algorithm

Fernandez-Moran R., Camps-Valls G., Piles M., Jean-Pierre W., Xiaojun L., Mengjia W., Fan L., Al-Yaari A. and Gómez-Chova L.
IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021

RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks

Johnson J., Sundaresan S., Daylan T., Gavilan L., Giles D., Silva S., Jungbluth A., Morris B. and Muñoz-Jaramillo A.
NeurIPS Machine Learning and the Physical Sciences, Online Everywhere, https://ml4physicalsciences.github.io/2020/, 2020
arXiv

Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion

Garcia D., Mateo-Garcia G., Bernhardt H., Hagensieker R., Lopez-Francos I., Stock J., Schumann G., Dobbs K. and Kalaitzis A.
NeurIPS AI for Earth Sciences, 2020
arXiv

Understanding Climate Impacts on Vegetation with Gaussian Processes in Granger Causality

Morata M., Bueso D., Piles M. and Camps-Valls G.
NeurIPS AI for Earth Sciences, Online Everywhere, https://ai4earthscience.github.io/neurips-2020-workshop/, 2020
arXiv

Learning drivers of climate-induced human migrations with Gaussian processes

Tarraga J., Piles M. and Camps-Valls G.
NeurIPS ML for Development, Online Everywhere, https://sites.google.com/view/ml4d, 2020
arXiv

Early crop mapping at continental scales derived from reconstructed high spatial resolution images

Clara Rajadel E. and Running S.
AGU Fall Meeting, Online Everywhere, 2020
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High spatial resolution gap free biophysical variables for Earth Observation at continental scales with Google Earth Engine

Laura Martínez-Ferrer A. and Camps-Valls G.
AGU Fall Meeting, Online Everywhere, 2020
URL

Machine Learning Based Process-oriented Earth System Model Evaluation

Veronika Eyring G. and Schlund M.
AGU Fall Meeting, Online Everywhere, 2020
URL

Satellite and model-based data integration for crop yield estimation and interpretability in Europe

Anna Mateo-Sanchis M. and Camps-Valls G.
AGU Fall Meeting, Online Everywhere, 2020
URL

Channel Capacity in Psychovisual Deep-Nets: Gaussianization Versus Kozachenko-Leonenko

Malo J.
Innovations in Computational Intelligence and Computer Vision, 77–84, 2021

Gaussianization of Earth Observation data - Invertible Transformations for Multidimensional Data Analysis

J. Emmanuel Johnson M. and Camps-Valls G.
AGU Fall Meeting, Online Everywhere, 2020
URL

The Causality for Climate Competition

Runge J., Tibau X., Bruhns M., Muñoz-Marí J. and Camps-Valls G.
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 123, 110–120, 2020
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ELLIS Workshop on Machine Learning in Earth and Climate Sciences

Camps-Valls G. and Reichstein M.
https://opc.mfo.de/show_workshop?id=3575, Oberwolfach, Germany, 2020
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Physics-aware Nonlinear Modeling and Inference from Earth Data

Jordi Cortes-Andres A. and Camps-Valls G.
AGU Fall Meeting, Online Everywhere, 2020
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Quantifying the impact of 2015-2016 ENSO over global soil and vegetation water content by causality models

Diego Bueso M. and Camps-Valls G.
AGU Fall Meeting, Online Everywhere, 2020
URL

Strengthening our knowledge on regional sea level rise through proxy data and machine learning

Veronica Nieves C. and Camps-Valls G.
AGU Fall Meeting, Online Everywhere, 2020
URL

Living in the Physics and Machine Learning Interplay - An AI agenda with examples for the DTE

Camps-Valls G.
The ESA Phi-week 2020, ESA-ESRIN, Italy, 2020
PDF Watch!

Living in the Physics – Machine Learning Interplay for Earth Observation

Camps-Valls G., Svendsen D., Cortes-Andres J., Moreno-Martinez J., Perez-Suay A., Adsuara J., Martin I., Piles M., Munoz-Mari J. and Martino L.
AAAI Fall Series 2020 Symposium on Physics-guided AI for Accelerating Scientific Discovery, 2020

The Causality for Climate Competition

Jakob Runge J., Xavier-Andoni T., Bruhns M., Muñoz-Marí J. and Camps-Valls G.
JMLR: Workshop and Conference Proceedings. 2020 NeurIPS2019 Competition & Demonstration Track PMLR Post-proceedings, 2020
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Estimation of Oceanic Particulate Organic Carbon with Machine Learning

Sauzède R., Johnson J., Claustre H., Camps-Valls G. and Ruescas A.
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2, 949–956, 2020

Manifold Learning With High Dimensional Model Representations

Taskin G. and Camps-Valls G.
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, Hawaii, USA, 2020

Advancing Deep Learning For Earth Sciences: From Hybrid Modeling To Interpretability

Camps-Valls G., Reichstein M., Zhu Z. and Tuia D.
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, Hawaii, USA, 2020
PDF Watch!

Discovering Differential Equations from Earth Observation Data

Adsuara J., Perez-Suay A., Moreno-Martínez A., Camps-Valls G., Kraemer G., Reichstein M. and Mahecha M.
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, Hawaii, USA, 2020

Interpretability of Recurrent Neural Networks in Remote Sensing

Perez-Suay A., Adsuara J., Piles M., Martinez-Ferrer L., Diaz E., Moreno-Martinez A. and Camps-Valls G.
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, Hawaii, USA, 2020

Down-Scaling MODIS Vegetation Products With Landsat Gap Filled Surface Reflectance In Google Earth Engine

Moreno-Martinez A., Izquierdo-Verdiguier E., Camps-Valls G., Maneta M., Muñoz-Marí J., Robinson N., Adsuara J., Campos M., García-Haro J., Perez A., Clinton N., Kimball J. and others
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, Hawaii, USA, 2020

Adaptive sequential interpolator using active learning for efficient emulation of complex systems

Martino L., Svendsen D., Vicent J. and Camps-Valls G.
45th IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), 4-8 May 2020, Barcelona, 2020
URL

Particle group metropolis methods for tracking the leaf area index

Martino L., Elvira V. and Camps-Valls G.
45th IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), 4-8 May 2020, Barcelona, 2020
URL

Multisensor crop yield estimation with machine learning

Laura Martínez Ferrer M. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Vienna, Austria, 3-8 May 2020, Vol. 22, 2020
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Learning ordinary differential equations from remote sensing data

Jose E. Adsuara A. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Vienna, Austria, 3-8 May 2020, Vol. 22, 2020
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Learning main drivers of crop dynamics and production in Europe

al. A.
EGU General Assembly, Geophysical Research Abstracts, Vienna, Austria, 3-8 May 2020, Vol. 22, 2020
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Unraveling the time-scale teleconnections between soil moisture and vegetation

Diego Bueso M. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Vienna, Austria, 3-8 May 2020, Vol. 22, 2020
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Advances in Gaussian Processes for Earth Sciences: Physics-aware, interpretability and consistency

Gustau Camps-Valls D. and Muñoz-Marí J.
EGU General Assembly, Geophysical Research Abstracts, Vienna, Austria, 3-8 May 2020, Vol. 22, 2020
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Spectroscopic retrieval of above-ground crop nitrogen content with a hybrid machine learning regression method

Katja Berger G. and Hank T.
EGU General Assembly, Geophysical Research Abstracts, Vienna, Austria, 3-8 May 2020, Vol. 22, 2020

Constraining uncertainty in projected gross primary production with machine learning

al. M.
EGU General Assembly, Geophysical Research Abstracts, Vienna, Austria, 3-8 May 2020, Vol. 22, 2020

Gross Primary Production and False Spring: a spatio-temporal analysis

Emma Izquierdo-Verdiguier R. and Running S.
EGU General Assembly, Geophysical Research Abstracts, Vienna, Austria, 3-8 May 2020, Vol. 22, 2020

Explainable deep learning to predict and understand crop yield estimates

Aleksandra Wolanin G. and Guanter L.
EGU General Assembly, Geophysical Research Abstracts, Vienna, Austria, 3-8 May 2020, Vol. 22, 2020
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Down-scaling MODIS operational vegetation products with machine learning and fused gap-free high resolution reflectance data in Google Earth Engine

al. Á.
EGU General Assembly, Geophysical Research Abstracts, Vienna, Austria, 3-8 May 2020, Vol. 22, 2020
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Analysis of water dynamics in the soil-plant-atmosphere continuum using a multi-sensor approach

David Chaparro T. and Vall-llossera M.
EGU General Assembly, Geophysical Research Abstracts, Vienna, Austria, 3-8 May 2020, Vol. 22, 2020
PDF

Inferring causal graphs from observational long-term carbon and water fluxes records

Gustau Camps-Valls E. and Running S.
AGU Fall Meeting, San Francisco, USA, 2019

Revisiting impacts of MJO on soil moisture: a causality perspective

Bueso D., Piles M. and Camps-Valls G.
AGU Fall Meeting, San Francisco, USA, 2019

Climate Model Intercomparison with Multivariate Information Theoretic Measures

Johnson J., Laparra V., Nowack P., Runge J. and Camps-Valls G.
AGU Fall Meeting, San Francisco, USA, 2019

New opportunities for developing high spatial resolution land products derived from gap free Landsat reflectance time series in Google Earth Engine

Alvaro Moreno E. and Running S.
AGU Fall Meeting, San Francisco, USA, 2019

Cross-Information Kernel Causality: Revisiting global teleconnections of ENSO over soil moisture and vegetation

Bueso D., Piles M. and Camps-Valls G.
Climate Informatics 2019, Paris, France, 2019

Multivariate Gaussianization in Earth and Climate Sciences

Johnson J., Piles M., Laparra V. and Camps-Valls G.
Climate Informatics 2019, Paris, France, 2019

Reducing uncertainties in projected gross primary production using gradient boosted regression trees

Schlund M., Eyring V., Camps-Valls G., Friedlingstein P., Gentine P. and Reichstein M.
Climate Informatics 2019, Paris, France, 2019

Physics-aware Machine Learning in Earth Observation

Camps-Valls G., Svendsen D., Pérez-Suay A., Diaz E., Martino L., Li Z. and Sejdinovic D.
The Phi-week - EO Open Science and Future EO, ESA-ESRIN, Italy, 2019

Inferring Causal Relations in Earth Observation: Methods, Applications and a Web-platform

Camps-Valls G., Muñoz-Marí J., Diaz E., Pérez-Suay A., Moreno A., Sejdinovic D. and Runge J.
The Phi-week - EO Open Science and Future EO, ESA-ESRIN, Italy, 2019

Flood Detection On Low Cost Orbital Hardware

Mateo-Garcia G., Oprea S., Smith L., Veitch-Michaelis J., Schumann G., Gal Y., Baydin A. and Backes D.
Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, 2019
URL

Domain Adaptation of Landsat-8 and Proba-V Data Using Generative Adversarial Networks for Cloud Detection

Mateo-García G., Laparra V. and Gómez-Chova L.
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 712–715, 2019
DOI

Mapping Carbon Stocks In Central And South America With Smap Vegetation Optical Depth

Chaparro D., Duveiller G., Piles M., Vall-llossera M., Cescatti A., Camps A. and Entekhabi D.
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 5449–5452, 2019
DOI

Influence of Quality Filtering Approaches in BEC SMOS L3 Soil Moisture Products

Pablos M., Vall-llossera M., Piles M., Camps A., González-Haro C., Turiel A., Herbert C., Chaparro D. and Portal G.
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 6941–6944, 2019
DOI

Inferring causal graphs from observational long-term carbon and water fluxes records

Running S., Camps-Valls G., Diaz E., Piles M., Adsuara J., Moreno A., Gentine P., Jung M. and Reichstein M.
AGU Fall Meeting Abstracts, 2019, B21G–2408, 2019
URL

