Journal papers

Uncertainty-Aware Deep Learning for Wildfire Danger Forecasting

Kondylatos S., Papadopoulos N., Camps-Valls G. and Papoutsis I.
Machine Learning: Earth, 2026
URL DOI

AI in Mangrove Remote Sensing: A Comprehensive Review

Xue Z., Qian S., Camps-Valls G., Jia M., Zhang H. and Khoshelham K.
IEEE Geoscience and Remote Sensing Magazine, 2026

Upwind terrestrial influences on soil moisture variability across South America

Huang F., Jiang S., Shangguan W., Camps-Valls G., Winkler A., Li W., Duveiller G., Reimers C., Zhao W., Reichstein M. and others
Nature Communications, 17, 7256, 2026

Earth Embeddings: Toward artificial intelligence-centric representations of our planet

Klemmer K., Rolf E., Rußwurm M., Camps-Valls G., Czerkawski M., Ermon S., Francis A., Jacobs N., Kerner H., Mackey L. and others
IEEE Geoscience and Remote Sensing Magazine, 2026

Beyond carbon measurement: Turning agricultural carbon into credible climate action

Li T., Tian X., Dalal R., Kyriazopoulos A., Sharififar A., Xia A., Pandey R., Fu P., Bolan N., Wu J. and others
The Innovation, 101531, 2026

Bridging the weather and climate divide with artificial intelligence

Camps-Valls G., Carrassi A., de Melo Viríssimo F., Debeire K., Fernández-Torres M., Hess P., Heuer H., Mankovich N., Montero D., Rodrigo-Bonet E. and others
Nature Communications, 17, 8578, 2026

Enhancing reproducibility in hybrid Earth system models

Chen M., Zhu Z., Wagener T., Boers N., Müller R., Strobl J., Camps-Valls G., Batty M., Jakeman A., Kolditz O. and others
Nature Machine Intelligence, 1–13, 2026

RCNet: Real–Complex Fusion for Label-Efficient PolSAR Classification

Zhang S., Dong Z., Lin H., Gao Y., Pandey R., An W., Li T., Wang Y., Fu P., Fava F., Wu J., Gao S. and others
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2026

Causal Graph Neural Networks for Robust Wildfire Forecasting Across Geographic Shifts

Zhao S., Prapas I., Xiong Z., Karasante I., Papoutsis I., Camps-Valls G. and Zhu X.
ISPRS Journal of Photogrammetry and Remote Sensing, 2026
URL DOI

Video compression for spatiotemporal Earth system data

Pellicer-Valero O., Aybar C. and Valls G.
Computers & Geosciences, 106227, 2026

TeleViT1. 0: teleconnection-informed vision transformers for subseasonal to seasonal wildfire pattern forecasts

Prapas I., Papadopoulos N., Bountos N., Michail D., Camps-Valls G. and Papoutsis I.
Machine Learning: Earth, 2, 015019, 2026

Hybrid forest disturbance classification using Sentinel-1 and inventory data: a case-study for Southeastern USA

Müller F., Eifler L., Cremer F., Beck P., Camps-Valls G. and Bastos A.
Natural Hazards and Earth System Sciences, 26, 2785–2815, 2026

A multivariate analysis of atmospheric drivers for Western European heatwaves

Paçal A., Hassler B., Weigel K., Fernández-Torres M., Camps-Valls G. and Eyring V.
Earth System Dynamics, 17, 955–986, 2026

State-space models as graphs

Elvira V., Cox B. and Camps-Valls G.
Delft University of Technology, 2026

Disentangling Forced and Internal Climate Variability in Single Realizations using Dynamic Mode Decomposition with Control

Mankovich N., Gavrilov A. and Camps-Valls G.
arXiv preprint arXiv:2607.18298, 2026

Developing Physics-Aware Emulators for Atmospheric Radiative Transfer Modeling

Vicent-Servera J., Martino L., Varando G. and Camps-Valls G.
Radiative Transfer and Light Scattering (Volume 12), 1–41, 2026

A Multivariate Analysis of Atmospheric Drivers for Western European Heatwaves

Paçal A., Hassler B., Weigel K., Fernández-Torres M., Camps-Valls G. and Eyring V.
Earth System Dynamics, 1–35, 2026

Earth Embeddings: Towards AI-centric Representations of our Planet

Klemmer K., Rolf E., Rußwurm M., Camps-Valls G., Czerkawski M., Ermon S., Francis A., Jacobs N., Kerner H., Mackey L., Mai G., Aodha O. and others
IEEE Geosci. Remote Sens. Mag., 2026

Hybrid forest disturbance classification using Sentinel-1 and inventory data: a case-study for Southeastern USA

Müller F., Eifler L., Cremer F., Beck P., Camps-Valls G. and Bastos A.
Natural Hazards and Earth System Sciences, 26, 2785–2815, 2026
URL DOI

Evaluating Machine Learning Emulators for Atmospheric Radiative Transfer: The AMLEC Challenge

Vicent J., Singh J., Rochel A., Contreras J., Poirier R., Liatsis P., Almarzouqi H. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Magazine, 2026

A Blueprint for Integrated Climate Intelligence

Rodriguez-Pardo C., Ascenso G., Pedraza C., Bachelery M., Balzarolo M., Beery S., Benson V., Berti-Equille L., Bracco A., Butenschön M. and others
2026

From rows to yields: how foundation models for tabular data simplify crop yield prediction

Sabo F., Meroni M., Piles M., Claverie M., Ferreira F., Van Den Berg E., Collivignarelli F. and Rembold F.
Scientific Reports, 2026

Case 2 Regional Coast Colour: a neural network-based framework for atmospheric correction and in-water retrievals across multiple ocean colour satellite sensors

Müller D., Hieronymi M., Ruescas A., Peters M., Röttgers R., König M., Lebreton C., Stelzer K., Brockmann C. and Doerffer R.
Frontiers in Remote Sensing, 7, 1710758, 2026

Near-Real-Time Turbidity Monitoring at Global Scale Using Sentinel-2 Data and Machine Learning Techniques

Chowdhury M., De La Calle I., Laiz I. and Ruescas A.
Remote Sensing, 17, 3716, 2025

Combining BGC-Argo floats and satellite observations for water column estimations of particulate backscattering coefficient

García-Jimenez J., Ruescas A., Amorós-López J. and Sauzède R.
EGUsphere, 2025, 1–23, 2025
DOI

Feasibility of L-band Sharpening with C-band using SMAP and AMSR Radiometry Data for Future Application to CIMR

Zhang M., AlNasser F., Piles M. and Entekhabi D.
IEEE Transactions on Geoscience and Remote Sensing, 63, 1-10, 2025
DOI

Estimation of Forest Water Potential from Ground-Based L-band Radiometry

Jagdhuber T., Schmidt A., Fluhrer A., Chaparro D., Jonard F., Piles M., Holtzman N., Konings A., Feldman A., Baur M. and others
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025
DOI

Learning feature representations with recurrent neural networks for the Earth Sciences

Campos-Taberner M., Mateo-Sanchis A., Adsuara J., Martínez B., Rhif M., Abbes A., Piles M., Pérez-Suay A., García-Haro F. and Gilabert M.
Agricultural Applications of Earth Observation, 231–256, 2026

Assessing evapotranspiration dynamics across central Europe in the context of land-atmosphere drivers

Fluhrer A., Baur M., Piles M., Bayat B., Rahmati M., Chaparro D., Dubois C., Hellwig F., Montzka C., Kübert A., Mueller M., Augscheller I. and others
Biogeosciences, 22, 3721–3746, 2025
DOI

A novel calibration of global soil roughness effects for SMOS-IC soil moisture and L-VOD products

Konkathi P., Li X., Fernandez-Moran R., Liu X., Xing Z., Frappart F., Piles M., Karthikeyan L. and Wigneron J.
Remote Sensing of Environment, 329, 114946, 2025
DOI

Tracking water dynamics of a temperate forest under drought and non-drought conditions using active and passive microwave and optical remote sensing

Hellwig F., Fluhrer A., Dubois C., Schellenberg K., Chaparro D., Zehner M., Klosterhalfen A., Piles M., Schmullius C., Kunstmann H. and others
Journal of Geophysical Research: Biogeosciences, 131, e2025JG009240, 2026

RAID-Dataset: human responses to affine image distortions and Gaussian noise

Daudén-Oliver P., Agost-Beltran D., Sansano-Sansano E., Montoliu R., Laparra V., Malo J. and Martínez-Garcia M.
Scientific Data, 2026

Why Divisive Normalization works in image segmentation?

Hernández-Cámara P., Vila-Tomás J., Dauden-Oliver P., Alabau-Bosque N., Laparra V. and Malo J.
Neurocomputing, 130569, 2025
DOI

A Turing Test for Artificial Nets devoted to model Human Vision

Vila-Tomás J., Hernández-Cámara P., Li Q., Laparra V. and Malo J.
arXiv preprint arXiv:2502.00721, Submitted
DOI

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 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 18642–18652, 2025

Alignment of color discrimination in humans and image segmentation networks

Hernández-Cámara P., Daudén-Oliver P., Laparra V. and Malo J.
Frontiers in Psychology, 15, 1415958, 2024
DOI

Plaid masking explained with input-dependent dendritic nonlinearities

Bertalmío M., Durán Vizcaíno A., Malo J. and Wichmann F.
Scientific Reports, 14, 24856, 2024
DOI

Estimating the contribution of early and late noise in vision from psychophysical data

Malo J., Esteve-Taboada J., Aguilar G., Maertens M. and Wichmann F.
Journal of Vision, 25, 12–12, 2025
DOI

Dissecting the effectiveness of deep features as metric of perceptual image quality

Hernández-Cámara P., Vila-Tomás J., Laparra V. and Malo J.
Neural Networks, 185, 107189, 2025
DOI

Higher-Order Triadic Interactions: Insights Into the Multiscale Network Organization in Schizophrenia

Li Q., Yu S., Malo J., Pearlson G., Wang Y. and Calhoun V.
Human Brain Mapping, 46, e70399, 2025

Feasibility and Validation of the HISTARFM Gap Filling Algorithm for Sentinel-2 Data

Izquierdo-Verdiguier E., González-Ramírez A., Moreno-Martínez Á., Muñoz-Marí J., Clinton N., Vuolo F. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 23, 1–5, 2026
DOI

Leveraging Remote Sensing and Crowd-Sourced Biodiversity Data for Enhanced Plant Functional Trait Mapping

Moreno Martínez Á., Muñoz-Marí J., Adsuara J., Dechant B., Kattge J., Kattenborn T., Sabatini F., Schneider F., Duveiller G., Bodegom P., Butler E., Mahecha M. and others
Nature Communications, 2026
DOI

The Maturation of AI in Drought Science: A Review of Trends, Pitfalls, and Priorities

Ascenso G., Giuliani M., Pérez-Aracil J., Salcedo-Sanz S., Bertini C., Bonetti P., Camps-Valls G., Fernández-Torres M., Ficchì A., Linscheid N., Merlo M., Palcic G. and others
Water Resources Research, 62, 2026
DOI

Symbolic Regression for Physics-aware Emulation

Vicent J., Kokhanovsky A., Varando G., Martino L. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 64, 1-13, 2026
DOI

A Comprehensive AI Approach for Monitoring and Forecasting Medicanes Development

Martinez-Amaya J., Nieves V. and Muñoz-Mari J.
Climate, 12, 220, 2024
DOI

Mapping sugarcane plantations in Northeast Thailand using multi-temporal data from multi-sensors and machine-learning algorithms

Ratanopad Suwanlee S., Keawsomsee S., Izquierdo-Verdiguier E., Som-Ard J., Moreno-Martinez A., Veerachit V., Polpinij J. and Rattanasuteerakul K.
Big Earth Data, 9, 1–30, 2025
DOI

High-resolution biophysical parameter estimation at scale with uncertainties

Martínez-Ferrer L., Moreno-Martínez Á., Muñoz-Marí J., Izquierdo-Verdiguier E., García-Haro F. and Camps-Valls G.
Carbon Fluxes and Biophysical Variables from Earth Observation, 35–58, 2025

European Union crop map 2022: Earth observation’s 10-meter dive into Europe’s crop tapestry

Ghassemi B., Izquierdo-Verdiguier E., Verhegghen A., Yordanov M., Lemoine G., Moreno Martínez Á., De Marchi D., van der Velde M., Vuolo F. and d’Andrimont R.
Scientific Data, 11, 1048, 2024
DOI

Observation and Geoinformation

Suwanlee S., Keawsomsee S., Izquierdo-Verdiguier E., Moreno-Martínez Á., Ninsawat S. and Som-ard J.
International Journal of Applied Earth Observation and Geoinformation, 141, 3, 2025

Crowdsourced biodiversity monitoring fills gaps in global plant trait mapping

Lusk D., Wolf S., Svidzinska D., Dormann C., Kattge J., Bruelheide H., Sabatini F., Damasceno G., Moreno Martínez Á., Violle C. and others
Nature Communications, 2026

30 m-resolution annual crop type maps in Northeast China from 2001 to 2022

Di Y., Dong J., You N., Li Z., Moreno-Martínez Á., Izquierdo-Verdiguier E., Sun J. and Fu P.
Scientific Data, 2026

Spatiotemporal Characterization of Soybean Phenology in the Arkansas Delta Region Using Multi-Source Remotely Sensed Data from 2002 to 2020

Vire F., He Y., Pearson B., Noyes R., Tullis J., Moreno-Martínez Á., Izquierdo-Verdiguier E. and Clinton N.
Papers in Applied Geography, 1–16, 2025

IQM-Vis: A user-centric python toolbox for visualising and evaluating image quality metrics

Clifford M., Hepburn A., Kleinlein R., Vila-Tomás J., Hernández-Cámara P., Dauden P., Lepora N., Laparra V. and Santos-Rodriguez R.
SoftwareX, 31, 102225, 2025
DOI Altimetric

Accelerated north–east shift of the global green wave trajectory

Mahecha M., Kraemer G., Reinhardt M., Montero D., Gans F., Bastos A., Feilhauer H., Flik I., Ji C., Kattenborn T., Migliavacca M., Mönks M. and others
Proceedings of the National Academy of Sciences, 123, e2515835123, 2026
URL DOI

Foundation Models in Remote Sensing: Evolving from Unimodality to Multimodality

Hong D., Li C., Li X., Camps-Valls G. and Chanussot J.
IEEE Geoscience and Remote Sensing Magazine, 14, 1–20, 2026
DOI

Kernel Detrended Fluctuation Analysis for Estimating Multivariate Nonlinear Persistence

Williams T., Durand H., Camps-Valls G., Braun T., Martinuzzi F., Montero D. and Mahecha M.
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2026
DOI

A radiometrically and spatially consistent super-resolution framework for Sentinel-2

Aybar C., Contreras J., Donike S., Portalés-Julià E., Mateo-García G. and Gómez-Chova L.
Remote Sensing of Environment, 334, 115222, 2026

Forced Component Estimation Statistical Method Intercomparison Project (ForceSMIP)

Wills R., Deser C., McKinnon K., Phillips A., Po-Chedley S., Sippel S., Merrifield A., Bône C., Bonfils C., Camps-Valls G., Cropper S., Connolly C. and others
Journal of Climate, 39, e250326, 2026
DOI

Explainable earth surface forecasting under extreme events

Pellicer-Valero O., Fernández-Torres M., Ji C., Mahecha M. and Camps-Valls G.
Earth's Future, 13, e2024EF005446, 2025

Understanding flood detection models across Sentinel-1 and Sentinel-2 modalities and benchmark datasets

Portalés-Julià E., Mateo-García G. and Gómez-Chova L.
Remote Sensing of Environment, 328, 114882, 2025
DOI