Estimation Of Volume Fraction And Gravimetric Moisture Of Winter Wheat Based On Microwave Attenuation: A Field Scale Study

Meyer T., Jagdhuber T., Piles M., Fluhrer A. and Jonard F.
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 5453–5456, 2019
DOI

Convolutional Long Short-Term Memory Network for Multitemporal Cloud Detection Over Landmarks

Mateo-García G., Adsuara J., Pérez-Suay A. and Gómez-Chova L.
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 210–213, 2019
DOI

Hybrid Anomaly Detection to Extract Extreme Events

al. J.
The Phi-week - EO Open Science and Future EO, ESA-ESRIN, Italy, 2019

Emulation for approximating radiative transfer modeling: computational efficiency and sensitivity analysis

Verrelst J., Johnson E., Morcillo P., Vicent J., Ferrer L., Rivera J. and Camps-Valls G.
The Phi-week - EO Open Science and Future EO, ESA-ESRIN, Italy, 2019

Information Theory in Density Destructors

Johnson E., Laparra V., Santos R., Camps-Valls G. and Malo J.
International Conference on Machine Learning - Workshop Invertible Neural Nets and Normalising Flows (INNF), 2019
arXiv

Quantification of tropical carbon changes using SMOS-IC vegetation optical depth index during 2010-2017

Lei Fan J. and Penuelas J.
EGU General Assembly, Geophysical Research Abstracts, Vol. 21, 2019

Fusing optical and microwave data using distribution regression for crop yield estimation

Mateo-Sanchis A.
XVII Conferencia Española y VII Encuentro Iberoamericano de Biometría - CEB-EIB 2019, 19-21 June 2019, Valencia, 2019

Upscaling Plant Traits with Bayesian inference Approaches

Moreno A.
XVII Conferencia Española y VII Encuentro Iberoamericano de Biometría - CEB-EIB 2019, 19-21 June 2019, Valencia, 2019

Learning New Ways to Predict Agricultural Drought from Optical and Microwave Satellites

Piles M., Laparra V., Padrón J., Bueso D., Sánchez N., González-Zamora Á., Martínez-Fernández J. and G. C.
Living Planet Symposium, 13-17 May 2019, Milano, Italy, 2019

State of Art of Applications from Low Frequency Passive Microwave

Escorihuela M., Rodríguez-Fernández N., Grant J., Ferrazzoli P., Pellarin T., Albitar A., Kaminski T., Piles M., Rautiainen K., Kaleschke L., Leduc-Leballeur M., Picard G. and others
Living Planet Symposium, 13-17 May 2019, Milano, Italy, 2019

Statistical learning methods and optical/microwave fusion of time series for crop yield prediction

Mateo-Sanchis A., Piles M., Muñoz-Marí J., Chaparro D., Adsuara J., Pérez-Suay A. and G. C.
Living Planet Symposium, 13-17 May 2019, Milano, Italy, 2019

Gap filling Sentinel 2 observations in Google Earth Engine: a synergistic Landsat and MODIS Bayesian blending approach

Moreno Martínez Á., Izquierdo Verdiguier E., Camps-Valls G., Robinson N., Martino L., P. M., Allred B. and Running S.
Living Planet Symposium, 13-17 May 2019, Milano, Italy, 2019

Revisiting global teleconnection patterns of ENSO over soils and vegetation

Bueso D., Piles M., Fernandez-Moran and Camps-Valls G.
Living Planet Symposium, 13-17 May 2019, Milano, Italy, 2019

Remote sensing to track a bipolar response of forests and grasses to variations in soil water content

Walther S., Duveiller G., Jung M., Guanter L., Cescatti A. and Camps-Valls G.
Living Planet Symposium, 13-17 May 2019, Milano, Italy, 2019

Crop Yield Prediction With Convolutional Neural Networks on Remote Sensing and Meteorological Data

Wolanin A., Guanter L. and Camps-Valls G.
Living Planet Symposium, 13-17 May 2019, Milano, Italy, 2019

Remote sensing to track differential responses of forests and grasses to variations in soil water content

Sophia Walther G. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Vol. 21, 2019

Learning nonlinear feature representations from spatio-temporal Earth observation data

Gustau Camps-Valls D. and Piles M.
EGU General Assembly, Geophysical Research Abstracts, Vol. 21, 2019

Multisensor distribution regression for crop yield estimation

Anna Mateo Sanchis J. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Vol. 21, 2019

Causal inference in Geosciences with multidimensional kernel deviance measures

Emiliano Diaz Salas Porras A. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Vol. 21, 2019

Extracting important features for crop yield prediction with convolutional neural networks on remote sensing and meteorological data

Aleksandra Wolanin L. and Duveiller G.
EGU General Assembly, Geophysical Research Abstracts, Vol. 21, 2019

Convergent cross-mapping for causal Inference in carbon and water fluxes processes

Álvaro Moreno Martínez E. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Vol. 21, 2019

Using microwave vegetation optical depth for estimating gross primary production

Irene Teubner M. and Dorigo W.
EGU General Assembly, Geophysical Research Abstracts, Vol. 21, 2019

A machine learning based approach for estimating gross carbon dioxide fluxes from eddy covariance net ecosystem exchange measurements

Gianluca Tramontana M. and Papale D.
EGU General Assembly, Geophysical Research Abstracts, Vol. 21, 2019

Extraction of SMOS soil moisture and ocean salinity main features across the Mediterranean region over the last decade

Bueso Acevedo D., Piles M., Ballabrera-Poy J. and Camps-Valls G.
MED 2018, ESA-ESRIN, Frascati (Rome), Italy, 2018

Assessing memory effects in modeled and remotely sensed soil moisture products

Piles M., Dorigo W., Schalie R., Gruber A., Muñoz-Marí J., Camps-Valls G. and Jeu R.
ESA CCI Soil Moisture Workshop, Vienna, Austria, 2018

Causal discovery in Earth system science: State-of-the-art and a new Causality Challenge platform

Runge J., Munoz-Marí J. and Camps-Valls G.
AGU Fall Meeting, Washington, USA, 2018

Gap fillingof Landsat reflectance time series using Google Earth Engine

Alvaro Moreno M. and Running S.
AGU Fall Meeting, Washington, USA, 2018

Crop Yield Prediction with Nonlinear Distribution Regression

Camps-Valls G., Adsuara J., Munoz-Mari A., Mateo-Sanchis A. and Piles M.
AGU Fall Meeting, Washington, USA, 2018

Transferring Knowledge between EO Satellite Missions: Proba-V Cloud Detection through Deep Learning

Gomez-Chova L., Mateo-Garcia G. and Camps-Valls G.
The Phi-week - EO Open Science and Future EO, ESA-ESRIN, Italy, 2018

Exploiting Time on the Google Earth Engine: Cloud Detection of Landsat-8 Time Series

Gomez-Chova L., Mateo-Garcia G., Munoz-Mari J. and Camps-Valls G.
The Phi-week - EO Open Science and Future EO, ESA-ESRIN, Italy, 2018

HyperLabelMe: Benchmarking Image Classifiers

Ruescas A., Munoz-Mari J., Gomez-Chova L., Mateo-Garcia G., Izquiedo E., Campos M. and Camps-Valls G.
The Phi-week - EO Open Science and Future EO, ESA-ESRIN, Italy, 2018

Physics-aware And Explainable Machine Learning

Camps-Valls G., Gomez-Chova L., Svendsen D., Bueso D., Martino L., Perez A., Piles M., Laparra V. and Ruescas A.
The Phi-week - EO Open Science and Future EO, ESA-ESRIN, Italy, 2018

Statistical Distillation of the Earth System Data Cube

Gustau Camps-Valls J. and Mahecha M.
The Phi-week - EO Open Science and FutureEO, ESA-ESRIN, Italy, 2018

A general framework for global mapping of plant traits with operational satellites and climatological data

Alvaro Moreno Martinez G. and Running S.
10th International Conference on Ecological Informatics (ICEI), Jena, Germany, 2018

Gross Primary Production and spring onset linked by spatio-temporal data analysis

Emma Izquierdo-Verdiguier A. and Running S.
10th International Conference on Ecological Informatics (ICEI), Jena, Germany, 2018

SMOS-IC: Current status and overview of soil moisture and VOD applications

Wigneron J., Mialon A., De Lannoy G., Fernandez-Moran R., Al-Yaari A., Ebrahimi M., Rodriguez-Fernandez N., Kerr Y., Quets J., Pellarin T., Fan L., Tian F. and others
International Geoscience and Remote Sensing Symposium (IGARSS), 2018-July, 1451–1454, 2018
URL DOI

First glance on a revised SMOS soil moisture retrieval algorithm: Evaluation with respect to ECMWF soil moisture simulations

Al-Yaari A., Fernandez-Moran R., Wigneron J., Mialon A., Mahmoodi A., Bitar A. and Kerr Y.
International Geoscience and Remote Sensing Symposium (IGARSS), 2017-July, 1566–1569, 2017
URL DOI

SMOS-IC: A revised SMOS product based on a new effective scattering albedo and soil roughness parameterization

Fernandez-Moran R., Wigneron J., De Lannoy G., Lopez-Baeza E., Parrens M., Mialon A., Mahmoodi A., Al-Yaari A., Bircher S., Bitar A., Richaume P. and Kerr Y.
International Geoscience and Remote Sensing Symposium (IGARSS), 2017-July, 1570–1573, 2017
URL DOI

SMOS and applications: First glance at synergistic and new results

Kerr Y., Wigneron J., Mahmoodi A., Bitar A., Mialon A., Bircher S., Molero B., Richaume P., Cabot F., Rodriguez-Fernandez N., Parrens M., Al-Yaari A. and others
International Geoscience and Remote Sensing Symposium (IGARSS), 2017-July, 5584–5587, 2017
URL DOI

Calibrating the effective scattering albedo in the SMOS algorithm: Some first results

Fernandez-Moran R., Wigneron J., De Lannoy G., Lopez-Baeza E., Mialon A., Mahmoodi A., Parrens M., Al Bitar A., Richaume P. and Kerr Y.
International Geoscience and Remote Sensing Symposium (IGARSS), 2016-November, 826–829, 2016
URL DOI

Intercomparison of soil moisture retrieved from GNSS-R and passive L-band radiometry at the Valencia Anchor Station

Yin C., Lopez-Baeza E., Martin-Neira M., Fernandez Moran R., Peinado-Galan N., Navarro E., Egido A., Mollfulleda A., Li W., Cao Y., Zhu B. and Yang D.
International Geoscience and Remote Sensing Symposium (IGARSS), 2016-November, 3137–3139, 2016
URL DOI

Evaluation of the most recent reprocessed SMOS soil moisture products: Comparison between SMOS level 3 V246 and V272

Al-Yaari A., Wigneorn J., Ducharne A., Kerr Y., Fernandez-Moran R., Parrens M., Bi-Tar A., Mialon A. and Richaume P.
International Geoscience and Remote Sensing Symposium (IGARSS), 2015-November, 2493–2496, 2015
URL DOI

Analyzing the impact of using the SRP (Simplified roughness parameterization) method on soil moisture retrieval over different regions of the globe

Fernandez-Moran R., Wigneron J., Lopez-Baeza E., Al-Yaari A., Bircher S., Coll-Pajaron A., Mahmoodi A., Parrens M., Richaume P. and Kerr Y.
International Geoscience and Remote Sensing Symposium (IGARSS), 2015-November, 5182–5185, 2015
URL DOI

Evaluating the impact of roughness in soil moisture and optical thickness retrievals over the VAS area