Probabilistic machine learning for noisy labels in Earth observation

Kondylatos S., Bountos N., Prapas I., Zavras A., Camps-Valls G. and Papoutsis I.
Scientific Reports, 15, 35890, 2025
DOI

Sub-Seasonal Forest Carbon Dynamics Lose Persistence Under Extremes

Williams T., Moreno Martínez Á., Martinuzzi F., Mahecha M. and Camps-Valls G.
Environmental Research Letters, 20, 084052, 2025
DOI

Dimensionality Reduction for Remote Sensing Data Analysis: A Systematic Review of Methods and Applications

Mankovich N., Cohrs K., Durand H., Sitokonstantinou V., Williams T. and Camps-Valls G.
arXiv preprint arXiv:2510.18935, 2025

Do Vision Transformers See Like Humans? Evaluating their Perceptual Alignment

Hernández-Cámara P., Jaén-Lorites J., Vila-Tomás J., Laparra V. and Malo J.
arXiv preprint arXiv:2508.09850, 2025

AI needs a new philosophy of science

Camps-Valls G.
The Innovation, 7, 101311, 2026
URL DOI

GeoAI: Beyond mapping earth and cities through explainability, adaptability, and sustainability

Song Y., Biljecki F., Camps-Valls G. and Atkinson P.
iScience, 29, 114407, 2026
DOI

Considerable yet contrasting regional imprint of circulation change on summer temperature trends across the Northern hemisphere mid-latitudes

Pfleiderer P., Merrifield A., Dunkl I., Durand H., Cariou E., Cattiaux J., Camps-Valls G. and Sippel S.
Weather and Climate Dynamics, 7, 89–108, 2026
DOI

Winter wheat improves soil carbon sequestration with reduced gains in warmer climates

Giannarakis G., Sitokonstantinou V., Bormpoudakis D., Tsoumas I., Samarinas N., Camps-Valls G. and Kontoes C.
Environmental Research Letters, 21, 024026, 2026
URL DOI

Unveiling Spectral Attention Redundancy with Explainable AI

Ma C., Pellicer-Valero O., Cohrs K., Yao J., Jiang J., Li H. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 23, 1–1, 2026
DOI

Hybrid forest disturbance classification using Sentinel-1 and inventory data: a case-study for Southeastern USA

Müller F., Eifler L., Cremer F., Beck P., Camps-Valls G. and Bastos A.
EGUsphere, 2025, 1–37, 2025

Physically consistent and uncertainty-aware learning of spatiotemporal dynamics

Xu Q., Bamber J., Thuerey N., Boers N., Bates P., Camps-Valls G., Shi Y. and Zhu X.
arXiv preprint arXiv:2510.21023, 2025

Earth action in transition: Highlights from the 2025 esa-nasa international workshop on ai foundation models for eo

Longépé N., Alemohammad H., Anghelea A., Brunschwiler T., Camps-Valls G., Cavallaro G., Chanussot J., Delgado J., Demir B., Dionelis N. and others
2025

TeleViT 1.0: Teleconnection-informed vision transformers for subseasonal to seasonal wildfire pattern forecasts

Prapas I., Papadopoulos N., Bountos N., Michail D., Camps-Valls G. and Papoutsis I.
Machine Learning: Earth, 2026

Earth Embeddings: Towards AI-centric Representations of our Planet

Klemmer K., Rolf E., Russwurm M., Camps-Valls G., Czerkawski M., Ermon S., Francis A., Jacobs N., Kerner H., Mackey L., Mai G., Mac Aodha O. and others
2025
DOI

Staged trees and asymmetry-labeled DAGs

Varando G., Carli F. and Leonelli M.
Metrika, 88, 855–882, 2025
DOI

Use of Sun-Induced Chlorophyll Fluorescence in Linear and Non-Linear Light Use Efficiency Models for Remote Estimation of Plant Photosynthesis Under Stress Conditions

Cendrero-Mateo M., Van Wittenberghe S., Laparra V., Rascher U., Papuga S., Ponce-Campos G. and Moreno J.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025
DOI

Guided Depth Inpainting in ToF Image Sensing based on Near Infrared Information

Achaibou A., Pla F. and Calpe J.
IEEE Transactions on Computational Imaging, 2025
DOI

Advancing Global Turbidity Monitoring Using Sentinel-2 Data and Machine-Learning Techniques

Chowdhury M., de la Calle I., Laiz I. and Ruescas A.
Available at SSRN 5134350, 2025
DOI

Trustworthy Super-Resolution of Multispectral Sentinel-2 Imagery with Latent Diffusion

Donike S., Aybar C., Gomez-Chova L. and Kalaitzis F.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025
DOI

Learning Causal Response Representations through Direct Effect Analysis

Durand H., Varando G. and Camps-Valls G.
arXiv preprint arXiv:2503.04358, 2025

Urbansam: Learning invariance-inspired adapters for segment anything models in urban construction

Li C., Hong D., Zhang B., Li Y., Camps-Valls G., Zhu X. and Chanussot J.
arXiv preprint arXiv:2502.15199, 2025

On the Generalization of Representation Uncertainty in Earth Observation

Kondylatos S., Bountos N., Michail D., Zhu X., Camps-Valls G. and Papoutsis I.
arXiv preprint arXiv:2503.07082, 6552-6562, 2025
DOI

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

Cohrs K.
2025
DOI

BenchFlux: Advancing Nature-Based Climate Solutions through Scale-Aware CO2 Flux Benchmarks

Izquierdo-Verdiguier E., Moreno-Martínez Á., Stoy P., Sonnentag O., Pal C., Kang Y., Keenan T., Desai A., Metzger S., Xiao J., Fortier M., Bassiouni M. and others
2025
DOI

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

Williams T., Mahecha M. and Camps-Valls G.
2025
DOI

Geospatial Foundation Models to Enable Progress on Sustainable Development Goals

Ghamisi P., Yu W., Zhang X., Rizaldy A., Wang J., Zhou C., Gloaguen R. and Camps-Valls G.
arXiv preprint arXiv:2505.24528, 2025

Synergistic use of multi-sensor satellite data for mapping crop types and land cover dynamics from 2021 to 2023 in Northeast Thailand

Suwanlee S., Keawsomsee S., Izquierdo-Verdiguier E., Moreno-Martínez Á., Ninsawat S. and Som-ard J.
International Journal of Applied Earth Observation and Geoinformation, 141, 104673, 2025
DOI

TeleViT1. 0: Teleconnection-aware Vision Transformers for Subseasonal to Seasonal Wildfire Pattern Forecasts

Prapas I., Papadopoulos N., Bountos N., Michail D., Camps-Valls G. and Papoutsis I.
arXiv preprint arXiv:2512.00089, 2025
DOI

Estimating carbon fluxes over North America using a physics-constrained deep learning model

Fan B., Zhang H., Li Z., Xiao J., Che X., Liu Z., Camps-Valls G. and Chen J.
ISPRS Journal of Photogrammetry and Remote Sensing, 227, 551–569, 2025
DOI

CloudRuler: Rule-based transformer for cloud removal in Landsat images

Li J., Wang Y., Sheng Q., Wu Z., Wang B., Ling X., Liu X., Du Y., Gao F., Camps-Valls G. and Molinier M.
Remote Sensing of Environment, 328, 114913, 2025
DOI

Probabilistic machine learning for noisy labels in Earth observation

Kondylatos S., Bountos N., Prapas I., Zavras A., Camps-Valls G. and Papoutsis I.
Scientific Reports, 15, 35890, 2025
URL DOI

Explainable Earth Surface Forecasting Under Extreme Events

Pellicer-Valero O., Fernández-Torres M., Ji C., Mahecha M. and Camps-Valls G.
Earth's Future, 13, e2024EF005446, 2025
URL DOI

Machine Learning-Based Retrieval of Cloud Droplet Number Concentration and Liquid Water Path From Satellite Spectral Data

Gonzalez J., Dipu S., Jimenez G., Camps-Valls G. and Quaas J.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 21910–21922, 2025
DOI

Assessing evapotranspiration dynamics across central Europe in the context of land–atmosphere drivers

Fluhrer A., Baur M., Piles M., Bayat B., Rahmati M., Chaparro D., Dubois C., Hellwig F., Montzka C., Kübert A., Mueller M., Augscheller I. and others
Biogeosciences, 22, 3721–3746, 2025
URL DOI

A novel calibration of global soil roughness effects for SMOS-IC soil moisture and L-VOD products

Konkathi P., Li X., Fernandez-Moran R., Liu X., Xing Z., Frappart F., Piles M., Karthikeyan L. and Wigneron J.
Remote Sensing of Environment, 329, 114946, 2025
URL DOI

Serendipity’s role in advancing geoscience

Camps-Valls G.
Nature Geoscience, 18, 684-685, 2025
URL DOI

CloudRuler: Rule-based transformer for cloud removal in Landsat images

Li J., Wang Y., Sheng Q., Wu Z., Wang B., Ling X., Liu X., Du Y., Gao F., Camps-Valls G. and Molinier M.
Remote Sensing of Environment, 328, 114913, 2025
URL DOI

S4A-CyL: A Sentinel-2 Time Series Dataset for Deep Learning in Agriculture (2020-2024)

Pascual García R., Diez Pastor J., Latorre Carmona P., Pérez Núñez P., Camps-Valls G., Aroca Fernández J. and others
2025
DOI

From Rows to Yields: How Foundation Models for Tabular Data Simplify Crop Yield Prediction

Sabo F., Meroni M., Piles M., Claverie M., Ferreira F., Berg E., Collivignarelli F. and Rembold F.
arXiv preprint arXiv:2506.19046, 2025
DOI

Video compression for spatiotemporal Earth system data

Pellicer-Valero O., Aybar C. and Camps-Valls G.
Computers & Geosciences, 215, 106227, 2026
URL arXiv DOI

Calibration and uncertainty quantification for deep learning-based drought detection

Zhang M., Fernández-Torres M., Cohrs K. and Camps-Valls G.
International Journal of Applied Earth Observation and Geoinformation, 140, 104563, 2025
URL DOI

A Radiometrically and Spatially Consistent Super-Resolution Framework for Sentinel-2

Aybar C., Contreras J., Donike S., Portalés-Julià E., Mateo-García G. and Gómez-Chova L.
2025
URL DOI

Leveraging causality and explainability in digital agriculture

Tsoumas I., Sitokonstantinou V., Giannarakis G., Lampiri E., Athanassiou C., Camps-Valls G., Kontoes C. and Athanasiadis I.
Environmental Data Science, 4, e23, 2025
DOI

Dynamics of Masked Image Modeling in Hyperspectral Image Classification

Ma C., Li H., Jiang J., Aybar C., Yao J. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 63, 1–15, 2025
DOI

Analyzing climate scenarios using dynamic mode decomposition with control

Mankovich N., Bouabid S., Nowack P., Bassotto D. and Camps-Valls G.
Environmental Data Science, 4, e16, 2025
DOI

Albufera Lagoon Ecological State Study Through the Temporal Analysis Tools Developed with PerúSAT-1 Satellite

Alvado B., Saldarriaga L., Sòria-Perpinyà X., Soria J., Vicent J., Ruíz-Verdú A., García-Martínez C., Vicente E. and Delegido J.
Sensors, 25, 1103, 2025
DOI

Explainability can foster trust in artificial intelligence in geoscience

Dramsch J., Kuglitsch M., Fernández-Torres M., Toreti A., Albayrak R., Nava L., Ghaffarian S., Cheng X., Ma J., Samek W., Venguswamy R., Koul A. and others
Nature Geoscience, 18, 1–3, 2025
DOI

Timing Matters: Viticultural Land Use Determines Responses in Structure and Function of Fungal Stream Communities Across One Growing Season

Schreiner V., Link M., Amelung G., Ohler K., Salis R., Leese F. and Schäfer R.
Global Change Biology, 31, e70085, 2025
DOI

DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts

Ji C., Fincke T., Benson V., Camps-Valls G., Fernández-Torres M., Gans F., Kraemer G., Martinuzzi F., Montero D., Mora K., Pellicer-Valero O., Robin C. and others
Scientific Data, 12, 149, 2025
DOI

Invertible Neural Networks for Probabilistic Aerosol Optical Depth Retrieval

Pelucchi P., Servera J., Stier P. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 63, 1–1, 2025
DOI

Generative networks for spatio-temporal gap filling of Sentinel-2 reflectances

Gonzalez-Calabuig M., Fernández-Torres M. and Camps-Valls G.
ISPRS Journal of Photogrammetry and Remote Sensing, 220, 637–648, 2025
URL DOI

Earth System Data Cubes: Avenues for advancing Earth system research

Montero D., Kraemer G., Anghelea A., Aybar C., Brandt G., Camps-Valls G., Cremer F., Flik I., Gans F., Habershon S. and al. E.
Environmental Data Science, 3, e27, 2025
DOI

Estimating Information Theoretic Measures via Multidimensional Gaussianization

Laparra V., Johnson J., Camps-Valls G., Santos-Rodríguez R. and Malo J.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 47, 1293-1308, 2025
DOI

Emulation of Forward Modeled Top-of-Atmosphere MODIS-Based Spectral Channels Using Machine Learning

Gonzalez J., Dipu S., Sourdeval O., Siméon A., Camps-Valls G. and Quaas J.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 1896–1911, 2025
DOI

Artificial Intelligence for Modeling and Understanding Extreme Weather and Climate Events

Camps-Valls G., Fernández-Torres M., Cohrs K., Höhl A., Castelletti A., Pacal A., Robin C., Martinuzzi F., Papoutsis I., Prapas I., Pérez-Aracil J., Weigel K. and others
Nature Communications, 16, 1–10, 2025
arXiv DOI

Early warning of complex climate risk with integrated artificial intelligence

Reichstein M., Frank D., Benson V., Camps-Valls G., Denzler J., Kornhuber K., Schoelkopf B., Vinuesa R., Han B., Fearnley C., Rahaman N., Tarraga J. and others
Nature Communications, 2025
PDF DOI

The Art of Deception: Color Visual Illusions and Diffusion Models

Gomez-Villa A., Wang K., Parraga A., Twardowski B., Malo J., Vazquez-Corral J. and van de Weijer J.
arXiv preprint arXiv:2412.10122, 18642-18652, 2025
DOI

RAID-Database: human Responses to Affine Image Distortions

Daudén-Oliver P., Agost-Beltran D., Sansano-Sansano E., Laparra V., Malo J. and Martínez-Garcia M.
arXiv preprint arXiv:2412.10211, Submitted
DOI

Parametric Enhancement of PerceptNet: A Human-Inspired Approach for Image Quality Assessment

Vila-Tomás J., Hernández-Cámara P., Laparra V. and Malo J.
arXiv preprint arXiv:2412.03210, Submitted
DOI Altimetric

Land use alters cross-ecosystem transfer of high value fatty acids by aquatic insects

Ohler K., Schreiner V., Reinhard L., Link M., Liess M., Brack W. and Schäfer R.
Environmental Sciences Europe, 36, 1–16, 2024
DOI

Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi

Filigheddu M., Leonelli M., Varando G., Gómez-Bermejo M., Ventura-Díaz S., Gorospe L. and Fortún J.
Computational and Structural Biotechnology Journal, 24, 12–22, 2024
DOI

Shift in diet composition of a riparian predator along a stream pollution gradient

Huszarik M., Roodt A., Wernicke T., Link M., Lima-Fernandes E., Åhlén D., Schreiner V., Schulz R., Hambäck P. and Entling M.
Proceedings B, 291, 20242104, 2024
DOI

Assessing evapotranspiration dynamics across central Europe in the context of land-atmosphere drivers

Fluhrer A., Baur M., Piles M., Bayat B., Rahmati M., Chaparro D., Dubois C., Hellwig F., Montzka C., Kübert A., Mueller M., Augscheller I. and others
EGUsphere, 2024, 1–33, 2024
DOI

Remote sensing of vegetation canopy properties: States & spatio-temporal dynamics of the temperature of the vegetation canopy

Hellwig F., Jagdhuber T., Karlbauer M., Fluhrer A., Baris I., Zehner M., Jonard F., Schellenberg K., Weiß T., Link M. and others
Submitted
URL

Opening the Black Box: A systematic review on explainable artificial intelligence in remote sensing

Höhl A., Obadic I., Fernández-Torres M., Najjar H., Oliveira D., Akata Z., Dengel A. and Zhu X.
IEEE Geoscience and Remote Sensing Magazine, 2024
DOI

Onboard cloud detection and atmospheric correction with efficient deep learning models

Aybar C., Mateo-García G., Acciarini G., Rŭžička V., Meoni G., Longépé N. and Gómez-Chova L.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024
DOI

Towards data-driven discovery of governing equations in geosciences

Song W., Jiang S., Camps-Valls G., Williams M., Zhang L., Reichstein M., Vereecken H., He L., Hu X. and Shi L.
Communications Earth & Environment, 5, 589, 2024
DOI

Collaboration between artificial intelligence and Earth science communities for mutual benefit

Chen M., Qian Z., Boers N., Creutzig F., Camps-Valls G., Hubacek K., Claramunt C., Wilson J., Nativi S., Jakeman A., Müller R., Batty M. and others
Nature Geoscience, 17, 949–952, 2024
DOI

Detecting Spatiotemporal Dynamics of Western European Heatwaves Using Deep Learning

Happe T., Wijnands J., Fernández-Torres M., Scussolini P., Muntjewerf L. and Coumou D.
Artificial Intelligence for the Earth Systems, 3, e230107, 2024
DOI

Robust learning of staged tree models: A case study in evaluating transport services

Leonelli M. and Varando G.
Socio-Economic Planning Sciences, 95, 102030, 2024
DOI

The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification

Namgyal T., Hepburn A., Santos-Rodriguez R., Laparra V. and Malo J.
arXiv preprint arXiv:2409.17069, 2024
DOI Altimetric

Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward

Tuia D., Schindler K., Demir B., Zhu X., Kochupillai M., Džeroski S., van Rijn J., Hoos H., Frate F., Datcu M., Markl V., Saux B. and others
IEEE Geoscience and Remote Sensing Magazine, 13, 119-141, 2024
DOI

Causal machine learning for sustainable agroecosystems

Sitokonstantinou V., Porras E., Bautista J., Piles M., Athanasiadis I., Kerner H., Martini G., Sweet L., Tsoumas I., Zscheischler J. and others
arXiv preprint arXiv:2408.13155, Submitted
DOI Altimetric

Invariance of deep image quality metrics to affine transformations

Alabau-Bosque N., Daudén-Oliver P., Vila-Tomás J., Laparra V. and Malo J.
arXiv preprint arXiv:2407.17927, Submitted
DOI Altimetric

Image segmentation via divisive normalization: dealing with environmental diversity

Hernández-Cámara P., Vila-Tomás J., Dauden-Oliver P., Alabau-Bosque N., Laparra V. and Malo J.
arXiv preprint arXiv:2407.17829, Submitted
DOI Altimetric

Causal hybrid modeling with double machine learning—applications in carbon flux modeling

Cohrs K., Varando G., Carvalhais N., Reichstein M. and Camps-Valls G.
Machine Learning: Science and Technology, 5, 035021, 2024
DOI

The AIDE Toolbox: AI for Disentangling Extreme Events

Gonzalez-Calabuig M., Cortés-Andrés J., Williams T., Zhang M., Pellicer-Valero O., Fernández-Torres M. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Magazine, 12, 113–118, 2024
Code DOI

Learning Staged Trees from Incomplete Data

Carter J., Leonelli M., Riccomagno E. and Varando G.
arXiv preprint arXiv:2405.18306, Submitted
DOI Altimetric

Context-Specific Refinements of Bayesian Network Classifiers

Leonelli M. and Varando G.
arXiv preprint arXiv:2405.18298, Submitted
DOI Altimetric

Overview of the Land-Atmosphere Feedback Initiative (LAFI) project: A remote sensing perspective

Hellwig F., Jagdhuber T., Fluhrer A., Schellenberg K., Jach L., Chaparro D., Dubois C., Jonard F., Baris I., Link M. and others
2024
URL

Structural learning of simple staged trees

Leonelli M. and Varando G.
Data Mining and Knowledge Discovery, 38, 1520–1544, 2024
DOI

Facilitating advanced Sentinel-2 analysis through a simplified computation of Nadir BRDF Adjusted Reflectance

Montero D., Mahecha M., Aybar C., Mosig C. and Wieneke S.
arXiv preprint arXiv:2404.15812, XLVIII-4/W12-2024, 105-112, 2024
DOI Altimetric

Second-Moment/Order Approximations by Kernel Smoothers with Application to Volatility Estimation

Beleña L., Curbelo E., Martino L. and Laparra V.
Mathematics, 12, 1406, 2024
DOI

Cortical divisive normalization from Wilson–Cowan neural dynamics

Malo J., Esteve-Taboada J. and Bertalmío M.
Journal of Nonlinear Science, 34, 35, 2024
DOI

Gaussian process regression hybrid models for the top-of-atmosphere retrieval of vegetation traits applied to PRISMA and EnMAP imagery

Pascual-Venteo A., Garcia J., Berger K., Estévez J., Vicent J., Pérez-Suay A., Van Wittenberghe S. and Verrelst J.
Remote Sensing, 16, 1211, 2024
DOI

Neural plasticity-inspired foundation model for observing the Earth crossing modalities

Xiong Z., Wang Y., Zhang F., Stewart A., Hanna J., Borth D., Papoutsis I., Le Saux B., Camps-Valls G. and Zhu X.
arXiv e-prints, arXiv–2403, 2024
DOI

Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear

Leonelli M. and Varando G.
Applied Intelligence, 54, 1734–1750, 2024
DOI

L-band Sharpening with C-band using SMAP and AMSR2 Radiometry Data for Future Application to CIMR

Zhang M., Alnassar F., Piles M. and Entekhabi D.
SSRN 4735215, 2024
URL DOI

A Novel Calibration of Global Soil Roughness Effects for Smos-Ic Soil Moisture and L-VOD Products

Konkathi P., Li X., Fernandez-Moran R., Liu X., Xing Z., Frappart F., Piles M., Karthikeyan L. and Wigneron J.
Available at SSRN 4830200, 2024
DOI

Large Language Models for Causal Hypothesis Generation in Science

Cohrs K., Diaz E., Sitokonstantinou V., Varando G. and Camps-Valls G.
Machine Learning: Science and Technology, 6, 013001, 2024
DOI

SEN2NAIP: A large-scale dataset for Sentinel-2 Image Super-Resolution

Aybar C., Montero D., Contreras J., Donike S., Kalaitzis F. and Gómez-Chova L.
Scientific Data, 11, 1389, 2024
URL DOI

Harnessing Machine Learning to Decode the Mediterranean’s Climate Canvas and Forecast Sea Level Changes

Radin C., Nieves V., Vicens-Miquel M. and Alvarez-Morales J.
Climate, 12, 127, 2024
DOI

X-BASE: the first terrestrial carbon and water flux products from an extended data-driven scaling framework, FLUXCOM-X

Nelson J., Walther S., Kraft B., Gans F., Duveiller G., Weber U., Hamdi Z., Zhang W. and Jung M.
Biogeosciences, 21, 5079–5115, 2024
DOI

Emulation of Forward Modelled Top-Of-Atmosphere MODIS-based Spectral Channels using Machine Learning

Gonzalez J., Dipu S., Sourdeval O., Siméon A., Camps-Valls G. and Quaas J.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024
DOI

Functional connectivity via total correlation: Analytical results in visual areas

Li Q., Ver Steeg G. and Malo J.
Neurocomputing, 571, 127143, 2024
DOI

AI and remote sensing in ocean sciences

Camps-Valls G., Martinez E., Fablet R. and Jamet C.
Frontiers in Marine Science, 10, 1248591, 2024
DOI

CH4Net: a deep learning model for monitoring methane super-emitters with Sentinel-2 imagery

Vaughan A., Mateo-García G., Gómez-Chova L., Rŭžička V., Guanter L. and Irakulis-Loitxate I.
Atmospheric Measurement Techniques, 17, 2583–2593, 2024
DOI

CloudSEN12+: The largest dataset of expert-labeled pixels for cloud and cloud shadow detection in Sentinel-2

Aybar C., Bautista L., Montero D., Contreras J., Ayala D., Prudencio F., Loja J., Ysuhuaylas L., Herrera F., Gonzales K., Valladares J., Flores L. and others
Data in Brief, 56, 110852, 2024
DOI

A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth Observations

Brocca L., Massari C., Camici S., Tarpanelli A., Ciabatta L., Barbetta S., Dari J., Mosaffa H., Filippucci P., Modanesi S., Bonaccorsi B., Wagner W. and others
Frontiers in Science, 1, 2024
DOI

Explainable Deep Learning for Automatic Rock Classification

Zheng D., Zhong H., Camps-Valls G., Cao Z., Ma X., Mills B., Hu X., Hou M. and Ma C.
Computers & Geosciences, 184, 105511, 2024
URL DOI

Learning extreme vegetation response to climate drivers with recurrent neural networks

Martinuzzi F., Mahecha M., Camps-Valls G., Montero D., Williams T. and Mora K.
Nonlinear Processes in Geophysics, 31, 535–557, 2024
DOI

Domain knowledge-driven variational recurrent networks for drought monitoring

Zhang M., Fernández-Torres M. and Camps-Valls G.
Remote Sensing of Environment, 311, 114252, 2024
URL DOI

Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches

Dechant B., Kattge J., Pavlick R., Schneider F., Sabatini F., Moreno-Martínez Á., Butler E., van Bodegom P., Vallicrosa H., Kattenborn T., Boonman C., Madani N. and others
Remote Sensing of Environment, 311, 114276, 2024
DOI

Staged trees and asymmetry-labeled DAGs

Varando G., Carli F. and Leonelli M.
Metrika, 88, 1–28, 2024
DOI

Causal discovery reveals complex patterns of drought-induced displacement

Tárraga J., Sevillano-Marco E., Muñoz-Marí J., Piles M., Sitokonstantinou V., Ronco M., Miranda M., Cerdà J. and Camps-Valls G.
Iscience, 27, 110628, 2024
URL DOI

Within-season crop monitoring at continental scale utilizing new gap-filled Landsat temporal series

Rajadel-Lambistos C., Izquierdo-Verdiguier E., Moreno-Martínez A., Maneta M., Begueria S., Kimball J., Clinton N., Atzberger C., Camps-Valls G. and Running S.
International Journal of Digital Earth, 17, 2359577, 2024
DOI

A Comprehensive Benchmark for Optical Remote Sensing Image Super-Resolution

Aybar C., Montero D., Donike S., Kalaitzis F. and Gómez-Chova L.
IEEE Geoscience and Remote Sensing Letters, 21, 1-5, 2024
DOI

Digital twins of the Earth with and for humans

Hazeleger W., Aerts J., Bauer P., Bierkens M., Camps-Valls G., Dekker M., Doblas-Reyes F., Eyring V., Finkenauer C., Grundner A. and others
Nature Geoscience, 5, 463, 2024
DOI

AI-empowered next-generation multiscale climate modelling for mitigation and adaptation

Eyring V., Gentine P., Camps-Valls G., Lawrence D. and Reichstein M.
Nature Geoscience, 17, 963–971, 2024
DOI

Causal hybrid modeling with double machine learning - Applications in carbon flux modeling

Cohrs K., Varando G., Carvalhais N., Reichstein M. and Camps-Valls G.
Machine Learning: Science and Technology, 5, 035021, 2024
arXiv DOI Altimetric

Identifying compound weather drivers of forest biomass loss with generative deep learning

Anand M., Bohn F., Camps-Valls G., Fischer R., Huth A., Sweet L. and Zscheischler J.
Environmental Data Science, 3, e4, 2024
DOI

Analyzing the effect of shot noise in indirect Time-of-Flight cameras

Sanmartin-Vich N., Calpe J. and Pla F.
Signal Processing: Image Communication, 122, 117089, 2024
DOI

Global patterns of tree wood density

Yang H., Benson V., Zhang Y., Son R., Wang S., Zhang W., Zhang Y., Robin C., Schepaschenko D., Karaszewski Z., Krzysztof S., Moreno-Martínez Á. and others
Global Change Biology, 30, e17224, 2024
DOI

Pairwise causal discovery with support measure machines

Varando G., Catsis S., Diaz E. and Camps-Valls G.
Applied Soft Computing, 150, 111030, 2024
DOI

Retrieval of leaf-level fluorescence quantum efficiency and NPQ-related xanthophyll absorption through spectral unmixing strategies for future VIS-NIR imaging spectroscopy

Van Wittenberghe S., Amin E., Pascual-Venteo A., Pérez-Suay A., Tenjo C., Sabater N., van der Tol C., Drusch M. and Moreno J.
Remote Sensing of Environment, 300, 113879, 2024
DOI

Vegetation moisture estimation in the Western United States 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., Feldman A., Fink A. and others
Remote Sensing of Environment, 303, 113993, 2024
URL DOI

Explainable Earth Surface Forecasting under Extreme Events

Pellicer-Valero O., Fernández-Torres M., Ji C., Mahecha M. and Camps-Valls G.
arXiv preprint arXiv:2410.01770, 13, 2025
DOI

Large Language Models for Constrained-Based Causal Discovery

Cohrs K., Varando G., Diaz E., Sitokonstantinou V. and Camps-Valls G.
arXiv preprint arXiv:2406.07378, Submitted
DOI Altimetric

Multioutput Feature Selection for Emulation and Sensitivity Analysis

Vicent J., Martino L., Verrelst J., Rivera~Caicedo J. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 62, 1–11, 2024
DOI

Deep Learning with Noisy Labels for Spatio-Temporal Drought Detection

Cortés-Andrés J., Fernández-Torres M. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 1–12, 2024
DOI

Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward

Tuia D., Schindler K., Demir B., Zhu X., Kochupillai M., Džeroski S., van Rijn J., Hoos H., Frate F., Datcu M., Markl V., Saux B. and others
IEEE Geoscience and Remote Sensing Magazine, 13, 119-141, 2023
arXiv DOI

Fair Kernel Regression through Cross-Covariance Operators

Perez-Suay A., Gordaliza P., Loubes J., Sejdinovic D. and Camps-Valls G.
Transactions on Machine Learning Research, 2023, 2023
URL

Let's consider more general nonlinear approaches to study teleconnections of climate variables

Bueso D., Piles M. and Camps-Valls G.
Commentary a paper in the Journal of Climate, 1–5, 2023
arXiv DOI Altimetric

Soil and vegetation water content identify the main terrestrial ecosystem changes

Bueso D., Piles M., Ciais P., Wigneron J., Moreno-Martínez Á. and Camps-Valls G.
National Science Review, 10, 2023
DOI

A new class of generative classifiers based on staged tree models

Carli F., Leonelli M. and Varando G.
Knowledge-Based Systems, 268, 110488, 2023
DOI

Explainable artificial intelligence for cotton yield prediction with multisource data

Celik M., Isik M., Taskin G., Erten E. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 20, 1-5, 2023
DOI

Learning latent functions for causal discovery

Diaz A., Johnson J., Varando G. and Camps-Valls G.
Machine Learning: Science and Technology, 4, 1–44, 2023
PDF DOI

High-resolution grids of daily air temperature for Peru-the new PISCOt v1. 2 dataset