Fernandez-Moran R., Wigneron J., Lopez-Baeza E., Salgado-Hernanz P., Mialon A., Miernecki M., Alyaari A., Parrens M., Schwank M., Wang S., Coll-Pajaron A., Lawrence H. and others
International Geoscience and Remote Sensing Symposium (IGARSS), 1947–1950, 2014
URL DOI

Compared performances of microwave passive soil moisture retrievals (SMOS) and active soil moisture retrievals (ASCAT) using land surface model estimates (MERRA-LAND)

Al-Yaari A., Wigneron J., Ducharne A., Kerr Y., Wagner W., Reichle R., De Lannoy G., Bitar A., Dorigo W., Parrens M., Fernandez R., Richaume P. and others
International Geoscience and Remote Sensing Symposium (IGARSS), 2463–2466, 2014
URL DOI

Evaluating roughness effects on C-band AMSR-E observations

Wang S., Wigneron J., Parrens M., Al-Yaari A., Fernandez-Moran R., Jiang L., Zeng J. and Kerr Y.
International Geoscience and Remote Sensing Symposium (IGARSS), 3311–3314, 2014
URL DOI

Global maps of roughness parameters from L-band SMOS observations

Parrens M., Wigneron J., Richaume P., Kerr Y., Wang S., Alyaari A., Fernandez-Moran R., Mialon A., Escorihuela M. and Grant J.
International Geoscience and Remote Sensing Symposium (IGARSS), 4675–4678, 2014
URL DOI

Machine Learning for Climate: 15 ways to leave your lover

Camps-Valls G.
2018

Unsupervised Deep Feature Learning with Sparse Codes and Gaussianization

Camps-Valls G.
2018

Distributed Particle Metropolis-Hastings schemes

Martino L., Elvira V. and Camps-Valls G.
IEEE Statistical Signal Processing Workshop (SSP), Freiburg, Germany, 2018

Estimation of Vegetation Loss Coefficients and Canopy Penetration Depths from Combination of Multi-Frequency Radiometer and Icesat Lidar Data

Baur M., Jagdhuber T., Link M., Piles M. and Entekhabi D.
15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, 2018

Estimation of Gravimetric Moisture of Vegetation Using an Attenuation-Based Multi-Sensor Approach

Fink A., Jagdhuber T., Piles M., Grant J., Baur M., Link M. and Entekhabi D.
15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, 2018

Impact of Soil Moisture in Agriculture in the Brazilian Semiarid Using Water Balance and SMOS Satellite Data

Rossato L., Vall-llossera M., Camps A., Chaparro D., Piles M., Marengo J. and Souza A.
15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, 2018

Biomass Estimates From L, C and X-Bands VOD Retrievals in South American Tropical Forests

Chaparro D., Duveiller G., Cescatti A., Piles M., Vall-llossera M. and Camps A.
15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, 2018

Single-Pass Estimation of Vegetation Optical Depth and Effective Scattering Albedo Using Physics-Based Multi-Sensor Data Integration

Jagdhuber T., Baur M., Piles M., Akbar R., Entekhabi D., Montzka C., Seppaenen J., Antropov O. and Praks J.
15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, 2018

Multi-Frequency Estimation Of Canopy Penetration Depths From SMAP/AMSR2 Radiometer And Icesat Lidar Data

Baur M., Jagdhuber T., Link M., Piles M., Akbar R. and Entekhabi D.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Validation, satellite comparison and evolution of OLCI products for optically complex waters

Brockmann C., Ruescas A., Stelzer K., Lebreton C. and Doerffer R.
S3VT meeting, EUMETSAT, Darmstadt, Germany, 2018

Statistical Learning for End-to-End simulator

Vicent J., Verrelst J., Rivera-Caicedo J., Sabater N., Muñoz-Marí J., Camps-Vallas G. and Moreno J.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Nonlinear Complex PCA for Spatio-Temporal Analysis of Global Soil Moisture

Bueso D., Piles M. and Camps-Valls G.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

L-Band Vegetation Optical Depth for Crop Phenology Monitoring and Crop Yield Assessment

Chaparro D., Piles M., Vall-Llossera M., Camps A., Konings A., Entekhabi D. and Jagdhuber T.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Modelling Forest Decline Using SMOS Soil Moisture and Vegetation Optical Depth

Chaparro D., Piles M., Martínez-Vilalta J., Vall-Llossera M., Vayreda J., Banqué-Casanovas M. and Camps A.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Biomass estimation in tropical forests using L, C, and X-band Vegetation Optical Depth

Chaparro D., Duveiller G., Cescatti A., Piles M., Vall-llossera M. and Camps A.
EGU General Assembly, Geophysical Research Abstracts, Vol. 20, 2018

Consistent Regression of Biophysical Parameters with Kernel Methods

Díaz E., Peréz-Suay A., Laparra V. and Camps-Valls G.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Estimating Gravimetric Moisture Of Vegetation Using An Attenuation-Based Multi-Sensor Approach

Fink A., Jagdhuber T., Piles M., Grant J., Baur M., Link M. and Entekhabi D.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Generation of Global Vegetation Products from Eumetsat AVHRR/MetOp Satellites

García-Haro F., Campos-Taberner M., Martínez B., Sánchez-Ruiz S., Gilabert M., Camps-Valls G., Muñoz-Marí J., Laparra V., Camacho F., Sánchez-Zapero J. and Fuster B.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Gross Primary Production and spring onset: spatial-temporal correlation analysis

Izquierdo-Verdiguier E., Moreno A., Zurita-Milla R., Camps-Valls G. and Running S.
EGU General Assembly, Geophysical Research Abstracts, Vol. 20, 2018

Disentangling Derivatives, Uncertainty and Error in Statistical Models

Johnson J., Laparra V. and Camps-Valls G.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Estimating Information in Earth Data Cubes

Johnson J., Diaz E., Laparra V., Mahecha M., Miralles D. and Camps-Valls G.
EGU General Assembly, Geophysical Research Abstracts, Vol. 20, 2018

Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval

Malmgren-Hansen D., Laparra V., Nielsen A. and Camps-Valls G.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Optimizing Kernel Ridge Regression for Remote Sensing Problems

Mateo-García G., Laparra V. and Gómez-Chova L.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Convolutional Neural Networks For Cloud Screening: Transfer Learning From Landsat-8 To Proba-V

Mateo-García G. and Gómez-Chova L.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes

Mateo-Sanchis A., Muñoz-Marí J., Campos-Taberner M., García-Haro J. and Camps-Valls G.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

OLCI System Vicarious Calibration for Non-standard Atmospheric Correction

Mazeran C., Brockmann C., François Steinmetz and Ruescas A.
2018 IEEE International Geoscience and Remote Sensing Symposium, EUMETSAT, Darmstadt, Germany, 2018

ESA's SMOS Mission: Supporting Agricultural Applications

Mecklenburg S., Drusch M., Kerr Y., Albitar A., Rodriguez-Fernandez N., Escorihuela M., Wigneron J., Piles M. and Sabia R.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Interpolation and Gap Filling of Landsat Reflectance Time Series

Moreno A., Maneta M., Camps-Valls G., Matino L., Robinson N., Allred B. and Running S.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Refining Maximum Light Use Efficiency for Land Carbon Models Using Satellite Data and Climatology

Moreno A., Camps-Valls G., Kattge J., Reichstein M. and Running S.
European Geosciences Union, EGU General Assembly 2018, 2018

Sparsity-Driven Digital Terrain Model Extraction

Nar F., Yilmaz E. and Camps-Valls G.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Randomized RX for Target Detection

Nar F., Perez-Suay A., Padron J. and Camps-Valls G.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Nonlinear Cook Distance for Anomalous Change Detection

Hidalgo J., Pérez-Suay A., Nar F. and Camps-Valls G.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Global Estimation of Soil Moisture Persistence with L and C-Band Microwave Sensors

Piles M., Schalie R., Gruber A., Camps-Valls G., Parinussa R., Dorigo W. and Jeu R.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Microwave And Optical Data Fusion for Global Mapping of Soil Moisture at High Resolution

Portal G., Vall-Llossera M., Piles M., Camps A., Chaparro D., Pablos M., Rossato L. and Abouch K.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Retrieval Of Case 2 Water Quality Parameters with Machine Learning

Ruescas A., Mateo-Garcia G., Camps-Valls G. and Hieronymi M.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Seasonal Analysis of Surface Soil Moisture Dry-Downs in a Land-Atmosphere Hotspot as seen By LSM And Satellite Products

Salvia M., Ruscica R., Sörensson A., Polcher J., Piles M. and Karszenbaum H.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Multioutput Automatic Emulator for Radiative Transfer Models

Svendsen D., Martino L., Vicent J. and Camps-Valls G.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Deep Gaussian Processes for Geophysical Parameter Retrieval

Svendsen D., Morales-Álvarez P., Molina R. and Camps-Valls G.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Analysis of the Radar Vegetation Index and Assessment of Potential for Improvement

Szigarski C., Jagdhuber T., Baur M., Thiel C., Urbazaev M., Parrens M., Wigneron J., Piles M., Mccoll K. and Entekhabi D.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Analyzing Microwave Vegetation Optical Depth in Relation to Gross Primary Production

Teubner I., Forkel M., Jung M., Liu Y., Miralles D., Parinussa R., Schalie R., Vreugdenhil M., Schwalm C., Tramontana G., Camps-Valls G. and Dorigo W.
EGU General Assembly, Geophysical Research Abstracts, Vol. 20, 2018

A Deep Network Approach to Multitemporal Cloud Detection

Tuia D., Kellenberger B., Pérez-Suay A. and Camps-Valls G.
2018 IEEE International Geoscience and Remote Sensing Symposium, València, Spain, 2018

Generation of multisource LAI time series for crop assessment

Campos-Taberner M., Garcia-Haro F., Nutini F., Grau-Muedra G., Camps-Valls G., Busetto L., Katsantonis D., Stavrakoudis D., Minakou C., Martinez B., Sanchez-Ruiz S., Gilabert M. and others
5th International Symposium – Recent Advances in Quantitative Remote Sensing, Torrent, Spain, 2017

Advanced Machine Learning Emulators of Radiative Transfer Models

Camps-Valls G., Verrelst J., Martino L. and Vicent J.
American Geophysical Union (AGU) Fall meeting 2017, New Orleans, USA, 11-15 December 2017, 2017

Large Scale Gaussian Processes for Atmospheric Parameter Retrieval and Cloud Screening

Camps-Valls G., Gomez-Chova L., Mateo G., Laparra V., Perez-Suay A. and Munoz-Mari J.
American Geophysical Union (AGU) Fall meeting 2017, New Orleans, USA, 11-15 December 2017, 2017

Mapping wood density globally using remote sensing and climatological data

Moreno-Martinez A., Camps-Valls G., Carvalhais N., Kattge J., Robinson N., Reichstein M., Allred B. and Running S.
American Geophysical Union (AGU) Fall meeting 2017, New Orleans, USA, 11-15 December 2017, 2017

Vegetation Monitoring with Gaussian Processes and Latent Force Models

Camps-Valls G., Svendsen D., Campos M., Martino L. and Luengo D.
European Geosciences Union General Assembly 2017, Vienna, Austria, 23-28 April 2017, 2017

Latent Force Models for Model-Data Integration in Vegetation Monitoring

Martino L., Luengo D. and Camps-Valls G.
10th EARSeL SIG Imaging Spectroscopy Workshop, 19-21 April 2017, University of Zurich (Switzerland), 2017

Physics-Aware Gaussian Processes for Earth Observation

Camps-Valls G., Svendsen D., Martino L., Munoz-Mari J., Laparra V., Campos-Taberner M. and Luengo D.
Scandinavian Conference on Image Analysis (SCIA), Tromsø, Norway, 2017