Huerta A., Aybar C., Imfeld N., Correa K., Felipe-Obando O., Rau P., Drenkhan F. and Lavado-Casimiro W.
Scientific data, 10, 847, 2023
DOI

A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research

Montero D., Aybar C., Mahecha M., Martinuzzi F., Söchting M. and Wieneke S.
Scientific Data, 10, 197, 2023
URL DOI

Global flood extent segmentation in optical satellite images

Portalés-Julià E., Mateo-García G., Purcell C. and Gómez-Chova L.
Scientific Reports, 13, 20316, 2023
DOI

Discovering causal relations and equations from data

Camps-Valls G., Gerhardus A., Ninad U., Varando G., Martius G., Balaguer-Ballester E., Vinuesa R., Diaz E., Zanna L. and Runge J.
Physics Reports, 1044, 1–68, 2023
arXiv DOI

Neural networks with divisive normalization for image segmentation

Hernández-Cámara P., Vila-Tomás J., Laparra V. and Malo J.
Pattern Recognition Letters, 173, 64–71, 2023
DOI Altimetric

Understanding cirrus clouds using explainable machine learning

Jeggle K., Neubauer D., Camps-Valls G. and Lohmann U.
Environmental Data Science, 2, e19, 2023
DOI

Machine-learned cloud classes from satellite data for process-oriented climate model evaluation

Kaps A., Lauer A., Camps-Valls G., Gentine P., Gómez-Chova L. and Eyring V.
IEEE Transactions on Geoscience and Remote Sensing, 61, 1–15, 2023
DOI

Improving air quality assessment using physics-inspired deep graph learning

Li L., Wang J., Franklin M., Yin Q., Wu J., Camps-Valls G., Zhu Z., Wang C., Ge Y. and Reichstein M.
npj Climate and Atmospheric Science, 6, 152, 2023
DOI

Assessing and improving the transferability of current global spatial prediction models

Ludwig M., Moreno-Martinez A., Hölzel N., Pebesma E. and Meyer H.
Global Ecology and Biogeography, 32, 356–368, 2023
DOI

Land use classification over smallholding areas in the European Common Agricultural Policy framework

Campos-Taberner M., García-Haro F., Martínez B., Sánchez-Ruiz S., Moreno-Martínez Á., Camps-Valls G. and Gilabert M.
ISPRS Journal of Photogrammetry and Remote Sensing, 197, 320–334, 2023
DOI

Improved forecasting of extreme hurricane events by integrating spatio-temporal CNN-RF learning of tropical cyclone characteristics

Martinez-Amaya J., Longepe N., Nieves V. and Muñoz-Marí J.
Frontiers in Earth Science, 11, 1223154, 2023
DOI

Interpretable Long-Short Term Memory Networks for Crop Yield Estimation

Mateo-Sanchis A., Adsuara J., Piles M., Munoz-Marí J., Perez-Suay A. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 20, 1–5, 2023
DOI

A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning

Mijares i Verdú S., Ballé J., Laparra V., Bartrina-Rapesta J., Hernández-Cabronero M. and Serra-Sagristà J.
Remote Sensing, 15, 4422, 2023
DOI

Estimation of vegetation traits with kernel NDVI

Wang Q., Moreno-Martínez Á., Muñoz-Marí J., Campos-Taberner M. and Camps-Valls G.
ISPRS Journal of Photogrammetry and Remote Sensing, 195, 408–417, 2023
DOI

Semantic segmentation of methane plumes with hyperspectral machine learning models

Růžička V., Mateo-Garcia G., Gómez-Chova L., Vaughan A., Guanter L. and Markham A.
Scientific Reports, 13, 19999, 2023
URL DOI

Multi-spectral multi-image super-resolution of Sentinel-2 with radiometric consistency losses and its effect on building delineation

Razzak M., Mateo-García G., Lecuyer G., Gómez-Chova L., Gal Y. and Kalaitzis F.
ISPRS Journal of Photogrammetry and Remote Sensing, 195, 1–13, 2023
DOI

Ocean carbon from space: Current status and priorities for the next decade

Brewin R., Sathyendranath S., Kulk G., Rio M., Concha J., Bell T., Bracher A., Fichot C., Frölicher T., Galí M., Hansell D., Kostadinov T. and others
Earth-Science Reviews, 240, 104386, 2023
DOI

Role of locality, fidelity and symmetry regularization in learning explainable representations

Ronco M. and Camps-Valls G.
Neurocomputing, 562, 126884, 2023
DOI

Exploring interactions between socioeconomic context and natural hazards on human population displacement

Ronco M., Tárraga Habas J., Muñoz Marí J., Piles M., Sevillano Marco E., Wang Q., Miranda Espinosa M., Ponserre S. and Camps-Valls G.
Nature Communications, 14, 8004, 2023
URL DOI

Causal inference for time series

Runge J., Gerhardus A., Varando G., Eyring V. and Camps-Valls G.
Nature Reviews Earth & Environment, 4, 487–505, 2023
DOI

Publisher Correction: Causal inference for time series

Runge J., Gerhardus A., Varando G., Eyring V. and Camps-Valls G.
Nature Reviews Earth & Environment, 4, 596–596, 2023
DOI

Shot Noise Analysis for Differential Sampling in Indirect Time of Flight Cameras

Sanmartín-Vich N., Calpe J. and Pla F.
IEEE Signal Processing Letters, 30, 46–49, 2023
DOI

Inference over radiative transfer models using variational and expectation maximization methods

Svendsen D., Hernandez-Lobato D., Martino L., Laparra V., Moreno-Martinez A. and Camps-Valls G.
Machine Learning, 112, 921–937, 2023
DOI

A scalable unsupervised feature selection with orthogonal graph representation for hyperspectral images

Taskin G., Yetkin E. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 61, 1–13, 2023
DOI

Multifidelity Gaussian process emulation for atmospheric radiative transfer models

Servera J., Martino L., Verrelst J. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 61, 1–10, 2023
DOI

Assessment of 9 km SMAP soil moisture: Evidence of narrowing the gap between satellite retrievals and model-based reanalysis

Xing Z., Li X., Fan L., Colliander A., Frappart F., de Rosnay P., Fernandez-Moran R., Liu X., Wang H., Zhao L. and Wigneron J.
Remote Sensing of Environment, 296, 113721, 2023
DOI

The First 30 years of GEWEX

Stephens G., Polcher J., Zeng X., van Oevelen P., Poveda G., Bosilovich M., Ahn M., Balsamo G., Duan Q., Hegerl G., Jakob C., Lamptey B. and others
Bulletin of the American Meteorological Society, 104, E126–E157, 2023
DOI

In-orbit demonstration of a re-trainable machine learning payload for processing optical imagery

Mateo-Garcia G., Veitch-Michaelis J., Purcell C., Longepe N., Reid S., Anlind A., Bruhn F., Parr J. and Mathieu P.
Scientific Reports, 13, 10391, 2023
DOI

Neural Networks with Divisive normalization for image segmentation with application in cityscapes dataset

Hernández-Cámara P., Laparra V. and Malo J.
arXiv preprint arXiv:2203.13558, 2022
DOI Altimetric

Neural network emulation of synthetic hyperspectral sentinel-2-like imagery with uncertainty

Morata M., Siegmann B., Pérez-Suay A., García-Soria J., Rivera-Caicedo J. and Verrelst J.
IEEE journal of selected topics in applied earth observations and remote sensing, 16, 762–772, 2022
DOI

Introducing ARTMO’s Machine-Learning Classification Algorithms Toolbox: Application to plant-type detection in a semi-steppe Iranian landscape

Aghababaei M., Ebrahimi A., Naghipour A., Asadi E., Pérez-Suay A., Morata M., Garcia J., Rivera Caicedo J. and Verrelst J.
Remote sensing, 14, 4452, 2022
DOI

Influence of atmospheric patterns on soil moisture dynamics in Europe

Almendra-Martín L., Martínez-Fernández J., Piles M., González-Zamora Á., Benito-Verdugo P. and Gaona J.
Sci. Total Environ., 846, 157537, 2022
DOI

CloudSEN12, a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2

Aybar C., Ysuhuaylas L., Loja J., Gonzales K., Herrera F., Bautista L., Yali R., Flores A., Diaz L., Cuenca N., Espinoza W., Prudencio F. and others
Scientific data, 9, 782, 2022
DOI

Retrieval of Physical Parameters With Deep Structured Kernel Regression

Camps-Valls G., Campos-Taberner M., Laparra V., Martino L. and Muñoz-Marí J.
IEEE Transactions on Geoscience and Remote Sensing, 60, 1–10, 2022
DOI

Commentary on ‘Physics-informed deep learning parameterization of ocean vertical mixing improves climate simulations’ by Zhu et al.

Camps-Valls G.
National Science Review, 9, nwac092, 2022
PDF DOI

The R Package stagedtrees for Structural Learning of Stratified Staged Trees

Carli F., Leonelli M., Riccomagno E. and Varando G.
Journal of Statistical Software, 102, 1–30, 2022
DOI Altimetric

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

Diaz E., Adsuara J., Moreno-Martinez A., Piles M. and Camps-Valls G.
Scientific Reports, 12, 1610, 2022
DOI

Toward estimation of seasonal water dynamics of winter wheat from ground-based L-band radiometry: a concept study

Jagdhuber T., Jonard F., Fluhrer A., Chaparro D., Baur M., Meyer T. and Piles M.
Biogeosciences, 19, 2273–2294, 2022
DOI

Physics-aware Nonparametric Regression Models for Earth Data Analysis

Cortés-Andrés J., Camps-Valls G., Sippel S., Székely E., Sejdinovic D., Diaz E., Pérez-Suay A., Li Z., Mahecha M. and Reichstein M.
Environmental Research Letters, 17, 2022
Code DOI

A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images

Li J., Wu Z., Sheng Q., Wang B., Hu Z., Zheng S., Camps-Valls G. and Molinier M.
Remote Sensing of Environment, 280, 113197, 2022
Code DOI

Wildfire Danger Prediction and Understanding with Deep Learning

Kondylatos S., Prapas I., Ronco M., Papoutsis I., Camps-Valls G., Piles M., Fernández-Torres M. and Carvalhais N.
Geophysical Research Letters, 49, 1–12, 2022
Code DOI

Analysis of soil moisture trends in Europe using rank-based and empirical decomposition approaches

Almendra-Martín L., Martínez-Fernández J., Piles M., González-Zamora Á., Benito-Verdugo P. and Gaona J.
Global and Planetary Change, 215, 103868, 2022
DOI

Contrast sensitivity functions in autoencoders

Li Q., Gomez-Villa A., Bertalmío M. and Malo J.
Journal of Vision, 22, 8–8, 2022
DOI

Functional Connectome of the Human Brain with Total Correlation

Li Q., Steeg G., Yu S. and Malo J.
Entropy, 24, 1725, 2022
DOI

A new SMAP soil moisture and vegetation optical depth product (SMAP-IB): Algorithm, assessment and inter-comparison

Li X., Wigneron J., Fan L., Frappart F., Yueh S., Colliander A., Ebtehaj A., Gao L., Fernandez-Moran R., Liu X., Wang M., Ma H. and others
Remote Sensing of Environment, 271, 112921, 2022
DOI

Information flow in biological networks for color vision

Malo J.
Entropy, 24, 1442, 2022
DOI

Quantifying uncertainty in high resolution biophysical variable retrieval with machine learning

Martínez-Ferrer L., Moreno-Martínez Á., Campos-Taberner M., García-Haro F., Muñoz-Marí J., Running S., Kimball J., Clinton N. and Camps-Valls G.
Remote Sensing of Environment, 280, 113199, 2022
DOI

Unsupervised Anomaly and Change Detection with Multivariate Gaussianization

Padron J., Laparra V. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 60, 1–10, 2022
arXiv DOI

Prototyping crop traits retrieval models for CHIME: Dimensionality reduction strategies applied to PRISMA data

Pascual-Venteo A., Portalés E., Berger K., Tagliabue G., Garcia J., Pérez-Suay A., Rivera-Caicedo J. and Verrelst J.
Remote sensing, 14, 2448, 2022
DOI

Supervised classifications of optical water types in Spanish inland waters

Pereira-Sandoval M., Ruescas A., García-Jimenez J., Blix K., Delegido J. and Moreno J.
Remote Sensing, 14, 5568, 2022
DOI

Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities

Persello C., Wegner J., Hänsch R., Tuia D., Ghamisi P., Koeva M. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Magazine, 10, 172–200, 2022
arXiv DOI

Impact of incidence angle diversity on SMOS and Sentinel-1 soil moisture retrievals at coarse and fine Scales

Portal G., Vall-llossera M., Piles M., Jagdhuber T., Camps A., Pablos M., López-Martínez C., Das N. and Entekhabi D.
IEEE Transactions on Geoscience and Remote Sensing, 60, 1–18, 2022
DOI

RaVÆn: unsupervised change detection of extreme events using ML on-board satellites

Rŭžička V., Vaughan A., De Martini D., Fulton J., Salvatelli V., Bridges C., Mateo-Garcia G. and Zantedeschi V.
Scientific reports, 12, 16939, 2022
DOI

Persistence in complex systems

Salcedo-Sanz S., Casillas-Pérez D., Del Ser J., Casanova-Mateo C., Cuadra L., Piles M. and Camps-Valls G.
Physics Reports, 957, 1–73, 2022
DOI

Satellite analyses unravel the multi-decadal impact of dam management on tropical floodplain vegetation

Salerno L., Moreno-Martínez Á., Izquierdo-Verdiguier E., Clinton N., Siviglia A. and Camporeale C.
Frontiers in Environmental Science, 10, 357, 2022
DOI

Environment-sensitivity functions for gross primary productivity in light use efficiency models

Bao S., Wutzler T., Koirala S., Cuntz M., Ibrom A., Besnard S., Walther S., Šigut L., Moreno A., Weber U., Wohlfahrt G., Cleverly J. and others
Agricultural and Forest Meteorology, 312, 108708, 2022
DOI

Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2

Skakun S., Wevers J., Brockmann C., Doxani G., Aleksandrov M., Batič M., Frantz D., Gascon F., Gómez-Chova L., Hagolle O., López-Puigdollers D., Louis J. and others
Remote Sensing of Environment, 274, 112990, 2022
DOI

Citizen science plant observations encode global trait patterns

Wolf S., Mahecha M., Sabatini F., Wirth C., Bruelheide H., Kattge J., Moreno Martínez Á., Mora K. and Kattenborn T.
Nature Ecology & Evolution, 6, 1850–1859, 2022
DOI

Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions

Svendsen D., Piles M., Muñoz-Marí J., Luengo D., Martino L. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 60, 1–15, 2022
URL arXiv DOI

Graph Embedding via High Dimensional Model Representation for Hyperspectral Images

Taskin G. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 60, 1–11, 2022
arXiv 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, Mathematics Education in the Digital Era, 89–106, 2022
DOI

ClimateBench v1.0: A Benchmark for Data-Driven Climate Projections

Watson‐Parris D., Rao Y., Oliviè D., Seland Ø., Nowack P., Camps-Valls G., Stier P., Bouabid S., Dewey M., Fons E., González J., Harder P. and others
Journal of Advances in Modeling Earth Systems, 14, e2021MS002954, 2022
DOI

Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness

Li Z., Pérez-Suay A., Camps-Valls G. and Sejdinovic D.
Pattern Recognition, 132, 108922, 2022
arXiv DOI Altimetric

Are remote sensing evapotranspiration models reliable across South American ecoregions?