The geostationary and polar orbit LSA SAF vegetation products

Garcia-Haro F., Campos-Taberner M., Camacho F., Martinez B., Sanchez-Zapero J., Camps-Valls G., Sanchez-Ruiz S. and Gilabert M.
5th International Symposium – Recent Advances in Quantitative Remote Sensing, Torrent, Spain, 2017

Statistical Retrieval of Temperature and Moisture Atmospheric Profiles Benefits from Spatial-Spectral Image Compression

Garcia-Sobrino J., Serra-Sagrista J., Laparra V., Calbet X. and Camps-Valls G.
2017 EUMETSAT Meteorological Satellite Conference, Rome, Italy, 2017
URL

Advances in statistical cloud screening: the Proba-V case study

Gomez-Chova L., Mateo-Garcia G., Munoz-Mari J. and Camps-Valls G.
5th International Symposium – Recent Advances in Quantitative Remote Sensing, Torrent, Spain, 2017

FLUXCOM remote sensing data based CO2 flux products: overview and synthesis

Ichii K., Jung M., Tramontana G., Camps-Valls G., Schwalm C., Kondo M., Papale D., Reichstein M., Weber U. and Yanagi Y.
JpGU/AGU Joint Meeting, Makuhari Messe, Japan, 2017

Global distribution of groundwater-vegetation spatial covariation

Koirala S., Jung M., Reichstein M., Graaf I., Camps-Valls G., Ichii K., Papale D., Raduly B., Schwalm C., Tramontana G. and Carvalhais N.
European Geosciences Union General Assembly 2017, Vienna, Austria, 23-28 April 2017, 2017

Nonlinear statistical retrieval of land surface emissivity from infrared sounding data

Laparra V., Munoz-Mari J., Gomez L., Calbet X. and Camps-Valls A.
2017 EUMETSAT Meteorological Satellite Conference, Rome, Italy, 2017

Predicting year of plantation with hyperspectral and lidar data

Descals A., Alonso L. and Camps-Valls G.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 1780–1783, 2017
DOI

Preliminary assessment of an integrated SMOS and MODIS application for global agricultural drought monitoring

Sánchez N., González-Zamora A., Martínez-Fernández J., Piles M., Pablos M., Wardlow B., Tadesse T. and Svoboda M.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2000–2003, 2017
DOI

Comparison of downscaling techniques for high resolution soil moisture mapping

Sabaghy S., Walker J., Renzullo L., Akbar R., Chan S., Chaubell J., Das N., Dunbar R., Entekhabi D., Gevaert A., Jackson T., Merlin O. and others
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2523–2526, 2017
DOI

Smap-based retrieval of vegetation opacity and albedo

Entekhabi D., Konings A., Piles M. and Das N.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2554–2556, 2017
DOI

Estimation of vegetation loss coefficients and canopy penetration depths from smap radiometer and ICESat lidar data

Baur M., Jagdhuber T., Link M., Piles M., Entekhabi D. and Fink A.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2891–2894, 2017
DOI

A spatially consistent downscaling approach for SMOS using an adaptive moving window

Portal G., Vall-llossera M., Piles M., Camps A., Chaparro D., Pablos M. and Rossato L.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 4151–4153, 2017
DOI

PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration

Jagdhuber T., Baur M., Link M., Piles M., Entekhabi D., Montzka C., Seppänen J., Antropov O., Praks J. and Löw A.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 4322–4325, 2017
DOI

Remote sensing of vegetation dynamics in agro-ecosystems using SMAP vegetation optical depth and optical vegetation indices

Piles M., Camps-Valls G., Chaparro D., Entekhabi D., Konings A. and Jagdhuber T.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 4346–4349, 2017
DOI

SMAP Multi-Temporal vegetation optical depth retrieval as an indicator of crop yield trends and crop composition

Chaparro D., Vall-llossera M., Camps A., Piles M., Konings A. and Entekhabi D.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 4362–4365, 2017
DOI

Nonlinear statistical retrieval of surface emissivity from IASI data

Laparra V., Muñoz-Marí J., Gómez-Chova L., Calbet X. and Camps-Valls G.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 5450–5453, 2017
URL DOI

Cloud detection machine learning algorithms for PROBA-V

Gómez-Chova L., Mateo-García G., Muñoz-Marí J. and Camps-Valls G.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2251–2254, 2017
DOI

Temperature Retrieval with Spatial Noise-aware dimensionality reduction

Malmgren-Hansen D., Laparra V., Nielsen A., Calbet X. and Camps-Valls G.
2017 EUMETSAT Meteorological Satellite Conference, Rome, Italy, 2017

Spatial noise-aware temperature retrieval from infrared sounder data

Malmgren-Hansen D., Laparra V., Nielsen A. and Camps-Valls G.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 17–20, 2017
DOI

Group Metropolis Sampling

Martino L., Elvira V. and Camps-Valls G.
25th European Signal Processing Conference (EUSIPCO), Kos, Greece, 2017

Probabilistic Cross-Validation Estimators for Gaussian Process Regression

Martino L., V. L. and Camps-Valls G.
25th European Signal Processing Conference (EUSIPCO), Kos, Greece, 2017

Recycling Gibbs Sampling

Martino L., Elvira V. and Camps-Valls G.
25th European Signal Processing Conference (EUSIPCO), Kos, Greece, 2017

Automatic emulator and optimized look-up table generation for radiative transfer models

Martino L., Vicent J. and Camps-Valls G.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 1457–1460, 2017
DOI

Automatic Emulation by Adaptive Relevance Vector Machines

Martino L., Vicent J. and Camps-Valls G.
Scandinavian Conference on Image Analysis (SCIA), Tromsø, Norway, 2017

Convolutional neural networks for multispectral image cloud masking

Mateo-García G., Gómez-Chova L. and Camps-Valls G.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2255–2258, 2017
DOI

Efficient remote sensing image classification with Gaussian processes and Fourier features

Morales P., Pérez-Suay A., Molina R. and Camps-Valls G.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2227–2230, 2017
DOI

Passive millimeter wave image classification with large scale Gaussian processes

Pablo Morales A., Perez-Suay A., Molina R., Camps-Valls G. and Katsaggelos A.
2017 IEEE International Conference on Image Processing, Beijing, China, 2017

Fair Kernel Learning

Perez-Suay A., Laparra V., Mateo-Garcia G., Munoz-Mari J., Gomez-Chova L. and Camps-Valls G.
European Conference on Machine Learning (ECML), Skopje, Macedonia, 2017

Fast Cloud Detection over Landmarks in MSG/SEVIRI Image Time Series

Perez-Suay A., Amoros-Lopez J., Gomez-Chova L., Laparra V., Munoz-Mari J., Just D. and Camps-Valls G.
2017 EUMETSAT Meteorological Satellite Conference, Rome, Italy, 2017

Causal inference in geosciences with kernel sensitivity maps

Pérez-Suay A. and Camps-Valls G.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 763–766, 2017
DOI

Retrieval of coloured dissolved organic matter with machine learning methods

Ruescas A., Hieronymi M., Koponen S., Kallio K. and Camps-Valls G.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2187–2190, 2017
DOI

Joint Gaussian processes for inverse modeling

Svendsen D., Martino L., Campos-Taberner M. and Camps-Valls G.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 3980–3983, 2017
DOI

Advances in statistical biophysical parameter retrieval

Svendsen D., Martino L., Gomez-Chova L., Munoz-Mari J., Garcia-Haro J., Campos-Taberner M. and Camps-Valls G.
5th International Symposium – Recent Advances in Quantitative Remote Sensing, Torrent, Spain, 2017

Predicting carbon dioxide and energy fluxes with empirical approaches in FLUXNET

Tramontana G., Jung M., Schwalm C., Ichii K., Camps-Valls G., Ráduly B., Reichstein M., Arain M., Cescatti A., Kiely G., Merbold L., Serrano-Ortiz P. and others
European Geosciences Union General Assembly 2017, Vienna, Austria, 23-28 April 2017, 2017

Is My Method Robust To Acquisition Conditions? An Empirical Manifold alignment Perspective

Tuia D. and Camps-Valls G.
10th EARSeL SIG Imaging Spectroscopy Workshop, 19-21 April 2017, University of Zurich (Switzerland), 2017

Automated Spectral Band Selection for Optimized Vegetation Properties Retrieval Using Gaussian Processes Regression

Verrelst J., Rivera J., Gitelson A., Delegido J., Wittenberghe S., Moreno J. and Camps-Valls G.
10th EARSeL SIG Imaging Spectroscopy Workshop, 19-21 April 2017, University of Zurich (Switzerland), 2017

Emulation of Radiative Transfer Models: New Opportunities for Spectroscopy Data Processing

Verrelst J., Sabater N., Rivera J., Munoz-Mari J., Vicent J., Moreno J. and Camps-Valls G.
10th EARSeL SIG Imaging Spectroscopy Workshop, 19-21 April 2017, University of Zurich (Switzerland), 2017

An intercomparison of SIF vs EO-based vegetation parameters at global scale: what else can we learn about photosynthesis in the temporal dimension?

Walther S., Guanter L., Duveiller G., Cescatti A., Jung M., Koehler P. and Camps-Valls G.
ESA Workshop on Remote Sensing of Fluoroscence, Photosynthesis and Vegetation Status, 17-19 January 2017 at ESA-ESRIN, Frascati, Italy, 2017

End-to-end optimized image compression

Ballé J., Laparra V. and Simoncelli E.
2016
arXiv

End-to-end optimization of nonlinear transform codes for perceptual quality

Ballé J., Laparra V. and Simoncelli E.
Picture Coding Symposium, 2016
URL arXiv

Perceptual distortion measured with a gain control model of LGN response.

Berardino A., V. Laparra, Balle J. and Simoncelli. E.
Cosyne: Computational and Systems Neuroscience., 2016
URL

Monitoring Vegetation From Space with Gaussian Processes and Latent Force Models

Camps-Valls G.
9th International Conference on Computational and Methodological Statistics, CMStatistics, Sevilla, Spain, 2016

Derivatives and Inverse of a Linear-Nonlinear Multi-Layer Spatial Vision Model

Galan B., Martinez-Garcia M., Cyriac P., Batard T., Bertalmio M. and Malo J.
Comput. Neurosci. Commons, Proc. MODVIS, 2016
URL

Latent Force Models for Earth Observation Time Series Prediction

Luengo-Garcia D., Campos-Taberner M. and Camps-Valls G.
2016 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016), Salerno, Italy, 2016
URL

Image Processing and Visual Neuroscience: a positive feedback story

Malo J.
Proc. European Conference on Visual Percerption (ECVP), 2016
URL

Detecting Diplopia through Eye Movements: A Machine Learning Approach

Galán B., Martínez-García M., Sanchis-Jurado V., Pujol J. and Malo J.
Proc. European Conference on Visual Percerption (ECVP), 2016
URL

The maximum differentiation competition depends on the Viewing conditions

Malo J., Kane D. and Bertalmio M.
2016
URL

Image Reconstruction from Neural Responses: what can we learn from the analytic inverse?

Martinez-Garcia M., Galan B. and Malo J.
Proc. European Conference on Visual Percerption (ECVP), 2016
URL

Towards a functional explanation of the connectivity LGN-V1

Martinez-Garcia M., Galan B., Martinez-Oter L. and Malo J.
Comput. Neurosci. Commons, Proc. MODVIS, 2016
URL

Alternative Effective Sample Size measures for Importance Sampling

Martino L., Elvira V. and Louzada F.
Proc. IEEE Statistical Signal Processing Workshop (SSP), 2016
URL

Weighting a Resampled Particle in Sequential Monte Carlo

Martino L., Elvira V. and Louzada F.
Proc. IEEE Statistical Signal Processing Workshop (SSP), 2016
URL

Group Importance Sampling

Martino L., Elvira V. and Louzada F.
ISBA 2016 World Meeting, Sardinia, Italy, 2016
URL

Learning Structures in Earth Observation Data with Gaussian Processes

Mateo F., Munoz-Mari J., Laparra V., Verrelst J. and Camps-Valls G.
Advanced Analysis and Learning on Temporal Data: First ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised Selected Papers, Cham, 78–94, 2016
DOI

Potential of new machine learning methods for understanding long-term interannual variability of carbon and energy fluxes and states from site to global scale

Reichstein M., Jung M., Bodesheim P., Mahecha M., Gans F., Rodner E., Camps-Valls G., Papaple D., Tramontana G., Denzler J. and Baldocchi D.
AGU Fall Meeting, 2016
URL

Sentinel-2 Atmospheric Correction Intercomparison over two lakes in Spain and Peru-Bolivia

Ruescas, A.B., Pereira-Sandoval, M., Tenjo, C., Ruiz-verdu, A., Steinmetz, F., Keukelaere D. and L.
Color and Light in tthe Ocean from EO (CLEO), 2016

Space-borne Chlorophyll Fluorescence, Greenness, Vegetation Models and Interannual Variability of Photosynthetic Activity: Spatio-temporal Patterns, Mechanisms, and Environmental Sensitivities

Walther S., Guanter L., Jung M., Frankenberg C., Sun Y., Forkel M., Zhang Y., Duvellier G., Cescatti A., Camps-Valls G. and Köhler P.
AGU Fall Meeting, 2016
URL

Large-scale random features for kernel regression

Laparra V., Gonzalez D., Tuia D. and Camps-Valls G.
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International, 17–20, 2015
URL DOI

Replacing radiative transfer models by surrogate approximations through machine learning

Verrelst J., Rivera J., Gomez-Dans J., Camps-Valls G. and Moreno J.
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International, 633–636, 2015
URL DOI

Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction

Blix K., Camps-Valls G. and Jenssen R.
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International, 996–999, 2015
URL DOI

Weakly supervised alignment of multisensor images

Gonzalez D., Camps-Valls G. and Tuia D.
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International, 2588–2591, 2015
URL DOI

Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination

Campos-Taberner M., Romero A., Gatta C. and Camps-Valls G.
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International, 4169–4172, 2015
URL DOI

Ranking drivers of global carbon and energy fluxes over land

Camps-Valls G., Jung M., Ichii K., Papale D., Tramontana G., Bodesheim P., Schwalm C., Zscheischler J., Mahecha M. and Reichstein M.
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International, 4416–4419, 2015
URL DOI

Development of an Earth Observation processing chain for crop biophysical parameters at local scale

Campos-Taberner M., García-Haro F., Moreno A., Gilabert M., Martínez B., Sánchez-Ruiz S. and Camps-Valls G.
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International, 17–20, 2015
URL DOI

Operational cloud detection in Sentinel-2 image time series

Luis Gomez-Chova J. and Camps-Valls G.
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International, 17–20, 2015
URL DOI

Spatial/spectral information trade-off in hyperspectral images

Laparra V. and Santos-Rodríguez R.
2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015, Milan, Italy, July 26-31, 2015, 1124–1127, 2015
URL DOI

Measuring the Spatial and Spectral Performance of WorldView-3

Longbotham N., Pacifici F., Malitz S., Baugh W. and Camps-Valls G.
Fourier Transform Spectroscopy and Hyperspectral Imaging and Sounding of the Environment, Fourier Transform Spectroscopy and Hyperspectral Imaging and Sounding of the Environment, HW3B.2, 2015
URL DOI

Geometrical and statistical properties of vision models obtained via maximum differentiation

Malo J. and Simoncelli E.
SPIE Electronic Imaging, 93940L–93940L, 2015
URL

Biophysical parameter retrieval with warped Gaussian processes

Jordi Munoz-Marí J. and Camps-Valls G.
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International, 17–20, 2015
URL DOI

Advanced dimensionality reduction and active learning for imaging spectroscopy statistical retrieval

Verrelst J., Rivera J., Dethier S., Muñoz J., Camps-Valls G. and Moreno J.
9th EARSeL SIG Imaging Spectroscopy workshop, 14-16 April 2015, Trier University, Germany, 2015
URL DOI

Lossless coding of hyperspectral images with Principal Polynomial Analysis

Amrani N., Laparra V., Camps-Valls G., Serra-Sagristà J. and Malo J.
IEEE International Conference on Image Processing, ICIP14, 2014
URL

Lossless coding of hyperspectral images with principal polynomial analysis

Amrani N., Laparra V., Camps-Valls G., Serra-Sagrista J. and Malo J.
2014 IEEE International Conference on Image Processing, ICIP 2014, 4023–4026, 2014
URL DOI

A family of kernel anomaly change detectors

Camps-Valls N.
IEEE Workshop on Hyperspectral Image and Signal Processing, Whispers, 2014
URL

Prototyping of physically based methods to retrieve leaf area index and canopy water content from satellite data

Campos-Taberner M., García-Haro F., Camacho F., Camps-Valls G., Gilabert M., Martínez B., Moreno A., Sánchez S. and Meliá J.
Recent Advantages in Quantitative Remote Sensing, RAQRS, 2014
URL

Advances in Non-linear Retrievals for IASI and MTG-IRS Hyperspectral Infrared Sounders

Camps G., Laparra V., Muñoz J., Gómez L., Calbet X., Hultberg T. and August T.
EUMETSAT Meteorological Satellite Conference, Geneva, Switzerland, 22–26, 2014
URL

Sentinel-2 image time series: Cloud detection in the Cloud

Gómez-Chova L., Amorós-López J., Ruiz-Verdú A., Izquierdo E., Muñoz-Marí J. and Camps-Valls G.
SENTINEL-for Science Workshop 2014, ESA-ESRIN, Frascati, Italy, on the 20th, 21st and 22nd, 2, 2014
URL

Impact of near-lossless compression of IASI L1C data on statistical retrieval of atmospheric profiles

Garcia-Sobrino J., Blanes I., Laparra V., Camps-Valls G. and Serra-Sagristà J.
2014
URL

Cloud masking of multitemporal remote sensing images

Gómez-Chova L., Amorós-López J., Muñoz-Marí J. and Camps-Valls G.
Proceedings of SPIE - The International Society for Optical Engineering, 9244, 2014
URL DOI

Spectral adaptation of hyperspectral flight lines using VHR contextual information

Jacobs J., Thoonen G., Tuia D., Camps-Valls G., Kempeneers P. and Scheunders P.
International Geoscience and Remote Sensing Symposium (IGARSS), 2953–2956, 2014
URL DOI

An ensemble of global high-resolution products of energy fluxes over land

Jung M., Ichii K., Camps-Valls G., Papale D., Tramontana G., Sickert S., Schwalm C. and Reichstein M.
7th International Scientific Conference on the Global Water and Energy Cycle, GEWEX 2014, The Hague, the Netherlands, 14–17, 2014
URL

Dimensionality Reduction via Regression on Hyperspectral Infrared Sounding Data

Laparra V., Malo J. and Camps-Valls G.
IEEE Workshop on Hyperspectral Image and Signal Processing, Whispers, 2014
URL

Pre-launch assessment of Worldview-3 information content

Longbotham N., Pacifici F., Baugh B. and CampsValls G.
IEEE Workshop on Hyperspectral Image and Signal Processing, Whispers, 24–27, 2014
URL

Prediction of black carbon concentration in an urban site via advanced regression

Marcos C., Segura S., Camps-Valls G., Utrillas P. and Martínez-Lozano A.
Iberian Meeting on Aerosol Science and Technology, RICTA, Tarragona, Catalunya, Spain, 7–9, 2014
URL

Unsupervised Deep Feature Extraction of Hyperspectral Images

Romero A., Carlo Gatta and Camps-Valls G.
IEEE Workshop on Hyperspectral Image and Signal Processing, Whispers, 2014

FLUXCOM, towards an ensemble of improved global data-driven products: cross-validation at site level and global scale

Tramontana G., Jung M., Ichii K., Bloom A., Camps-Valls G., Schwalm C., Reichstein M. and Papale D.
Global change research symposium - Human and Ecosystem Response to Global Change: Evidence and Application, Ostuni, Brindisi - Italy, 2014, 16–18, 2014

Unsupervised alignment of image manifolds with centrality measures

Tuia D., Volpi M. and Camps-Valls G.
Proceedings - International Conference on Pattern Recognition, 912–917, 2014
URL DOI

Advanced retrieval methods for leaf chlorophyll content in support of global mapping of vegetation fluorescence

Verrelst J., Rivera J., Muñoz J., Alonso L., Camps-Valls G. and Moreno J.
GVM (Global Vegetation Monitoring and Modelling), Avignon, France, 2, 3–7, 2014

A kernel regression approach to cloud and shadow detection in multitemporal images

Amorós-López J., Izquierdo-Verdiguier E., Gómez-Chova L., Muñoz-Marí J. and Camps-Valls G.
MultiTemp 2013 - 7th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images: "Our Dynamic Environment", Proceedings, 2013
URL DOI

Kernel change discriminant analysis for multitemporal cloud masking

Gómez-Chova L., Izquierdo-Verdiguier E., Amorós-López J., Muñoz-Marí J. and Camps-Valls G.
International Geoscience and Remote Sensing Symposium (IGARSS), 2974–2977, 2013
URL DOI

Advances in synergy of AATSR-MERIS sensors for cloud detection

Gomez-Chova L., Munoz-Mari J., Amoros-Lopez J., Izquierdo-Verdiguier E. and Camps-Valls G.
International Geoscience and Remote Sensing Symposium (IGARSS), 4391–4394, 2013
URL DOI

Mapping cropland GPP in the north temperate region with space measurements of chlorophyll fluorescence

Guanter L., Zhang Y., Jung M., Joiner J., Voigt M., Huete A., Zarco-Tejada P., Frankenberg C., Lee J., Berry J. and others
AGU Fall Meeting Abstracts, 1, 0383, 2013

Domain adaptation with Hidden Markov Random Fields

Jacobs J., Thoonen G., Tuia D., Camps-Valls G., Haest B. and Scheunders P.
International Geoscience and Remote Sensing Symposium (IGARSS), 3112–3115, 2013
URL DOI

Chromatic induction and contrast masking: similar models, different goals?