Melo D., Anache J., Borges V., Miralles D., Martens B., Fisher J., Nóbrega R., Moreno A., Cabral O., Rodrigues T., Bezerra B., Silva C. and others
Water Resources Research, 57, e2020WR028752, 2022
DOI

Autocorrelation metrics to estimate soil moisture persistence from satellite time series: application to semiarid regions

Piles M., Muñoz-Marí J., Guerrero-Curieses A., Camps-Valls G. and Rojo-Álvarez J.
IEEE Transactions on Geoscience and Remote Sensing, 60, 1–17, 2021
DOI

Comparison of gap-filling techniques applied to the CCI soil moisture database in Southern Europe

Almendra-Martín L., Martínez-Fernández J., Piles M. and González-Zamora Á.
Remote Sens. Environ., 258, 112377, 2021
DOI

Learning relevant features of optical water types

Blix K., Ruescas A., Johnson J. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 19, 1–5, 2021
DOI

A unified vegetation index for quantifying the terrestrial biosphere

Camps-Valls G., Campos-Taberner M., Moreno-Martínez Á., Walther S., Duveiller G., Cescatti A., Mahecha M., Muñoz-Marí J., García-Haro F., Guanter L., Jung M., Gamon J. and others
Science Advances., 7, 2021
Code DOI

Perspective on deep learning for earth sciences

Camps-Valls G.
Generalization with Deep Learning: for Improvement on Sensing Capability, 159–173, 2021
DOI

Towards a novel approach for Sentinel-3 synergistic OLCI/SLSTR cloud and cloud shadow detection based on stereo cloud-top height estimation

Fernandez-Moran R., Gómez-Chova L., Alonso L., Mateo-García G. and López-Puigdollers D.
ISPRS Journal of Photogrammetry and Remote Sensing, 181, 238–253, 2021
DOI

Emergent vulnerability to climate-driven disturbances in European forests

Forzieri G., Girardello M., Ceccherini G., Spinoni J., Feyen L., Hartmann H., Beck P., Camps-Valls G., Chirici G., Mauri A. and Cescatti A.
Nature Communications, 12, 2021
DOI

Spatial homogeneity from temporal stability: Exploiting the combined hyper-frequent revisit of Terra and Aqua to guide Earth System Science

Duveiller G., Camps-Valls G., Ceccherini G. and Cescatti A.
Remote Sensing of Environment, 261, 112496, 2021
DOI

Gaussianizing the Earth: Multidimensional Information Measures for Earth Data Analysis

Johnson J., Laparra V., Piles M. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Magazine, 9, 191–208, 2021
PDF arXiv Code DOI

Correction: Kernel methods and their derivatives: Concept and perspectives for the earth system sciences

Johnson J., Laparra V., Pérez-Suay A., Mahecha M. and Camps-Valls G.
Plos One, 16, e0246775, 2021
URL DOI

Benchmarking Deep Learning Models for Cloud Detection in Landsat-8 and Sentinel-2 Images

López-Puigdollers D., Mateo-García G. and Gómez-Chova L.
Remote Sensing, 13, 992, 2021
DOI

Computing variations of entropy and redundancy under nonlinear mappings not preserving the signal dimension: quantifying the efficiency of V1 cortex

Li Q., Johnson E., Esteve-Taboada J., Laparra V. and Malo J.
Entropy, 9813, 2021
DOI

Deep importance sampling based on regression for model inversion and emulation

Llorente F., Martino L., Delgado-Gómez D. and Camps-Valls G.
Digital Signal Processing, 116, 103104, 2021
arXiv DOI

Visual Information Fidelity with better Vision Models and better Mutual Information Estimates

Malo J., Kheravdar B. and Li Q.
Journal of Vision, 21, 2351–2351, 2021
DOI

Crop Yield Estimation and Interpretability With Gaussian Processes

Martínez-Ferrer L., Piles M. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 18, 2043–2047, 2021
DOI

Time-variations of zeroth-order vegetation absorption and scattering at L-band

Baur M., Jagdhuber T., Feldman A., Chaparro D., Piles M. and Entekhabi D.
Remote Sensing of Environment, 267, 112726, 2021
DOI

Compressed particle methods for expensive models with application in Astronomy and Remote Sensing

Martino L., Elvira V., López-Santiago J. and Camps-Valls G.
Transactions on Aerospace and Electronic Systems, 57, 2607–2621, 2021
DOI

Towards global flood mapping onboard low cost satellites with machine learning

Mateo-Garcia G., Veitch-Michaelis J., Smith L., Oprea S., Schumann G., Gal Y., Baydin A. and Backes D.
Scientific Reports, 11, 7249, 2021
DOI

Learning main drivers of crop progress and failure in Europe with interpretable machine learning

Mateo-Sanchis A., Piles M., Amorós-López J., Muñoz-Marí J., Adsuara J., Moreno-Martínez Á. and Camps-Valls G.
International Journal of Applied Earth Observation and Geoinformation, 104, 102574, 2021
DOI

Initialized Earth System prediction from subseasonal to decadal timescales

Meehl G., Richter J., Teng H., Capotondi A., Cobb K., Doblas-Reyes F., Donat M., England M., Fyfe J., Weiqing H., Hyemi K., Kirtman B. and others
Nature Reviews Earth & Environment, 2, 1–18, 2021
DOI

ERA5-Land: A state-of-the-art global reanalysis dataset for land applications

Muñoz-Sabater J., Dutra E., Agustí-Panareda A., Albergel C., Arduini G., Balsamo G., Boussetta S., Choulga M., Harrigan S., Hersbach H., Martens B., Miralles D. and others
Earth system science data, 13, 4349–4383, 2021
DOI

Predicting regional coastal sea level changes with machine learning

Nieves V., Radin C. and Camps-Valls G.
Scientific Reports, 11, 7650, 2021
DOI

Machine-Learning Based Reconstructions of Past Regional Sea Level Variability From Proxy Data

Radin C. and Nieves V.
Geophysical Research Letters, 48, e2021GL095382, 2021
DOI

Long-term Persistence, Invariant Time Scales and On-off Intermittency of Fog Events

Salcedo-Sanz S., Piles M., Cuadra L., Casanova-Mateo C., Caamaño A., Sanz-Justo J., Cerro-Prada E. and Camps-Valls G.
Atmospheric Research, 252, Apr, 2021
DOI

Long-term persistence, invariant time scales and on-off intermittency of fog events

Salcedo-Sanz S., Piles M., Cuadra L., Casanova-Mateo C., Caamaño A., Cerro-Prada E. and Camps-Valls G.
Atmospheric Research, 252, 105456, 2021
DOI

The added-value of remotely-sensed soil moisture data for agricultural drought detection in Argentina

Salvia M., Sánchez N., Piles M., Ruscica R., González-Zamora Á., Roitberg E. and Martínez-Fernández J.
IEEE journal of selected topics in applied earth observations and remote sensing, 14, 6487–6500, 2021
DOI

The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations

Santoro M., Cartus O., Carvalhais N., Rozendaal D., Avitabile V., Araza A., de Bruin S., Herold M., Quegan S., Rodríguez-Veiga P., Balzter H., Carreiras J. and others
Earth System Science Data, 13, 3927–3950, 2021
DOI

Deep learning and citizen science enable automated plant trait predictions from photographs

Schiller C., Schmidtlein S., Boonman C., Moreno-Martínez A. and Kattenborn T.
Scientific Reports, 11, 1–12, 2021
DOI

A physiology-based Earth observation model indicates stagnation in the global gross primary production during recent decades

Tagesson T., Tian F., Schurgers G., Horion S., Scholes R., Ahlström A., Ardö J., Moreno A., Madani N., Olin S. and Fensholt R.
Global change biology, 27, 836–854, 2021
DOI

Towards a Collective Agenda on AI for Earth Science Data Analysis

Tuia D., Roscher R., Wegner J., Jacobs N., Zhu X. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Magazine, 9, 88–104, 2021
arXiv DOI

Systematic assessment of MODTRAN emulators for atmospheric correction

Servera J., Rivera-Caicedo J., Verrelst J., Muñoz-Marí J., Sabater N., Berthelot B., Camps-Valls G. and Moreno J.
IEEE Transactions on Geoscience and Remote Sensing, 60, 1–17, 2021
DOI

Seamless downscaling of the ESA CCI soil moisture data at the daily scale with MODIS land products

Zhao W., Wen F., Wang Q., Sánchez N. and Piles M.
Journal of Hydrology, 603, 126930, 2021
DOI

Estimation of vegetation structure parameters from SMAP radar intensity observations

Jagdhuber T., Montzka C., Lopez-Martinez C., Baur M., Link M., Piles M., Das N. and Jonard F.
IEEE transactions on geoscience and remote sensing, 59, 151–167, 2021
URL PDF DOI

Spatio-Temporal Gaussianization Flows for Extreme Event Detection

Fernández-Torres M., Johnson J., Piles M. and Camps-Valls G.
EGU General Assembly Conference Abstracts, EGU21–15729, 2021
DOI

Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud

Moreno-Martínez Á., Izquierdo-Verdiguier E., Maneta M., Camps-Valls G., Robinson N., Muñoz-Marí J., Sedano F., Clinton N. and Running S.
Remote Sensing of Environment, 247, 111901, 2020
DOI

Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt

Wolanin A., Mateo-García G., Camps-Valls G., Gómez-Chova L., Meroni M., Duveiller G., Liangzhi Y. and Guanter L.
Environmental research letters, 15, 024019, 2020
DOI

Retrieval of aboveground crop nitrogen content with a hybrid machine learning method

Berger K., Verrelst J., Féret J., Hank T., Wocher M., Mauser W. and Camps-Valls G.
International Journal of Applied Earth Observation and Geoinformation, 92, 102174, 2020
DOI

Nonlinear PCA for Spatio-Temporal Analysis of Earth Observation Data

Bueso D., Piles M. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 58, 5752–5763, 2020
arXiv DOI

Understanding deep learning in land use classification based on Sentinel-2 time series

Campos-Taberner M., García-Haro F., Martínez B., Izquierdo-Verdiguier E., Atzberger C., Camps-Valls G. and Gilabert M.
Scientific reports, 10, 17188, 2020
DOI

Deep Gaussian processes for biogeophysical parameter retrieval and model inversion

Svendsen D., Morales-Álvarez P., Ruescas A., Molina R. and Camps-Valls G.
ISPRS Journal of Photogrammetry and Remote Sensing, 166, 68–81, 2020
DOI

Explicit Granger Causality in Kernel Hilbert Spaces

Bueso D., Piles M. and Camps-Valls G.
Physical Review E, 102, 062201, 2020
arXiv DOI

A global Canopy Water Content product from AVHRR/Metop

García-Haro F., Campos-Taberner M., Moreno A., Torbern~Tagesson H., Camacho F., Martínez B., Sánchez S., Piles M., Camps-Valls G., Yebra M. and Gilabert M.
ISPRS Journal of Photogrammetry and Remote Sensing, 161, 1–18, 2020
DOI

Color illusions also deceive CNNs for low-level vision tasks: Analysis and implications

Gómez-Villa A., Martín A., Vazquez-Corral J., Bertalmío M. and Malo J.
Vision Research, 176, 156–174, 2020
DOI

Information Theory Measures via Multidimensional Gaussianization

Laparra V., Johnson J., Camps-Valls G., Santos-Rodríguez R. and Malo J.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 47, 1293-1308, 2020
arXiv Code DOI

Visual information flow in Wilson–Cowan networks

Gómez-Villa A., Bertalmío M. and Malo J.
Journal of Neurophysiology, 123, 2249–2268, 2020
DOI

Summarizing the state of the terrestrial biosphere in few dimensions

Kraemer G., Camps-Valls G., Reichstein M. and Mahecha M.
Biogeosciences, 17, 2397–2424, 2020
DOI

The low dimensionality of development

Kraemer G., Reichstein M., Camps-Valls G., Smits J. and Mahecha M.
Social Indicators Research, 150, 999–1020, 2020
DOI

Understanding of Contemporary Regional Sea-level Change and the Implications for the Future

Hamlington B., Gardner A., Ivins E., Lenaerts J., Reager J., Trossman D., Zaron E., Adhikari S., Arendt A., Aschwanden A., Beckley B., Bekaert D. and others
Reviews of Geophysics, 58, e2019RG000672, 2020
DOI

TRY plant trait database–enhanced coverage and open access

Kattge J., Bönisch G., Díaz S., Lavorel S., Prentice I., Leadley P., Tautenhahn S., Werner G., Aakala T., Abedi M., Acosta A., Adamidis G. and others
Global change biology, 26, 119–188, 2020
DOI

Accounting for input noise in Gaussian process parameter retrieval

Johnson J., Laparra V. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 17, 391–395, 2020
arXiv Code DOI

Efficient nonlinear RX anomaly detectors

Hidalgo J., Pérez-Suay A., Nar F. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 18, 231–235, 2020
DOI

Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data

Estévez J., Vicent J., Rivera-Caicedo J., Morcillo-Pallarés P., Vuolo F., Sabater N., Camps-Valls G., Moreno J. and Verrelst J.
ISPRS Journal of Photogrammetry and Remote Sensing, 167, 289–304, 2020
DOI

Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach

Jung M., Schwalm C., Migliavacca M., Walther S., Camps-Valls G., Koirala S., Anthoni P., Besnard S., Bodesheim P., Carvalhais N., Chevallier F., Gans F. and others
Biogeosciences, 17, 1343–1365, 2020
DOI

Spatio-chromatic information available from different neural layers via Gaussianization

Malo J.
The Journal of Mathematical Neuroscience, 10, 1–40, 2020
DOI

Evidence for the intrinsically nonlinear nature of receptive fields in vision

Bertalmío M., Gomez-Villa A., Martín A., Vazquez-Corral J., Kane D. and Malo J.
Scientific reports, 10, 16277, 2020
DOI

Transferring deep learning models for cloud detection between Landsat-8 and Proba-V

Mateo-García G., Laparra V., López-Puigdollers D. and Gómez-Chova L.
ISPRS Journal of Photogrammetry and Remote Sensing, 160, 1–17, 2020
DOI

Earth system data cubes unravel global multivariate dynamics

Mahecha M., Gans F., Brandt G., Christiansen R., Cornell S., Fomferra N., Kraemer G., Peters J., Bodesheim P., Camps-Valls G., Donges J., Dorigo W. and others
Earth System Dynamics, 11, 201–234, 2020
DOI

Machine Learning Methods for Spatial and Temporal Parameter Estimation

Moreno-Martínez Á., Piles M., Muñoz-Marí J., Campos-Taberner M., Adsuara J., Mateo A., Perez-Suay A., Javier García-Haro F. and Camps-Valls G.
Hyperspectral Image Analysis: Advances in Machine Learning and Signal Processing, 5–35, 2020
URL DOI

Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change Detection

Padrón-Hidalgo J., Pérez-Suay A., Nar F., Laparra V. and Camps-Valls G.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 5480–5488, 2020
DOI

Assessment of multi-scale SMOS and SMAP soil moisture products across the Iberian Peninsula

Portal G., Jagdhuber T., Vall-Llossera M., Camps A., Pablos M., Entekhabi D. and Piles M.
Remote Sensing, 12, 570, 2020
DOI

Spatio-temporal soil drying in southeastern South America: the importance of the effective sampling frequency and observational errors on drydown time scale estimates

Ruscica R., Polcher J., Salvia M., Sörensson A., Piles M., Jobbagy E. and Karszenbaum H.
International Journal of Remote Sensing, 41, 7958–7992, 2020
DOI

Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources

Salcedo-Sanz S., Ghamisi P., Piles M., Werner M., Cuadra L., Moreno-Martínez A., Izquierdo-Verdiguier E., Muñoz-Marí J., Mosavi A. and Camps-Valls G.
Information Fusion, 63, 256–272, 2020
DOI

Estimation of oceanic particulate organic carbon with machine learning

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

Combined dynamics of the 500-600 nm leaf absorption and chlorophyll fluorescence changes in vivo: evidence for the multifunctional energy quenching role of xanthophylls