Jimenez S., Otazu X., Laparra V. and Malo J.
Proceedings of SPIE, the International Society for Optical Engineering, 2013

Visual discrimination and adaptation using non-linear unsupervised learning

Jimenez S., Laparra V. and Malo J.
Proceedings of SPIE, the International Society for Optical Engineering, 2013

Estimation of vegetation chlorophyll content with Variational Heteroscedastic Gaussian Processes

Lazaro-Gredilla M., Titsias M., Verrelst J. and Camps-Valls G.
International Geoscience and Remote Sensing Symposium (IGARSS), 3010–3013, 2013
URL DOI

Multiset Kernel CCA for multitemporal image classification

Muñoz-Marí J., Gómez-Chova L., Amorós J., Izquierdo E. and Camps-Valls G.
MultiTemp 2013 - 7th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images: "Our Dynamic Environment", Proceedings, 2013
URL DOI

Kernel Structural SIMIlarity on hyperspectral images

Talens V., Laparra V., Malo J. and Camps-Valls G.
International Geoscience and Remote Sensing Symposium (IGARSS), 1214–1217, 2013
URL DOI

Recent advances in biophysical parameter retrieval methods – opportunities for Sentinel-2

J. Verrelst J. and Moreno J.
ESA Living Planet Symposium 2013, 09-13 September, Edinbrugh, UK, 2013

ARTMO's new Machine Learning Regression Algorithm (MLRA) module for semiautomatic mapping of biophysical parameters

Verrelst J., Rivera J., Muñoz J., Alonso L., Camps-Valls G. and Moreno J.
EARSeL 8th SIG-Imaging Spectroscopy Workshop 2013, 08-10 April, Nantes, France, 2013

Multi-sensor change detection based on nonlinear canonical correlations

Volpi M., De Morsier F., Camps-Valls G., Kanevski M. and Tuia D.
International Geoscience and Remote Sensing Symposium (IGARSS), 1944–1947, 2013
URL DOI

Learning with the kernel signal to noise ratio

Gomez-Chova L. and Camps-Valls G.
IEEE International Workshop on Machine Learning for Signal Processing, MLSP, 2012
URL DOI

Cloud screening from multispectral image time series

Gomez-Chova L., Amoros-Lopez J., Izquierdo-Verdiguier E., Jimenez-Munoz J. and Camps-Valls G.
EARSel Society, Mykonos, Greece, May 2012, 2012
DOI

Semisupervised kernel orthonormalized partial least squares

Izquierdo-Verdiguier E., Arenas-García J., Muñoz-Romero S., Gómez-Chova L. and Camps-Valls G.
IEEE International Workshop on Machine Learning for Signal Processing, MLSP, 2012
URL DOI

Semisupervised nonlinear feature extraction for image classification

Izquierdo-Verdiguier E., Gómez-Chova L., Bruzzone L. and Camps-Valls G.
International Geoscience and Remote Sensing Symposium (IGARSS), 1525–1528, 2012
URL DOI

Including invariances in SVM remote sensing image classification

Izquierdo-Verdiguier E., Laparra V., Gomez-Chova L. and Camps-Valls G.
International Geoscience and Remote Sensing Symposium (IGARSS), 7353–7356, 2012
URL DOI

Nonlinear data description with Principal Polynomial Analysis

Laparra V., Tuia D., Jimenez S., Camps-Valls G. and Malo J.
IEEE International Workshop on Machine Learning for Signal Processing, MLSP, 2012
URL DOI

Multitemporal fusion of Landsat and MERIS images

Amoros-Lopez J., Gómez-Chova L., Guanter L., Alonso L., Moreno J. and Camps-Valls G.
Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), 2011 6th International Workshop on the, 81–84, 2011
DOI

Kernel entropy component analysis in remote sensing data clustering

Gómez-Chova L., Jenssen R. and Camps-Valls G.
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International, 3728–3731, 2011
DOI

Support vector machines in remote sensing: The tricks of the trade

Camps-Valls G.
Proceedings of SPIE - The International Society for Optical Engineering, 8180, 2011
URL DOI

Kernel-based retrieval of atmospheric profiles from IASI data

Camps-Valls G., Laparra V., Muñoz-Marí J., Gómez-Chova L. and Calbet X.
International Geoscience and Remote Sensing Symposium (IGARSS), 2813–2816, 2011
URL DOI

Explicit signal to noise ratio in reproducing kernel Hilbert spaces

Gómez-Chova L., Nielsen A. and Camps-Valls G.
International Geoscience and Remote Sensing Symposium (IGARSS), 3570–3573, 2011
URL DOI

Complex-Valued Independent Component Analysis of Natural Images

Laparra V., Gutmann M., Malo J. and Hyvärinen A.
Artificial Neural Networks and Machine Learning – ICANN 2011, 6792, 213–220, 2011
URL DOI

Principal polynomial analysis for remote sensing data processing

Laparra V., Tuia D., Jiménez S., Camps-Valls G. and Malo J.
International Geoscience and Remote Sensing Symposium (IGARSS), 4180–4183, 2011
URL DOI

Kernel image similarity criterion

Talens V., Moreno J. and Camps-Valls G.
International Geoscience and Remote Sensing Symposium (IGARSS), 527–530, 2011
URL DOI

Large scale semi-supervised image segmentation with active queries

Tuia D., Muñoz-Marí J. and Camps-Valls G.
International Geoscience and Remote Sensing Symposium (IGARSS), 2653–2656, 2011
URL DOI

Explicit recursivity into reproducing kernel Hilbert spaces

Tuia D., Camps-Valls G. and Martinez-Ramon M.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 4148–4151, 2011
URL DOI

Unsupervised change detection in the feature space using kernels

Volpi M., Tuia D., Camps-Valls G. and Kanevski M.
International Geoscience and Remote Sensing Symposium (IGARSS), 106–109, 2011
URL DOI

Empirical and statistical approaches for the improved retrieval of chlorophyll and LAI from Sentinel-2 data

Verrelst J., Alonso L., Camps-Valls G. and Moreno J.
ESA Living Planet Symposium 2010, 2010

Multi-resolution Spatial Unmixing for MERIS and Landsat Image Fusion

Amoros J., Gómez-Chova L., Guanter L., Alonso L., Moreno J. and Camps-Valls G.
IEEE International Geoscience and Remote Sensing Symposium, IGARSS'2010, 3672–3675, 2010

ENVISAT/MERIS and Landsat/TM Image Fusion using a Multi-Resolution Linear Unmixing

Amoros Lopez J., Gómez Chova L., Guanter L., Alonso L., Camps-Valls G. and Moreno J.
European Space Agency Living Planet Symposium, 2010

Adaptive kernel ridge regression for image denoising

Armengot M., Laparra V., Gómez-Chova L., Malo J. and Camps-Valls G.
Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010, 432–437, 2010
URL DOI

Nonlinear retrieval of atmospheric profiles from MetOp-IASI and MTG-IRS data

Camps-Valls G., Guanter L., Muñoz-Marí J., Gómez-Chova L. and Calbet X.
Proceedings of SPIE - The International Society for Optical Engineering, 7830, 2010
URL DOI

Estimating biophysical variable dependences with kernels

Camps-Valls G., Tuia D., Laparra V. and Malo J.
International Geoscience and Remote Sensing Symposium (IGARSS), 828–831, 2010
URL DOI

Semi-supervised remote sensing image classification via maximum entropy

Erkan A., Camps-Valls G. and Altun Y.
Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010, 313–318, 2010
URL DOI

Gridding Artifacts on ENVISAT/MERIS Temporal Series

Gómez-Chova L., Zurita-Milla R., Alonso L., Guanter L., Amoros-Lopez J., Camps-Valls G. and Moreno J.
European Space Agency Living Planet Symposium, 2010

Synergistic use of MERIS and AATSR Data for Cloud Screening

Gómez-Chova L., Muñoz-Marí J., Izquierdo-Verdiguier E., Camps-Valls G., Calpe-Maravilla J., Moreno J., Preusker R., Fischer J., Brockmann C., North P. and Regner P.
European Space Agency Living Planet Symposium, 2010

Multitask SVM learning for remote sensing data classification

Leiva-Murillo J., Gómez-Chova L. and Camps-Valls G.
Proceedings of SPIE - The International Society for Optical Engineering, 7830, 2010
URL DOI

Land science with Sentinel-2 and Sentinel-3 data series synergy

Moreno J., Guanter L., Alonso L., Gómez-Chova L., Amorós J., Camps-Valls G. and Delegido J.
European Geosciences Union, EGU General Assembly 2010, 2010

Cluster-based active learning for compact image classification

Tuia D., Kanevski M., Marí J. and Camps-Valls G.
International Geoscience and Remote Sensing Symposium (IGARSS), 2824–2827, 2010
URL DOI

Learning spatial filters for multispectral image segmentation

Tuia D., Camps-Valls G., Flamary R. and Rakotomamonjy A.
Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010, 41–46, 2010
URL DOI

STRS (Spectro-Temporal Reflectance Surfaces): a new conceptual framework for the integration of remote sensing data from multiple different sensors

Villa G., Moreno J., Calera A., Amorós-López J., Camps-Valls G., Garrido J., González-Matesanz J., Gómez-Chova L., Luances S., Martínez-Pérez J., Molina S., Ojeda J. and others
3rd International Symposium on Recent Advances in Quantitative Remote Sensing, RAQRS'III, 2010

Unsupervised change detection by kernel clustering

Volpi M., Tuia D., Camps-Valls G. and Kanevski M.
Proceedings of SPIE - The International Society for Optical Engineering, 7830, 2010
URL DOI

Machine learning in remote sensing dataprocessing

Camps-Valls G.
Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009, 2009
URL DOI

Biophysical parameter estimation with adaptive Gaussian processes

Camps-Valls G., Gómez-Chova L., Muñoz-Marí J., Vila-Francés J., Amorós J., Del Valle-Tascon S. and Calpe-Maravilla J.
International Geoscience and Remote Sensing Symposium (IGARSS), 4, IV69-IV72, 2009
URL DOI

Semi-supervised kernel target detection in hyperspectral images

Capobianco L., Garzelli A. and Camps-Valls G.
ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications, 566–571, 2009
URL DOI

Improved cloud detection by means of the synergistic use of MERIS and AATSR data

Gómez-Chova L., Camps-Valls G., Muñoz-Marí J., Calpe J. and Moreno J.
GlobCloud Workshop ``Clouds: from satellite observations to atmospheric modelling'', 2009

Cloud screening with combined MERIS and AATSR images

Gómez-Chova L., Muñoz-Marí J., Izquierdo-Verdiguier E., Camps-Valls G., Calpe J. and Moreno J.
International Geoscience and Remote Sensing Symposium (IGARSS), 4, IV761-IV764, 2009
URL DOI

PCA Gaussianization for one-class remote sensing image classification

Laparra V., Muñoz-Marí J., Camps-Valls G. and Malo J.
Proceedings of SPIE - The International Society for Optical Engineering, 7477, 2009
URL DOI

PCA Gaussianization for image processing

Laparra V., Camps-Valls G. and Malo J.
Proceedings - International Conference on Image Processing, ICIP, 3985–3988, 2009
URL DOI

Structured SVM for Remote Sensing Image Classification

Tuia D., Kanevski M., Muñoz-Marí J. and Camps-Valls G.
IEEE Workshop on Machine Learning for Signal Processing (MLSP09), Grenoble, France, 2009

Structured output SVM for remote sensing image classification

Tuia D., Kanevski M., Muñoz-Marí J. and Camps-Valls G.
Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009, 2009
URL DOI

Recent advances in remote sensing image processing

Tuia D. and Camps-Valls G.
Proceedings - International Conference on Image Processing, ICIP, 3705–3708, 2009
URL DOI

Cluster kernels for semisupervised classification of VHR urban images

Tuia D. and Camps-Valls G.
2009 Joint Urban Remote Sensing Event, 2009
URL DOI

Learning the relevant image features with multiple kernels

Tuia D., Matasci G., Camps-Valls G. and Kanevski M.
International Geoscience and Remote Sensing Symposium (IGARSS), 2, II65-II68, 2009
URL DOI

Multi-stage robust scheme for citrus identification from high resolution airborne images

Amorós-López J., Izquierdo Verdiguier E., Gómez-Chova L., Muñoz-Marí J., Zoilo Rodríguez-Barreiro J., Camps-Valls G. and Calpe-Maravilla J.
Proceedings of SPIE - The International Society for Optical Engineering, 7109, 2008
URL DOI

Efficient kernel orthonormalized PLS for remote sensing applications

Arenas-García J. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 46, 2872–2881, 2008
URL DOI

Unsupervised Change Detection with Support Vector Domain Description

Bovolo F. and Camps-Valls G.
Image Information Mining: pursuing automation of geospatial intelligence for environment and security, IIM ESA-EUSC 2008, ESRIN, Frascati, Italy, 2008

Semi-supervised support vector biophysical parameter estimation

Camps-Valls G., Muñoz-Marí J., Gómez-Chova L. and Calpe-Maravilla J.
International Geoscience and Remote Sensing Symposium (IGARSS), 3, III1131-III1134, 2008
URL DOI