Van Wittenberghe S., Laparra V., García-Plazaola J., Fernández-Marín B., Porcar-Castell A. and Moreno J.
Biochimica et Biophysica Acta (BBA) - Bioenergetics, 1862, 148351, 2020
DOI

Active Emulation of Computer Codes with Gaussian Processes – Application to Remote Sensing

Svendsen D., Martino L. and Camps-Valls G.
Pattern Recognition, 100, 1–12, 2020
DOI

Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks

Tramontana G., Migliavacca M., Jung M., Reichstein M., Keenan T., Camps-Valls G., Ogee J., Verrelst J. and Papale D.
Global change biology, 26, 5235–5253, 2020
DOI

Assessment and inter-comparison of recently developed/reprocessed microwave satellite soil moisture products using ISMN ground-based measurements

Al-Yaari A., Wigneron J., Dorigo W., Colliander A., Pellarin T., Hahn S., Mialon A., Richaume P., Fernández-Moran R., Fan L., Kerr Y. and De Lannoy G.
Remote Sensing of Environment, 224, 289–303, 2019
DOI

Synergistic Integration of Optical and Microwave Satellite Data for Crop Yield Estimation

Mateo-Sanchis A., Piles M., Muñoz-Marí J., Adsuara J., Pérez-Suay A. and Camps-Valls G.
Remote Sensing of Environment, 234, 111460, 2019
DOI

Sensitivity of L-band vegetation optical depth to carbon stocks in tropical forests: a comparison to higher frequencies and optical indices

Chaparro D., Duveiller G., Piles M., Cescatti A., Vall-Llossera M., Camps A. and Entekhabi D.
Remote Sensing of Environment, 232, 111303, 2019
DOI

Satellite-observed pantropical carbon dynamics

Fan L., Wigneron J., Ciais P., Chave J., Brandt M., Fensholt R., Saatchi S., Bastos A., Al-Yaari A., Hufkens K., Qin Y., Xiao X. and others
Nature Plants, 5, 944–951, 2019
DOI

Improved statistically based retrievals via spatial-spectral data compression for IASI data

Garcia-Sobrino J., Laparra V., Serra-Sagristà J., Calbet X. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 57, 5651–5668, 2019
DOI

A Perspective on Gaussian Processes for Earth Observation

Camps-Valls G., Sejdinovic D., Runge J. and Reichstein M.
National Science Review, 6, 616–618, 2019
DOI

A carbon sink-driven approach to estimate gross primary production from microwave satellite observations

Teubner I., Forkel M., Camps-Valls G., Jung M., Miralles D., Tramontana G., Van der Schalie R., Vreugdenhil M., Mösinger L. and Dorigo W.
Remote Sensing of Environment, 229, 100–113, 2019
DOI

Foreword to the Special Issue on IGARSS 2018

Moreno J., Sobrino J. and Camps-Valls G.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 12, 2012–2014, 2019
DOI

Nonlinear distribution regression for remote sensing applications

Adsuara J., Pérez-Suay A., Muñoz-Marí J., Mateo-Sanchis A., Piles M. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 57, 10025–10035, 2019
DOI

The FLUXCOM ensemble of global land-atmosphere energy fluxes

Jung M., Koirala S., Weber U., Ichii K., Gans F., Camps-Valls G., Papale D., Schwalm C., Tramontana G. and Reichstein M.
Scientific Data, 6, 2019
arXiv DOI

Simultaneous retrieval of global scale Vegetation Optical Depth, surface roughness, and soil moisture using X-band AMSR-E observations

Karthikeyan L., Pan M., Konings A., Piles M., Fernandez-Moran R., Kumar D. and Wood E.
Remote Sensing of Environment, 234, 111473, 2019
URL DOI

Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes

Pipia L., Muñoz-Marí J., Amin E., Belda S., Camps-Valls G. and Verrelst J.
Remote Sensing of Environment, 235, 111452, 2019
DOI

Dominant features of global surface soil moisture variability observed by the SMOS satellite

Piles M., Ballabrera-Poy J. and Muñoz-Sabater J.
Remote Sensing, 11, 95, 2019
DOI

Statistical retrieval of atmospheric profiles with deep convolutional neural networks

Malmgren-Hansen D., Laparra V., Nielsen A. and Camps-Valls G.
ISPRS Journal of Photogrammetry and Remote Sensing, 158, 231–240, 2019
DOI

Activities of the IEEE GRSS Spain Chapter

Marcello J., Piles M., Camps-Valls G., López-Martínez C., álvarez-Pérez J. and Plaza A.
IEEE Geoscience and Remote Sensing Magazine, 7, 177–180, 2019
PDF DOI

Estimating Gravimetric Water Content of a Winter Wheat Field from L-Band Vegetation Optical Depth

Meyer T., Jagdhuber T., Piles M., Fink A., Grant J., Vereecken H. and Jonard F.
Remote Sensing, 11, 2353, 2019
DOI

Satellite data-driven modeling of field scale evapotranspiration in croplands using the MOD16 algorithm framework

He M., Kimball J., Yi Y., Running S., Guan K., Moreno A., Wu X. and Maneta M.
Remote Sensing of Environment, 230, 111201, 2019
DOI

Kernel anomalous change detection for remote sensing imagery

Padrón-Hidalgo J., Laparra V., Longbotham N. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 57, 7743–7755, 2019
DOI

Deep learning and process understanding for data-driven Earth system science

Reichstein M., Camps-Valls G., Stevens B., Jung M., Denzler J., Carvalhais N. and Prabhat F.
Nature, 566, 195–204, 2019
DOI

Rangeland productivity partitioned to sub-pixel plant functional types

Robinson N., Jones M., Moreno A., Erickson T., Naugle D. and Allred B.
Remote Sensing, 11, 1427, 2019
DOI

Inferring causation from time series in Earth system sciences

Runge J., Bathiany S., Bollt E., Camps-Valls G., Coumou D., Deyle E., Glymour C., Kretschmer M., Mahecha M., Muñoz-Marí J., van Nes E., Peters J. and others
Nature communications, 10, 1–13, 2019
DOI

Growing stock volume from multi-temporal landsat imagery through google earth engine

Sanchez-Ruiz S., Moreno-Martinez A., Izquierdo-Verdiguier E., Chiesi M., Maselli F. and Gilabert M.
International Journal of Applied Earth Observation and Geoinformation, 83, 101913, 2019
DOI

Gradient-based Automatic Look-Up Table Generator for Radiative Transfer Models

Vicent J., Alonso L., Martino L., Sabater N., Verrelst J., Camps-Valls G. and Moreno J.
IEEE Transactions on Geoscience and Remote Sensing, 57, 1040–1048, 2019
arXiv DOI

Satellite observations of the contrasting response of trees and grasses to variations in water availability

Walther S., Duveiller G., Jung M., Guanter L., Cescatti A. and Camps-Valls G.
Geophysical Research Letters, 46, 1429–1440, 2019
DOI

Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations

Wolanin A., Camps-Valls G., Gómez-Chova L., Mateo-García G., van der Tol C., Zhang Y. and Guanter L.
Remote sensing of environment, 225, 441–457, 2019
DOI

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

Yin C., Lopez-Baeza E., Martin-Neira M., Fernandez-Moran R., Yang L., Navarro-Camba E., Egido A., Mollfulleda A., Li W., Cao Y., Zhu B. and Yang D.
Sensors, 19, 1900, 2019
DOI

Causal inference in geoscience and remote sensing from observational data

Pérez-Suay A. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 57, 1502–1513, 2018
DOI

A critical comparison of remote sensing Leaf Area Index estimates over rice-cultivated areas: From Sentinel-2 and Landsat-7/8 to MODIS, GEOV1 and EUMETSAT polar system

Campos-Taberner M., García-Haro F., Busetto L., Ranghetti L., Martínez B., Gilabert M., Camps-Valls G., Camacho F. and Boschetti M.
Remote Sensing, 10, 763, 2018
DOI

Global estimation of biophysical variables from Google Earth Engine platform

Campos-Taberner M., Moreno-Martínez Á., García-Haro F., Camps-Valls G., Robinson N., Kattge J. and Running S.
Remote Sensing, 10, 1167, 2018
DOI

Physics-aware Gaussian processes in remote sensing

Camps-Valls G., Martino L., Svendsen D., Campos-Taberner M., Muñoz-Marí J., Laparra V., Luengo D. and García-Haro F.
Applied Soft Computing, 68, 69–82, 2018
DOI

L-band vegetation optical depth seasonal metrics for crop yield assessment

Chaparro D., Piles M., Vall-Llossera M., Camps A., Konings A. and Entekhabi D.
Remote Sensing of Environment, 212, 249–259, 2018
DOI

Evaluation of microwave remote sensing for monitoring live fuel moisture content in the Mediterranean region

Fan L., Wigneron J., Xiao Q., Al-Yaari A., Wen J., Martin-StPaul N., Dupuy J., Pimont F., Al Bitar A., Fernandez-Moran R. and Kerr Y.
Remote Sensing of Environment, 205, 210–223, 2018
DOI

Derivation of global vegetation biophysical parameters from EUMETSAT Polar System

García-Haro F., Campos-Taberner M., Muñoz-Marí J., Laparra V., Camacho F., Sanchez-Zapero J. and Camps-Valls G.
ISPRS Journal of Photogrammetry and Remote Sensing, 139, 57–74, 2018
DOI

Signal-to-noise ratio in reproducing kernel Hilbert spaces

Gómez-Chova L., Santos-Rodríguez R. and Camps-Valls G.
Pattern Recognition Letters, 112, 75–82, 2018
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.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, 1883–1894, 2018
DOI

Assessing the relationship between microwave vegetation optical depth and gross primary production

Teubner I., Forkel M., Jung M., Liu Y., Miralles D., Parinussa R., van der Schalie R., Vreugdenhil M., Schwalm C., Tramontana G., Camps-Valls G. and Dorigo W.
International Journal of Applied Earth Observation and Geoinformation, 65, 79–91, 2018
DOI

The Recycling Gibbs sampler for efficient learning

Martino L., Elvira V. and Camps-Valls G.
Digital Signal Processing, 74, 1–13, 2018
DOI

A review of multiple try MCMC algorithms for signal processing

Martino L.
Digital Signal Processing, 75, 134–152, 2018
DOI

Derivatives and inverse of cascaded linear+ nonlinear neural models

Martinez-Garcia M., Cyriac P., Batard T., Bertalmío M. and Malo J.
PloS one, 13, e0201326, 2018
arXiv DOI

Group Importance Sampling for Particle Filtering and MCMC

Martino L., Elvira V. and Camps-Valls G.
Digital Signal Processing, 82, 133–151, 2018
DOI

Multitemporal Cloud Masking in the Google Earth Engine

Mateo-García G., Gómez-Chova L., Amorós-López J., Muñoz-Marí J. and Camps-Valls G.
Remote Sensing, 10, 1079, 2018
DOI

Warped Gaussian processes in remote sensing parameter estimation and causal inference

Mateo-Sanchis A., Muñoz-Marí J., Pérez-Suay A. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 15, 1647–1651, 2018
DOI

A methodology to derive global maps of leaf traits using remote sensing and climate data

Moreno-Martínez Á., Camps-Valls G., Kattge J., Robinson N., Reichstein M., van Bodegom P., Kramer K., Cornelissen J., Reich P., Bahn M., Niinemets Ü., Peñuelas J. and others
Remote sensing of environment, 218, 69–88, 2018
DOI

Integrated remote sensing approach to global agricultural drought monitoring

Sánchez N., González-Zamora Á., Martínez-Fernández J., Piles M. and Pablos M.
Agricultural and Forest Meteorology, 259, 141–153, 2018
DOI

Remote Sensing Image Classification With Large-Scale Gaussian Processes

Morales-Alvarez P., Pérez-Suay A., Molina R. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 56, 1103–1114, 2018
DOI

Pattern recognition scheme for large-scale cloud detection over landmarks

Pérez-Suay A., Amorós-López J., Gómez-Chova L., Muñoz-Marí J., Just D. and Camps-Valls G.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, 3977–3987, 2018
DOI

Earth Observation-Based Operational Estimation of Soil Moisture and Evapotranspiration for Agricultural Crops in Support of Sustainable Water Management

Petropoulos G., Srivastava P., Piles M. and Pearson S.
Sustainability, 10, 181, 2018
DOI

Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data

Ruescas A., Hieronymi M., Mateo-García G., Koponen S., Kallio K. and Camps-Valls G.
Remote Sensing, 10, 786, 2018
DOI

Analysis of the Radar Vegetation Index and Potential Improvements

Szigarski C., Jagdhuber T., Baur M., Thiel C., Parrens M., Wigneron J., Piles M. and Entekhabi D.
Remote Sensing, 10, 1776, 2018
DOI

Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods

Verrelst J., Malenovsky Z., Van der Tol C., Camps-Valls G., Gastellu-Etchegorry J., Lewis P., North P. and Moreno J.
Surveys in Geophysics, 40, 589–629, 2018
DOI

Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes

Vicent J., Verrelst J., Rivera-Caicedo J., Sabater N., Muñoz-Marí J., and Camps-Valls G. and Moreno J.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, 4918–4931, 2018
DOI

Adaptive Rejection Sampling Methods

Martino L., Luengo D., Míguez J., Martino L., Luengo D. and Míguez J.
Independent Random Sampling Methods, 115–157, 2018
DOI

Joint Gaussian Processes for Biophysical Parameter Retrieval

Svendsen D., Martino L., Campos-Taberner M., García-Haro F. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 56, 1718–1727, 2017
arXiv DOI

Nonlinear Time-Series Adaptation for Land Cover Classification

Bailly A., Chapel L., Tavenard R. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, Pp, 1–5, 2017
DOI

Comparison of measured brightness temperatures from SMOS with modelled ones from ORCHIDEE and H-TESSEL over the Iberian Peninsula

Barella-Ortiz A., Polcher J., De Rosnay P., Piles M. and Gelati E.
Hydrology and Earth System Science, 21, 357–375, 2017
DOI

Sensitivity maps of the Hilbert–Schmidt independence criterion

Pérez-Suay A. and Camps-Valls G.
Applied Soft Computing, 70, 1054–1063, 2017
arXiv DOI

Randomized kernels for large scale Earth observation applications

Pérez-Suay A., Amorós-López J., Gómez-Chova L., Laparra V., Muñoz-Marí J. and Camps-Valls G.
Remote Sensing of Environment, 202, -, 2017
DOI

L-band vegetation optical depth and effective scattering albedo estimation from SMAP

Konings A., Piles M., Das N. and Entekhabi D.
Remote Sensing of Environment, 198, 460–470, 2017
DOI

Diurnal cycle relationships between passive fluorescence, PRI and NPQ of vegetation in a controlled stress experiment

Alonso L., Van Wittenberghe S., Amorós-López J., Vila-Francés J., Gómez-Chova L. and Moreno J.
Remote Sensing, 9, 770, 2017
DOI

Gaussian process sensitivity analysis for oceanic chlorophyll estimation

Blix K., Camps-Valls G. and Jenssen R.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 1265–1277, 2017
DOI

Clasificación de usos del suelo a partir de imágenes Sentinel-2

Borràs J., Delegido J., Pezzola A., Pereira M., Morassi G. and Camps-Valls G.
Revista de Teledetección, 55–66, 2017
DOI

Development of an Earth observation processing chain for crop biophysical parameters at local and global scale

Campos-Taberner M., García-Haro F. and Camps-Valls G.
Revista de Teledeteccion, 101–104, 2017
DOI

The Role of Climatic Anomalies and Soil Moisture in the Decline of Drought-Prone Forests

Chaparro D., Vayreda J., Vall-llossera M., Banqué M., Piles M., Camps A. and Martínez-Vilalta J.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 503–514, 2017
DOI

Optimized Kernel Entropy Components

Izquierdo-Verdiguier E., Laparra V., Jenssen R., Gómez-Chova L. and Camps-Valls G.
IEEE transactions on neural networks and learning systems, 28, 1466–1472, 2017
DOI

SMOS-IC: An alternative SMOS soil moisture and vegetation optical depth product

Fernández-Moran R., Al-Yaari A., Mialon A., Mahmoodi A., Al Bitar A., De Lannoy G., Rodríguez-Fernández N., López-Baeza E., Kerr Y. and Wigneron J.
Remote Sensing, 9, 457, 2017
DOI

A new calibration of the effective scattering albedo and soil roughness parameters in the SMOS SM retrieval algorithm

Fernández-Moran R., Wigneron J., De Lannoy G., López-Baeza E., Parrens M., Mialon A., Mahmoodi A., Al-Yaari A., Bircher S., Al Bitar A., Richaume P. and Kerr Y.
International Journal of Applied Earth Observation and Geoinformation, 62, 27–38, 2017
DOI

Cloud masking and removal in remote sensing image time series

Gómez-Chova L., Amoros-López J., Mateo-García G., Muñoz-Marí J. and Camps-Valls G.
Journal of Applied Remote Sensing, 11, 015005, 2017
DOI

Statistical Atmospheric Parameter Retrieval Largely Benefits from Spatial-Spectral Image Compression

García Sobrino J., Serra-Sagrista, Laparra V., Calbet X. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 55, 2213–2224, 2017
DOI

Computer Science Meets Ecology (Dagstuhl Seminar 17091)

Camps-Valls G., Hickler T. and König-Ries B.
Dagstuhl Reports, 7, 109–134, 2017
DOI

HyperLabelMe: a Web Platform for Benchmarking Remote Sensing Image Classifiers

Muñoz-Mar'i J., Izquierdo-Verdiguier E., Campos-Taberner M., P'erez-Suay A., G'omez-Chova L., Mateo-Garc'ia G., Ruescas A., Laparra V., Padr'on J., Amor'os J. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Magazine, 5, 79–85, 2017
DOI

Hyperspectral dimensionality reduction for biophysical variable statistical retrieval

Rivera-Caicedo J., Verrelst J., Muñoz-Marí J., Camps-Valls G. and Moreno J.
ISPRS Journal of Photogrammetry and Remote Sensing, 132, 88–101, 2017
DOI

Compensatory water effects link yearly global land CO2 sink changes to temperature

Jung M., Reichstein M., Schwalm C., Huntingford C., Sitch S., Ahlström A., Arneth A., Camps-Valls G., Ciais P., Friedlingstein P., Gans F., Ichii K. and others
Nature, 541, 516–520, 2017
DOI

Relationship Between Vegetation Microwave Optical Depth and Cross-Polarized Backscatter From Multiyear Aquarius Observations

Rötzer K., Montzka C., Entekhabi D., Konings A., McColl K., Piles M. and Vereecken H.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Pp, 1–11, 2017
DOI

Global distribution of groundwater-vegetation spatial covariation

Koirala S., Jung M., Reichstein M., de Graaf I., Camps-Valls G., Ichii K., Papale D., Reduly B., Schwalm C., Tramontana G. and Carvalhais N.
Geophysical Research Letters, 44, n/a–n/a, 2017
DOI

Parsimonious adaptive rejection sampling

Martino L.
Electronics Letters, 53, 1115–1117, 2017
DOI

Exploitation of SAR and optical Sentinel data to detect rice crop and estimate seasonal dynamics of leaf area index

Manuel Campos-Taberner M., García-Haro F., Camps-Valls G., Grau-Muedra G., Nutini F., Busetto L., Katsantonis D., Stavrakoudis D., Minakou C., Gatti L., Barbieri M., Holecz F. and others
Remote Sensing, 9, 248, 2017
DOI

An Optical Classification Tool for Global Lake Waters

Eleveld M., Ruescas A., Hommersom A., Moore T., Peters S. and Brockmann C.
Remote Sensing, 9, 420, 2017
DOI

Topographic Independent Component Analysis reveals random scrambling of orientation in visual space

Martinez-Garcia M., Martinez L. and Malo J.
Plos one, 12, e0178345, 2017
DOI

A Cloud masking algorithm for the XBAER aerosol retrieval using MERIS data

Mei L., Vountas M., Gómez-Chova L., Rozanov V., Jäger M., Lotz W., Burrows J. and Hollmann R.
Remote Sensing of Environment, 197, 141–160, 2017
DOI

Estimation of the L-band effective scattering albedo of tropical forests using SMOS observations

Parrens M., Al Bitar A., Mialon A., Fernández-Moran R., Ferrazzoli P., Kerr Y. and Wigneron J.
IEEE Geoscience and Remote Sensing Letters, 14, 1223–1227, 2017
DOI

Considering combined or separated roughness and vegetation effects in soil moisture retrievals

Parrens M., Wigneron J., Richaume P., Al Bitar A., Mialon A., Fernández-Moran R., Al-Yaari A., O'Neill P. and Kerr Y.
International Journal of Applied Earth Observation and Geoinformation, 55, 73–86, 2017
DOI

Quantifying water stress effect on daily light use efficiency in Mediterranean ecosystems using satellite data

Sanchez-Ruiz S., Moreno A., Piles M., Maselli F., Carrara A., Running S. and Gilabert M.
International Journal of Digital Earth, 10, 623–638, 2017
DOI

Perceptually optimized image rendering

Laparra V., Berardino A., Balle J. and Simoncelli E.
J. Opt. Soc. Am. A, 34, 1511–1525, 2017
DOI

SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra

Verrelst J., Rivera Caicedo J., Muñoz-Marí J., Camps-Valls G. and Moreno J.
Remote Sensing, 9, 927, 2017
DOI

Modelling the passive microwave signature from land surfaces: A review of recent results and application to the L-band SMOS & SMAP soil moisture retrieval algorithms

Wigneron J., Jackson T., O'Neill P., De Lannoy G., de Rosnay P., Walker J., Ferrazzoli P., Mironov V., Bircher S., Grant J., Kurum M., Schwank M. and others
Remote Sensing of Environment, 192, 238–262, 2017
DOI

Vegetation optical depth and scattering albedo retrieval using time series of dual-polarized L-band radiometer observations

Konings A., Piles M., Rötzer K., McColl K., Chan S. and Entekhabi D.
Remote sensing of environment, 172, 178–189, 2016
DOI

Regression Wavelet Analysis for Loss less Coding of Remote-Sensing Data

Amrani N., Serra-Sagrista J., Laparra V. and Marcellin W.
IEEE Transactions on Geoscience and Remote Sensing, 54, 5616–5627, 2016
DOI

Processing of Extremely high resolution LiDAR and optical data: Outcome of the 2015 IEEE GRSS Data Fusion Contest. Part A: 2D contest

Campos-Taberner M., Romero-Soriano A., Gatta C., Camps-Valls G., Lagrange A., Le~Saux B., ONERA~TEAM, Shimoni M., Moser G. and Tuia D.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, 5547-5559, 2016
DOI

A Survey on Gaussian Processes for Earth Observation Data Analysis: A Comprehensive Investigation

Camps-Valls G., Verrelst J., Muñoz-Marí J., Laparra V., Mateo-Jiménez F. and Gómez-Dans J.
IEEE Geoscience and Remote Sensing Magazine, 4, 58-78, 2016
DOI

Kernel spectral angle mapper

Camps-Valls G.
IEE Electronics Letters, 52, 1218–1220, 2016
DOI

Surface moisture and temperature trends anticipate drought conditions linked to wildfire activity in the Iberian Peninsula

Chaparro D., Piles M., Vall-Llossera M. and Camps A.
European Journal of Remote Sensing, 49, 955–971, 2016
DOI

Predicting the Extent of Wildfires Using Remotely Sensed Soil Moisture and Temperature Trends

Chaparro D., Vall-llossera M., Piles M., Camps A., Rüdiger C. and Riera-Tatché R.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, 2818–2829, 2016
DOI

Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization

Tuia D., Marcos D. and Camps-Valls G.
ISPRS Journal of Photogrammetry and Remote Sensing, 120, 1–12, 2016
DOI

A Special Issue on Advances in Machine Learning for Remote Sensing and Geosciences [From the Guest Editors]

Camps-Valls G., Bioucas-Dias J. and Crawford M.
IEEE Geoscience and Remote Sensing Magazine, 4, 5–7, 2016
DOI

Synergistic use of MERIS and AATSR as a proxy for estimating Land Surface Temperature from Sentinel-3 data

Sobrino J., Jiménez-Muñoz J., Sòria G., Ruescas A., Danne O., Brockmann C., Ghent D., Remedios J., North P., Merchant C., Berger M., Mathieu P. and others
Remote Sensing of Environment, 179, 149–161, 2016
DOI

Comparing surface-soil moisture from the SMOS mission and the ORCHIDEE land-surface model over the Iberian Peninsula

Polcher J., Piles M., Gelati E., Barella-Ortiz A. and Tello M.
Remote Sensing of Environment, 174, 69–81, 2016
DOI

The Maximum Differentiation competition depends on the Viewing Conditions

Malo J., Kane D. and Bertalméo M.
Journal of Vision, 16, 822–823, 2016
DOI

Spectral band selection for vegetation properties retrieval using Gaussian processes regression

Verrelst J., Rivera J., Gitelson A., Delegido J., Moreno J. and Camps-Valls G.
International Journal of Applied Earth Observation and Geoinformation, 52, 554–567, 2016
DOI

Impact of day/night time land surface temperature in soil moisture disaggregation algorithms

Pablos M., Piles M., Sánchez N., Vall-llossera M., Martínez-Fernández J. and Camps A.
European Journal of Remote Sensing, 49, 899–916, 2016
DOI

Towards improved spatio-temporal resolution soil moisture retrievals from the synergy of SMOS and MSG SEVIRI spaceborne observations

Piles M., Petropoulos G., Sánchez N., González-Zamora A. and Ireland G.
Remote Sensing of Environment, 180, 403–417, 2016
DOI

Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring

Campos-Taberner M., García-Haro F., Camps-Valls G., Grau-Muedra G., Nutini F., Crema A. and Boschetti M.
Remote Sensing of Environment, 187, 102–118, 2016
DOI

Multi-Temporal Evaluation of Soil Moisture and Land Surface Temperature Dynamics Using in Situ and Satellite Observations

Pablos M., Martínez-Fernández J., Piles M., Sánchez N., Vall-llossera M. and Camps A.
Remote Sensing, 8, 587, 2016
DOI

Global-scale surface roughness effects at L-band as estimated from SMOS observations

Parrens M., Wigneron J., Richaume P., Mialon A., Al Bitar A., Fernández-Moran R., Al-Yaari A. and Kerr Y.
Remote Sensing of Environment, 181, 122–136, 2016
DOI

Unsupervised Deep Feature Extraction for Remote Sensing Image Classification

Romero A., Gatta C. and Camps-Valls G.
Geoscience and Remote Sensing, IEEE Transactions on, 54, 1349–1362, 2016
DOI

The Land Surface Temperature Synergistic Processor in BEAM: A Prototype towards Sentinel-3

Ruescas A., Danne O., Fomferra N. and Brockmann C.
Data, 1, 18, 2016
arXiv DOI

A New Soil Moisture Agricultural Drought Index (SMADI) Integrating MODIS and SMOS Products: A Case of Study over the Iberian Peninsula

Sánchez N., González-Zamora Á., Piles M. and Martínez-Fernández J.
Remote Sensing, 8, 2016
DOI

Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms

Tramontana G., Jung M., Camps-Valls G., Ichii K., Raduly B., Reichstein M., Schwalm C., Arain M., Cescatti A., Kiely G., Merbold L., Serrano-Ortiz P. and others
Biogeosciences, 13, 4291–4313, 2016
DOI

Kernel manifold alignment for domain adaptation

Tuia D. and Camps-Valls G.
PloS one, 11, e0148655, 2016
DOI

Enhancing SMOS brightness temperatures over the ocean using the nodal sampling image reconstruction technique

González-Gambau V., Olmedo E., Turiel A., Martínez J., Ballabrera-Poy J., Portabella M. and Piles M.
Remote Sensing of Environment, 180, 205–220, 2016
DOI

Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval

Verrelst J., Dethier S., Rivera J., Munoz-Mari J., Camps-Valls G. and Moreno J.
IEEE Geoscience and Remote Sensing Letters, 13, 1012–1016, 2016
DOI

Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis

Verrelst J., Sabater N., Rivera J., Muñoz-Marí J., Vicent J., Camps-Valls G. and Moreno J.
Remote Sensing, 8, 673, 2016
DOI

From experimental campaigns to BEC-CP34 salinity products: Tribute to the Contributions of prof. Font to the SMOS Mission

Camps Carmona A., Gabarró Prats C., Vall-Llossera Ferran M., Blanch Boris S., Aguasca Solé A., Torres Torres F., Corbella Sanahuja I., Duffo Ubeda N., Turiel A., Portabella M. and others
Scientia marina, 80, 159–172, 2016
DOI

2000 days of SMOS at the Barcelona Expert Centre: a tribute to the work of Jordi Font

Turiel Martínez A., Piles Guillem M., González Gambau V., Ballabrera Poy J., Gabarró Prats C., Martinez J., Olmedo E., Portabella M., Pérez López F. and Solé Ollé J.
Scientia marina, 80, 173–193, 2016
DOI

Long-term SMOS soil moisture products: A comprehensive evaluation across scales and methods in the Duero Basin (Spain)

González-Zamora Á., Sánchez N., Martínez-Fernández J., Gumuzzio Á., Piles M. and Olmedo E.
Physics and Chemistry of the Earth, Parts A/B/C, 83-84, 123–136, 2015
DOI

How Many Parameters Can Be Maximally Estimated From a Set of Measurements?