Target detection with a contextual kernel orthogonal subspace projection

Capobianco L. and Camps-Valls G.
Proceedings of SPIE - The International Society for Optical Engineering, 7109, 2008
URL DOI

Semi-supervised kernel orthogonal subspace projection

Capobianco L., Garzelli A. and Camps-Valls G.
International Geoscience and Remote Sensing Symposium (IGARSS), 4, IV216-IV219, 2008
URL DOI

Cloud screening methodology for MERIS/AATSR synergy products

Gómez-Chova L., Camps-Valls G., Muñoz-Marí J., Calpe J. and Moreno J.
European Space Agency, (Special Publication) ESA SP, 2008
URL

Semi-supervised remote sensing image classification based on clustering and the mean map kernel

Gómez-Chova L., Bruzzone L., Camps-Valls G. and Calpe-Maravilla J.
International Geoscience and Remote Sensing Symposium (IGARSS), 4, IV391-IV394, 2008
URL DOI

Correction of the effects of the light source on quasi-spherical objects: Application to modelling spherical fruits

Gómez-Sanchis J., Moltó E., Aleixos N., Camps-Valls G., Gómez-Chova L. and Blasco J.
Proceedings of the 6th International Conference on Engineering Computational Technology, 2008
URL

Segmentation of hyperspectral images for the detection of rotten mandarins

Gómez-Sanchis J., Camps-Valls G., Moltó E., Gómez-Chova L., Aleixos N. and Blasco J.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5112 LNCS, 1071–1080, 2008
URL DOI

Recovering wavelet relations using SVM for image denoising

Laparra V., Gutiérrez J., Camps-Valls G. and Malo J.
Proceedings - International Conference on Image Processing, ICIP, 541–544, 2008
URL DOI

Image classification with semi-supervised one-class support vector machine

Muñoz-Marí J., Gómez-Chova L., Camps-Valls G. and Calpe-Maravilla J.
Proceedings of SPIE - The International Society for Optical Engineering, 7109, 2008
URL DOI

Feature extraction from remote sensing data using kernel orthonormalized PLS

Arenas-García J. and Camps-Valls G.
International Geoscience and Remote Sensing Symposium (IGARSS), 258–261, 2007
URL DOI

Efficient regularized LDA for hyperspectral image classification

Bandos T., Bruzzone L. and Camps-Valls G.
Proceedings of SPIE - The International Society for Optical Engineering, 6748, 2007
URL DOI

An unsupervised support vector method for change detection

Bovolo F., Camps-Valls G. and Bruzzone L.
Proceedings of SPIE - The International Society for Optical Engineering, 6748, 2007
URL DOI

Hyperspectral image classification with Mahalanobis relevance vector machines

Camps-Valls G., Rodrigo-González A., Muñoz-Marí J., Gómez-Chova L. and Calpe-Maravilla J.
International Geoscience and Remote Sensing Symposium (IGARSS), 3802–3805, 2007
URL DOI

Cloud screening and multitemporal unmixing of MERIS FR data

Gómez-Chova L., Zurita-Milla R., Camps-Valls G., Guanter L., Clevers J., Calpe J., Schaepman M. and Moreno J.
European Space Agency, (Special Publication) ESA SP, 2007
URL

Semi-supervised cloud screening with Laplacian SVM

Gómez-Chova L., Camps-Valls G., Muñoz-Marí J. and Calpe J.
International Geoscience and Remote Sensing Symposium (IGARSS), 1521–1524, 2007
URL DOI

Combination of one-class remote sensing image classifiers

Muñoz-Marí J., Camps-Valls G., Gómez-Chova L. and Calpe-Maravilla J.
International Geoscience and Remote Sensing Symposium (IGARSS), 1509–1512, 2007
URL DOI

Multitemporal Unmixing of MERIS FR Data

Zurita-Milla R., Gómez-Chova L., Clevers J., Schaepman M. and Camps-Valls G.
10th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS07), Davos (Switzerland), 2007

Semi-supervised hyperspectral image classification with graphs

Bandos T., Zhou D. and Camps-Valls G.
International Geoscience and Remote Sensing Symposium (IGARSS), 3883–3886, 2006
URL DOI

Multitemporal image classification and change detection with kernels

Camps-Valls G., Gomez-Chova L., Muñoz-Marí J., Alonso L., Calpe-Maravilla J. and Moreno J.
Proceedings of SPIE - The International Society for Optical Engineering, 6365, 2006
URL DOI

Cloud probability mask for PROBA/CHRIS hyperspectral images

Gómez-Chova L., Camps-Valls G., Amorós-López J., Calpe J., Guanter L., Alonso L., Fortea J. and Moreno J.
Proceedings of the IV CHRIS/Proba Workshop, ESRIN, Frascati, Italy, ESA SP-4, 2006

Bootstrap feature selection in support vector machines for ventricular fibrillation detection

Alonso-Atienza F., Rojo-álvarez J., Camps-Valls G., Rosado-Muñoz A. and Garcia-Alberola A.
Proc. European Society of Artificial Neural Networks, ESANN'2206, Bruges, Belgium, 233–238, 2006

Modelling spatial and spectral systematic noise patterns on CHRIS/PROBA hyperspectral data

Gómez-Chova L., Alonso L., Guanter L., Camps-Valls G., Calpe J. and Moreno J.
Proceedings of SPIE - The International Society for Optical Engineering, 6365, 2006
URL DOI

New cloud detection algorithm for multispectral and hyperspectral images: Application to ENVISAT/MERIS and PROBA/CHRIS sensors

Gómez-Chova L., Camps-Valls G., Amorós-López J., Guanter L., Alonso L., Calpe J. and Moreno J.
International Geoscience and Remote Sensing Symposium (IGARSS), 2757–2760, 2006
URL DOI

Multitemporal validation of an unmixing-based MERIS cloud screening algorithm

Gómez-Chova L., Zurita-Milla R., Camps-Valls G., Guanter L., Clevers J., Calpe J., Schaepman M. and Moreno J.
2nd International Symposium. Recent Advantages in Quantitative Remote Sensing, Torrent, Spain, 2006

Hyperspectral computer vision system for early detection of Penicillium digitatum in citrus fruits

Gómez-Sanchis J., Moltó E., Gómez-Chova L., Aleixos N., Camps-Valls G., Juste F. and Blasco J.
Proceedings of the XVI CIGR/EurAgEng/VDI-MEG/FAO World Congress 2006 - Agricultural Engineering for a better World, Bonn, Germany, ISBN: 3–18–091958–2, 2006

Advanced processing of hyperspectral images

Plaza A., Benediktsson J., Boardman J., Brazile J., Bruzzone L., Camps-Valls G., Chanussot J., Fauvel M., Gamba P., Gualtieri A., Tilton J. and Trianni G.
International Geoscience and Remote Sensing Symposium (IGARSS), 1974–1978, 2006
URL DOI

Relevance vector machines for sparse learning of biophysical parameters

Camps-Valls G., Gomez-Chova L., Vila-Francés J., Amorós-López J., Muñoz-Marí J. and Calpe-Maravilla J.
Proceedings of SPIE - The International Society for Optical Engineering, 5982, 2005
URL DOI

Cloud detection for CHRIS/Proba hyperspectral images

Gómez-Chova L., Amorós J., Camps-Valls G., Martín J., Calpe J., Alonso L., Guanter L., Fortea J. and Moreno J.
Proceedings of SPIE - The International Society for Optical Engineering, 5979, 2005
URL DOI

Urban monitoring at a regional scale based on MERIS and ASAR data

Gómez-Chova L., Fernández-Prieto D., Calpe J. and Camps-Valls G.
European Space Agency, (Special Publication) ESA SP, 201–208, 2005
URL

Cloud masking scheme based on spectral, morphological and physical features

Gómez-Chova L., Calpe J., Camps-Valls G., Amorós J., Martin J., Alonso L., Guanter L., Fortea J. and Moreno J.
European Space Agency, (Special Publication) ESA SP, 65–74, 2005
URL

Cloud detection for MERIS multispectral images

Gómez-Chova L., Camps-Valls G., Amorós J., Martín J., Calpe J., Alonso L., Guanter L., Fortea J. and Moreno J.
European Space Agency, (Special Publication) ESA SP, 77–85, 2005
URL

Improving InfoVille XXI using Machine Learning Techniques

Martín J., Lisboa P., Soria E., Palomares A., Balaguer E., Serrano A. and Camps-Valls G.
10th International Conference on User Modelling 2005. Workshop on Machine Learning for User Modeling: Challenges, Edinburg, UK, 2005

Gain control for the chromatic channels in JPEG2000

Y. Navarro J. and Malo J.
AIC Colour 05 - 10th Congress of the International Colour Association, 2005

Regularized RBF Networks for Hyperspectral Data Classification

Camps-Valls G., Serrano-López A., Gómez-Chova L., Martin J., Calpe J. and Moreno J.
International Conference on Image Recognition, ICIAR'04., Porto, Portugal, 3212, 429–436, 2004

Regularized methods for hyperspectral image classification

Camps-Valls G. and Bruzzone L.
Proceedings of SPIE - The International Society for Optical Engineering, 5573, 226–237, 2004
URL DOI

Kernel methods for HyMap imagery knowledge discovery

Camps-Valls G., Gómez-Chova L., Calpe-Maravilla J., Soria-Olivas E., Martín-Guerrero J. and Moreno J.
Proceedings of SPIE - The International Society for Optical Engineering, 5238, 234–243, 2004
URL DOI

Partially supervised hierarchical clustering of SAR and multispectral imagery for Urban areas monitoring

Gómez-Chova L., Fernández-Prieto D., Calpe J., Soria E., Vila J. and Camps-Valls G.
Proceedings of SPIE - The International Society for Optical Engineering, 5573, 138–149, 2004
URL DOI

Robust automatic classification method for hyperspectral imagery

Gomez-Chova L., Calpe J., Camps-Valls G., Martin J., Soria E., Vila J., Alonso-Chorda L. and Moreno J.
Proceedings of SPIE - The International Society for Optical Engineering, 5238, 398–407, 2004
URL DOI

Multispectral and Multitemporal SAR Data Characterization for Urban Monitoring

Gómez-Chova L., Fernández-Prieto D., Calpe J., Soria E., Vila J. and Camps-Valls G.
3rd International Workshop on Pattern Recognition in Remote Sensing (PRRS'04), Kingston University, Kingston upon Thames, London, UK, 2004

Machine Learning Methods for One-Session Ahead Prediction of Accesses to Page Categories.

Martín-Guerrero J., Balaguer-Ballester E., Camps-Valls G., Palomares A., Serran-López A., Gómez-Sanchis J. and Soria-Olivas E.
3rd International Conference on Adaptive Hypermedia and Adaptive Web-based Systems, AH'04, Eindhoven, The Netherlands, 3137, 421–424, 2004

Machine learning methods for hyperspectral image analysis and modeling

Calpe J., Gómez-Chova L., Camps-Valls G., Martín J., Soria E., Vila J., Alonso-Chorda L. and Moreno J.
Workshop: SPECTRA: a space-borne Earth Observation Mission to address the role of terrestrial vegetation in the Carbon Cycle, ESTEC. Noordwijk, The Netherlands. (ESA WPP-225, March 2004). (ISSN: 1022-6656), 2003

Neural networks for C_2h cyclosporine concentration modelling

Camps-Valls G., Serrano-López A., Porta-Oltra B., Martin-Guerrero J., Soria-Olivas E. and Jiménez-Torres N.
32nd European Symposium on Clinical Pharmacy, ESCP'03., València, Spain, P28, 2003

Support Vector Machines for Crop Classification Using Hyperspectral Data

Camps-Valls G., Gómez-Chova L., Calpe-Maravilla J., Soria-Olivas E., Martín-Guerrero J. and Moreno J.
Iberian Conference on Pattern Recognition and Image Analysis. IbPRIA'03, Mallorca, Spain, 2085, 134–141, 2003

Semi-Supervised Classification Method for Hyperspectral Remote Sensing Images

Gomez-Chova L., Calpe J., Camps-Valls G., Martín J., Soria E., Vila J., Alonso-Chorda L. and Moreno J.
International Geoscience and Remote Sensing Symposium (IGARSS), 3, 1776–1778, 2003
URL

Feature Selection of Hyperspectral Data Through Local Correlation and SFFS for Crop Classification

Gomez-Chova L., Calpe J., Camps-Valls G., Martín J., Soria E., Vila J., Alonso-Chorda L. and Moreno J.
International Geoscience and Remote Sensing Symposium (IGARSS), 1, 555–557, 2003
URL

Support vector machines for crop classification using hyperspectral data

Camps-Valls G., Gómez-Chova L., Calpe-Maravilla J., Soria-Olivas E., Martín-Guerrero J. and Moreno J.
Pattern Recognition and Image Analysis: First Iberian Conference, IbPRIA 2003, Puerto de Andratx, Mallorca, Spain, JUne 4-6, 2003. Proceedings 1, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2652, 134–141, 2003
DOI

CART-based feature selection of hyperspectral images for crop cover classification

Gómez-Chova L., Calpe J., Soria E., Camps-Valls G., Martín J. and Moreno J.
IEEE International Conference on Image Processing, 3, 589–592, 2003
URL

Robust Automatic Classification Method for Hyperspectral Imagery

Gómez L., Calpe J., Camps-Valls G., Martín J., Soria E. and Moreno J.
SPIE Remote Sensing Symposium. Image and Signal Processing for Remote Sensing IX. SPIE03, Barcelona, Spain, 5238, 398–407, 2003

Perceptual regularization functionals for natural image restoration

Gutierrez J., Malo J. and Ferri F.
ICIP (2), 989–992, 2003
URL DOI

Normalized Image Representation for Efficient Coding

Malo J.
Proc. IEEE 37th Asilomar Conf. Signals Systems & Comp., 2, 1408–1412, 2003

A soft approach to ERA algorithm for hyperspectral image classification

Martín J., Gómez L., Calpe J., Camps-Valls G., Soria E. and Moreno J.
IEEE International International. Symposium on Image and Signal Processing and Analysis (ISPA 2003), Rome, Italy, 2, 761–765, 2003

Multi-dimensional Function Approximation and Regression Estimation

Pérez-Cruz F., Camps-Valls G., Soria-Olivas E., Pérez-Ruixo J., Figueiras-Vidal A. and Artés-Rodríguez A.
International Conference on Artificial Neural Networks, ICANN'02., Madrid, Spain, 2415, 757–782, 2002

Semi-supervised method for crop classification using hyperspectral remote sensing images

Gómez L., Calpe J., Soria E., Camps-Valls G., Martín J. and Moreno J.
1st International Symposium. Recent Advantages in Quantitative Remote Sensing, RAQRS'2002, Torrent (València), 488–495, 2002

Solving clinical problems with artificial neural networks: some case studies

Martín J., Soria E., Camps-Valls G., Serrano A., Sepúlveda J. and Jiménez N.
Second European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems EUNITE 2002, Albufeira (Portugal), 2002

Enhancing feature extraction for VF detection using data mining techniques

Rosado-Muñoz A., Camps-Valls G., Guerrero-Martínez J., Francés-Villora J., Muñoz-Marí J. and Serrano-López A.
Computers in Cardiology, 29, 209–212, 2002
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Two different approaches for a real-time acquisition system for Ventricular Fibrillation detection using time-frequency algorithms

Rosado A., Magdalena J., Muñoz J., Bataller M. and Camps G.
International Conference TELEC02, Santiago de Cuba (Cuba), 2002

Support vector machines and genetic algorithms for detecting unstable angina

Sepúlveda-Sanchis J., Camps-Valls G., Soria-Olivas E., Salcedo-Sanz S., Bousoño-Calzón C., Sanz-Romero G. and Marrugat de la Iglesia J.
Computers in Cardiology, 29, 413–416, 2002
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Web-based Clinical Decision Support System Using Neural Networks

Serrano A., Soria E., Camps-Valls G., Martín J., Sepúlveda J., Magdalena R. and Jiménez N.
Second European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems EUNITE 2002, Albufeira (Portugal), 2002

Video quality measures based on the standard spatial observer

Watson A. and Malo J.
ICIP (3), 41–44, 2002
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Fetal ECG extraction using an FIR neural network

Camps G., Martinez M. and Soria E.
Computers in Cardiology. IEEE Computer Society Press, Rotterdam, The Netherlands, 249–252, 2001

Neural Networks Ensemble for Cyclosporine Concentration Monitoring

Camps-Valls G., Soria-Olivas E., Martin-Guerrero J., Pérez-Ruixo J. and Jiménez-Torres N.
International Conference on Artificial Neural Networks, ICANN'2001, Vienna, Austria, 2130, 706–711, 2001

A Profile-Dependent Kernel-based Regression for Cyclosporine Concentration Prediction

Camps-Valls G., Soria-Olivas E., Pérez-Ruixo J., Artés-Rodriguez A., Pérez-Cruz F. and Figueiras-Vidal A.
Neural Information Processing Systems, NIPS'01. Workshop on New Directions in Kernel-based Learning Methods, Vancouver, British Columbia, Canada, 2001

Comparative study of NONMEM and Neural Networks for Cyclosporine Dosage Prediction in Renal Allograft Recipients

Camps-Valls G., Porta B., Pérez-Ruixo J., Soria E., Martín J. and Jiménez V.
Population Approach Group Europe (PAGE2001), ISSN 1871-6032, Basel, Suiza, Abstr 217, 2001
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Optimización de dosis de EPO en pacientes con anemia secundaria a insuficiencia renal crónica a través de la predicción del nivel de hemoglobina

Martín-Guerrero J., Soria-Olivas E., Pérez-Ruixo J., Camps-Valls G., Serrano-López A., Sepúlveda-Sanchis J. and Jiménez-Torres N.
2nd International Congress of Nephrology in Internet, Burgos, Spain, 2001
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A profile-dependent kernel-based regression for cyclosporine concentration prediction

Camps-Valls G., Soria-Olivas E., Pérez-Ruixo J., Artés-Rodríguez A., Pérez-Cruz F. and Figueiras-Vidal A.
Neural Information Processing Systems (NIPS)–Workshop on New Directions in Kernel-Based Learning Methods, 2001
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Methods to evaluate the performance of fetal electrocardiogram extraction algorithms

Martinez M., Calpe J., Soria E., Guerrero J., Camps G. and Gomez L.
Computers in Cardiology 2001, 253–256, 2001
DOI

Erythropoietin Dosage Individualisation in Anemic Patients With Chronic Renal Failure

Martín J., Jiménez V., Pérez-Ruixo J., Serrano A., Rosado A., Soria E. and Camps-Valls G.
Population Approach Group Europe (PAGE2001), ISSN 1871-6032, Basel, Suiza, Abstr 214, 2001
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Risk Assessment For Acute Myocardial Infarction Patients Using Artificial Neural Networks

Sepulveda J., Soria E., Camps-Valls G., Sanz G. and Gómez L.
Computers in Cardiology, CINC'01. IEEE Computer Society Press, Rotterdam (Holanda), 573–575, 2001

Some examples for solving Clinical Problems using Neural Networks

Serrano A., Soria E., Camps-Valls G. and Martín J.
6th International Work-Conference On Artificial and Natural Neural Networks. IWANN'2001, Granada, Spain, 2085, 345–355, 2001

An Example of a Neural Network Like a Pharmacokinetic/Pharmacodynamic Model

Serrano A., Martín J., Jiménez V., Pérez-Ruixo J., Camps-Valls G. and Soria E.
Population Approach Group Europe (PAGE2001), ISSN 1871-6032, Basel, Suiza, Abstr 216, 2001
URL

A Neural Approach to Ciclosporine dose Prediction

Camps-Valls G., Soria E., Jiménez N., Martín J., Serrano A. and Porta B.
Chicago 2000 World Congress on Medical Physics and Biomedical Engineering, Chicago (Illinois), EE.UU., 2000

Artificial Neural Networks for the Classification of potentially Intoxicates Patients Treated with Digoxin

Camps-Valls G., Soria E. and Jiménez N.
Chicago 2000 World Congress on Medical Physics and Biomedical Engineering, Chicago (Illinois), EE.UU., 2000

Cross-correlation of the Heart Rate Variability and Ventricular Repolarization Duration in Diabetic Patients Affected by Autonomic Cardiovascular Neuropathy

Guerrero J., López M., Chorro J., Martínez M., Camps-Valls G. and Ampudia J.
Chicago 2000 World Congress on Medical Physics and Biomedical Engineering, Chicago (Illinois), EE.UU., 2000

Prediction of digoxin Plasma Potentially Toxic Levels by Using a Neural Network Model

Jiménez N., Soria E., Albert A., Serrano A. and Camps G.
1999 Midyear Clinical Meeting. ASHP'99. American Society of Health-System Pharmacists, Orlando (EEUU), 2277, 2000

Nonlinear Prediction of rhEPO Dose by Using Neural Networks

Martín J., Soria E., Jiménez N., Camps-Valls G., Serrano A. and Pérez Ruixo J.
Chicago 2000 World Congress on Medical Physics and Biomedical Engineering, Chicago (Illinois), EE.UU., 2000

Analysis of Heart Rate Variability In Diabetic Patients Affected By Autonomic Cardiovascular Neuropathy

Guerrero J., López P., Chorro J., Martínez M., Camps-Valls G., Magdalena R. and Ampudia J.
Computers in Cardiology 1999, CINC'1999. IEEE Computer Society Press, Hannover, Germany, 241–244, 1999

Prediction of digoxin plasma potentially toxic levels by using a neural network model

Jiménez V., Albert A., Soria E., Camps G. and Serrano A.
Proceedings of the ASHP 1999 Midyear Clinical Meeting, Revista Española de Cardiología, Vol 52, 62, 1999
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Ventricular Fibrillation Detection Method Using Pseudo Wigner-Ville Time-Frequency Representation

Rosado A., Guerrero J., Serrano A., Soria E., Martínez M. and Camps G.
Fifth Conference of the European Society for Engineering & Medicine. ESEM'1999, Barcelona, 379–380, 1999

Variable-size block matching algorithm for motion estimation using a perceptual-based splitting criterion

Ferri F., Malo J., Albert J. and Soret J.
Fourteenth International Conference on Pattern Recognition, ICPR 1998, Brisbane, Australia, 16-20 August, 1998, 286–288, 1998
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Uso de redes neuronales en la clasificación de pacientes con riesgo de intoxicación por digoxina

Soria E., Camps-Valls G., Serrano A., Molina J., Martín J. and Albert A.
I Congreso Latinoamericano de Ingeniería Biomédica MAZATLáN '98, Mazatlán, México, 167–170, 1998

Aplicación informática para la identificación de pacientes con riesgo de intoxicación digitálica

Soria E., Camps-Valls G., Serrano A., Albert A. and Jiménez N.
I Congreso Latinoamericano de Ingeniería Biomédica MAZATLáN '98, Mazatlán, México, 211–214, 1998

Adaptive Motion Estimation and Video Vector Quantization Based on Spatiotemporal Non-linearities of Human Perception

Malo J., Ferri F., Albert J. and Artigas J.
Image Analysis and Processing, 9th International Conference, ICIAP '97, Florence, Italy, September 17-19, 1997, Proceedings, Volume I, 454–461, 1997
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