Konings A., McColl K., Piles M. and Entekhabi D.
IEEE Geoscience and Remote Sensing Letters, 12, 1081–1085, 2015
DOI

Mapping Leaf Area Index With a Smartphone and Gaussian Processes

Campos-Taberner M., García-Haro F., Moreno Á., Gilabert M., Sánchez-Ruiz S., Martínez B. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 12, 2501–2505, 2015
DOI

Spectral clustering with the probabilistic cluster kernel

Izquierdo-Verdiguier E., Jenssen R., Gómez-Chova L. and Camps-Valls G.
Neurocomputing, 149, Part C, 1299–1304, 2015
DOI

Roughness and vegetation parameterizations at L-band for soil moisture retrievals over a vineyard field

Fernández-Moran R., Wigneron J., López-Baeza E., Al-Yaari A., Coll-Pajaron A., Mialon A., Miernecki M., Parrens M., Salgado-Hernanz P., Schwank M., Wang S. and Kerr Y.
Remote Sensing of Environment, 170, 269–279, 2015
DOI

Towards a long-term dataset of ELBARA-II measurements assisting SMOS level-3 land product and algorithm validation at the Valencia Anchor Station

Fernández-Moran R., Wigneron J., López-Baeza E., Miernecki M., Salgado-Hernanz P., Coll M., Kerr Y. and Schwank M.
Revista de Teledeteccion, 2015, 55–62, 2015
DOI

Multimodal Classification of Remote Sensing Images: A Review and Future Directions

Gómez-Chova L., Tuia D., Moser G. and Camps-Valls G.
Proceedings of the IEEE, 103, 1560–1584, 2015
DOI

Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review

Verrelst J., Camps-Valls G., Muñoz-Marí J., Rivera J., Veroustraete F., Clevers J. and Moreno J.
ISPRS Journal of Photogrammetry and Remote Sensing, 108, 273–290, 2015
DOI

Dimensionality reduction via regression in hyperspectral imagery

Laparra V., Malo J. and Camps-Valls G.
IEEE Journal on Selected Topics in Signal Processing, 9, 1026–1036, 2015
DOI

Visual aftereffects and sensory nonlinearities from a single statistical framework

Laparra V. and Malo J.
Frontiers in Human Neuroscience, 9, 2015
DOI

Sensitivity of Aquarius Active and Passive Measurements Temporal Covariability to Land Surface Characteristics

Piles M., McColl K., Entekhabi D., Das N. and Pablos M.
IEEE Transactions on Geoscience and Remote Sensing, 53, 4700–4711, 2015
DOI

Ice thickness effects on Aquarius brightness temperatures over Antarctica

Pablos M., Piles M., González-Gambau V., Camps A. and Vall-llossera M.
Journal of Geophysical Research: Oceans, 120, 2856–2868, 2015
DOI

An emulator toolbox to approximate radiative transfer models with statistical learning

Rivera J., Verrelst J., Gómez-Dans J., Muñoz-Marí J., Moreno J. and Camps-Valls G.
Remote Sensing, 7, 9347–9370, 2015
DOI

On the Synergy of Airborne GNSS-R and Landsat 8 for Soil Moisture Estimation

Sánchez N., Alonso-Arroyo A., Martínez-Fernández J., Piles M., González-Zamora Á., Camps A. and Vall-llosera M.
Remote Sensing, 7, 9954–9974, 2015
DOI

Uncertainty analysis of gross primary production upscaling using Random Forests, remote sensing and eddy covariance data

Tramontana G., Ichii K., Camps-Valls G., Tomelleri E. and Papale D.
Remote Sensing of Environment, 168, 360–373, 2015
DOI

Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods-A comparison

Verrelst J., Rivera J., Veroustraete F., Muñoz-Marí J., Clevers J., Camps-Valls G. and Moreno J.
ISPRS Journal of Photogrammetry and Remote Sensing, 108, 260–272, 2015
DOI

Spectral alignment of multi-temporal cross-sensor images with automated kernel canonical correlation analysis

Volpi M., Camps-Valls G. and Tuia D.
ISPRS Journal of Photogrammetry and Remote Sensing, 107, 50–63, 2015
DOI

Global-scale evaluation of roughness effects on C-Band AMSR-E observations

Wang S., Wigneron J., Jiang L., Parrens M., Yu X., Al-Yaari A., Ye Q., Fernández-Moran R., Ji W. and Kerr Y.
Remote Sensing, 7, 5734–5757, 2015
DOI

Toward a semiautomatic machine learning retrieval of biophysical parameters

Caicedo J., Verrelst J., Muñoz-Marí J., Moreno J. and Camps-Valls G.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 1249–1259, 2014
DOI

Advances in hyperspectral image classification: Earth monitoring with statistical learning methods

Camps-Valls G., Tuia D., Bruzzone L. and Benediktsson J.
IEEE Signal Processing Magazine, 31, 45–54, 2014
DOI

Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence

Guanter L., Zhang Y., Jung M., Joiner J., Voigt M., Berry J., Frankenberg C., Huete A., Zarco-Tejada P., Lee J., Moran M., Ponce-Campos G. and others
Proceedings of the National Academy of Sciences of the United States of America, 111, E1327-e1333, 2014
DOI

Reply to Magnani et al.: Linking large-scale chlorophyll fluorescence observations with cropland gross primary production

Guanter L., Zhang Y., Jung M., Joiner J., Voigt M., Berry J., Frankenberg C., Huete A., Zarco-Tejada P., Lee J., Moran M., Ponce-Campos G. and others
Proceedings of the National Academy of Sciences, 111, E2511–e2511, 2014
DOI

Spatio-Chromatic Adaptation via Higher-Order Canonical Correlation Analysis of Natural Images

Gutmann M., Laparra V., Hyvärinen A. and Malo J.
PLoS ONE, 9, e86481, 2014
DOI

Semisupervised kernel feature extraction for remote sensing image analysis

Izquierdo-Verdiguier E., Gómez-Chova L., Bruzzone L. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 52, 5567–5578, 2014
DOI

The role of spatial information in disentangling the irradiance-reflectance-transmittance ambiguity

Jiménez S. and Malo J.
IEEE Transactions on Geoscience and Remote Sensing, 52, 4881–4894, 2014
DOI

Retrieval of biophysical parameters with heteroscedastic Gaussian processes

Lázaro-Gredilla M., Titsias M., Verrelst J. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 11, 838–842, 2014
DOI

Principal polynomial analysis

Laparra V., Jiménez S., Tuia D., Camps-Valls G. and Malo J.
International Journal of Neural Systems, 24, 1440007, 2014
DOI

Comparison of SMOS and SMAP soil moisture retrieval approaches using tower-based radiometer data over a vineyard field

Miernecki M., Wigneron J., López-Baeza E., Kerr Y., De Jeu R., De Lannoy G., Jackson T., O'Neill P., Schwank M., Moran R., Bircher S., Lawrence H. and others
Remote Sensing of Environment, 154, 89–101, 2014
DOI

A unified SVM framework for signal estimation

Rojo-álvarez J., Martínez-Ramón M., Muñoz-Marí J. and Camps-Valls G.
Digital Signal Processing: A Review Journal, 26, 1–20, 2014
DOI

Bayesian active remote sensing image classification

Ruiz P., Mateos J., Camps-Valls G., Molina R. and Katsaggelos A.
IEEE Transactions on Geoscience and Remote Sensing, 52, 2186–2196, 2014
DOI

Prediction of daily global solar irradiation using temporal Gaussian processes

Salcedo-Sanz S., Casanova-Mateo C., Muñoz-Marí J. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 11, 1936–1940, 2014
DOI

Support vector machines in engineering: an overview

Salcedo-Sanz S., Rojo-álvarez J., Martínez-Ramón M. and Camps-Valls G.
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 4, 234–267, 2014
DOI

Explicit recursive and adaptive filtering in reproducing kernel hilbert spaces

Tuia D., Muñoz-Marí J., Rojo-álvarez J., Martínez-Ramon M. and Camps-Valls G.
IEEE Transactions on Neural Networks and Learning Systems, 25, 1413–1419, 2014
DOI

Semisupervised manifold alignment of multimodal remote sensing images

Tuia D., Volpi M., Trolliet M. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 52, 7708–7720, 2014
DOI

Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring

Amorós-López J., Gómez-Chova L., Alonso L., Guanter L., Zurita-Milla R., Moreno J. and Camps-Valls G.
International Journal of Applied Earth Observation and Geoinformation, 23, 132–141, 2013
DOI

Kernel multivariate analysis framework for supervised subspace learning: A tutorial on linear and kernel multivariate methods

Arenas-García J., Petersen K., Camps-Valls G. and Hansen L.
IEEE Signal Processing Magazine, 30, 16–29, 2013
DOI

Hyperspectral Remote Sensing Data Analysis and Future Challenges

Bioucas-Dias J., Plaza A., Camps-Valls G., Scheunders P., Nasrabadi N. and Chanussot J.
Geoscience and Remote Sensing Magazine, IEEE, 1, 6–36, 2013
DOI

Encoding invariances in remote sensing image classification with SVM

Izquierdo-Verdiguier E., Laparra V., Gómez-Chova L. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 10, 981–985, 2013
DOI

Multitask remote sensing data classification

Leiva-Murillo J., Gómez-Chova L. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 51, 151–161, 2013
DOI

Interactive Pansharpening and Active Classification in Remote Sensing

Ruiz P., Mateos J., Camps-Valls G., Molina R. and Katsaggelos A.
Intelligent Systems Reference Library, 48, 67–81, 2013
DOI

Graph matching for adaptation in remote sensing

Tuia D., Muñoz-Marí J., Gómez-Chova L. and Malo J.
IEEE Transactions on Geoscience and Remote Sensing, 51, 329–341, 2013
DOI

Gaussian process retrieval of chlorophyll content from imaging spectroscopy data

Verrelst J., Alonso L., Rivera Caicedo J., Moreno J. and Camps-Valls G.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6, 867–874, 2013
DOI

Gaussian processes uncertainty estimates in experimental Sentinel-2 LAI and leaf chlorophyll content retrieval

Verrelst J., Rivera J., Moreno J. and Camps-Valls G.
ISPRS Journal of Photogrammetry and Remote Sensing, 86, 157–167, 2013
DOI

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., Domenech E., Garrido J., González-Matesanz J., Gómez-Chova L., Martínez J., Molina S., Peces J. and others
International Journal of Remote Sensing, 34, 3699–3715, 2013
DOI

Feature selection using support vector machines and bootstrap methods for ventricular fibrillation detection

Alonso-Atienza F., Rojo-álvarez J., Rosado-Muñoz A., Vinagre J., García-Alberola A. and Camps-Valls G.
Expert Syst. Appl., 39, 1956–1967, 2012
DOI

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

Camps-Valls G., Muñoz-Marí J., Gómez-Chova L., Guanter L. and Calbet X.
IEEE Transactions on Geoscience and Remote Sensing, 50, 1759–1769, 2012
DOI

Remote sensing image processing

Camps-Valls G., Tuia D., Gómez-Chova L., Jiménez S. and Malo J.
Synthesis Lectures on Image, Video, and Multimedia Processing, 12, 1–194, 2012
DOI

A support vector machine music algorithm

El Gonnouni A., Martínez-Ramon M., Rojo-álvarez J., Camps-Valls G., Figueiras-Vidal A. and Christodoulou C.
IEEE Transactions on Antennas and Propagation, 60, 4901–4910, 2012
DOI

Large margin filtering

Flamary R., Tuia D., Labbé B., Camps-Valls G. and Rakotomamonjy A.
IEEE Transactions on Signal Processing, 60, 648–659, 2012
DOI

Kernel entropy component analysis for remote sensing image clustering

Gómez-Chova L., Jenssen R. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 9, 312–316, 2012
DOI

A Color Contrast Definition for Perceptually-based Color Image Coding

Gutiérrez J., Camps-Valls G., Luque M. and Malo J.
Recent Patents on Signal Processing, 2, 33–55, 2012
URL

Nonlinearities and adaptation of color vision from sequential principal curves analysis

Laparra V., Jiménez S., Camps-Valls G. and Malo J.
Neural Computation, 24, 2751–2788, 2012
DOI

Semisupervised classification of remote sensing images with active queries

Muñoz-Marí J., Tuia D. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 50, 3751–3763, 2012
DOI

Remote sensing image segmentation by active queries

Tuia D., Muñoz-Marí J. and Camps-Valls G.
Pattern Recognition, 45, 2180–2192, 2012
DOI

Retrieval of vegetation biophysical parameters using Gaussian process techniques

Verrelst J., Alonso L., Camps-Valls G., Delegido J. and Moreno J.
IEEE Transactions on Geoscience and Remote Sensing, 50, 1832–1843, 2012
DOI

Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3

Verrelst J., Muñoz J., Alonso L., Delegido J., Rivera J., Camps-Valls G. and Moreno J.
Remote Sensing of Environment, 118, 127–139, 2012
DOI

Unsupervised change detection with kernels

Volpi M., Tuia D., Camps-Valls G. and Kanevski M.
IEEE Geoscience and Remote Sensing Letters, 9, 1026–1030, 2012
DOI

Land cover classification of VHR airborne images for citrus grove identification

Amorós López J., Izquierdo Verdiguier E., Gómez Chova L., Muñoz Marí J., Rodríguez Barreiro J., Camps Valls G. and Calpe Maravilla J.
ISPRS Journal of Photogrammetry and Remote Sensing, 66, 115–123, 2011
DOI

Regularized multiresolution spatial unmixing for ENVISAT/MERIS and Landsat/TM image fusion

Amorós-López J., Gómez-Chova L., Alonso L., Guanter L., Moreno J. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 8, 844–848, 2011
DOI

Introduction to the Issue on Advances in Remote Sensing Image Processing

Camps-Valls G., Benediktsson J., Bruzzone L. and Chanussot J.
IEEE Journal of Selected Topics in Signal Processing, 5, 365–369, 2011
DOI

Gridding artifacts on medium-resolution satellite image time series: MERIS case study

Gómez-Chova L., Zurita-Milla R., Alonso L., Amorós-López J., Guanter L. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 49, 2601–2611, 2011
DOI

On the impact of lossy compression on hyperspectral image classification and unmixing

García-Vílchez F., Muñoz-Marí J., Zortea M., Blanes I., González-Ruiz V., Camps-Valls G., Plaza A. and Serra-Sagristà J.
IEEE Geoscience and Remote Sensing Letters, 8, 253–257, 2011
DOI

Iterative gaussianization: From ICA to random rotations

Laparra V., Camps-Valls G. and Malo J.
IEEE Transactions on Neural Networks, 22, 537–549, 2011
DOI

Complex-valued independent component analysis of natural images

Laparra V., Gutmann M., Malo J. and Hyvärinen A.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6792 Lncs, 213–220, 2011
DOI

Urban image classification with semisupervised multiscale cluster kernels

Tuia D. and Camps-Valls G.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4, 65–74, 2011
DOI

Structured output SVM for remote sensing image classification

Tuia D., Muñoz-Marí J., Kanevski M. and Camps-Valls G.
Journal of Signal Processing Systems, 65, 301–310, 2011
DOI

Multioutput support vector regression for remote sensing biophysical parameter estimation

Tuia D., Verrelst J., Alonso L., Pérez-Cruz F. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 8, 804–808, 2011
DOI

Multitemporal unmixing of medium-spatial-resolution satellite images: A case study using MERIS images for land-cover mapping

Zurita-Milla R., Gómez-Chova L., Guanter L., Clevers J. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 49, 4308–4317, 2011
DOI

A support vector domain method for change detection in multitemporal images

Bovolo F., Camps-Valls G. and Bruzzone L.
Pattern Recognition Letters, 31, 1148–1154, 2010
DOI

Remote sensing feature selection by kernel dependence measures

Camps-Valls G., Mooij J. and Schölkopf B.
IEEE Geoscience and Remote Sensing Letters, 7, 587–591, 2010
DOI

Spatio-spectral remote sensing image classification with graph kernels

Camps-Valls G., Shervashidze N. and Borgwardt K.
IEEE Geoscience and Remote Sensing Letters, 7, 741–745, 2010
DOI

Mean map kernel methods for semisupervised cloud classification

Gómez-Chova L., Camps-Valls G., Bruzzone L. and Calpe-Maravilla J.
IEEE Transactions on Geoscience and Remote Sensing, 48, 207–220, 2010
DOI

Image denoising with kernels based on natural image relations

Laparra V., Gutiérrez J., Camps-Valls G. and Malo J.
Journal of Machine Learning Research, 11, 873–903, 2010
DOI

Divisive normalization image quality metric revisited

Laparra V., Muñoz-Marí J. and Malo J.
Journal of the Optical Society of America A: Optics and Image Science, and Vision, 27, 852–864, 2010
URL DOI

Visual cortex performs a sort of non-linear ICA

Malo J. and Laparra V.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5933 Lnai, 17–25, 2010
DOI

Psychophysically tuned divisive normalization approximately factorizes the PDF of natural images

Malo J. and Laparra V.
Neural Computation, 22, 3179–3206, 2010
DOI

Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data

Muñoz-Marí J., Bovolo F., Gómez-Chova L., Bruzzone L. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 48, 3188–3197, 2010
DOI

Semisupervised neural networks for efficient hyperspectral image classification

Ratle F., Camps-Valls G. and Weston J.
IEEE Transactions on Geoscience and Remote Sensing, 48, 2271–2282, 2010
DOI

Learning relevant image features with multiple-kernel classification

Tuia D., Camps-Valls G., Matasci G. and Kanevski M.
IEEE Transactions on Geoscience and Remote Sensing, 48, 3780–3791, 2010
DOI

Multisource composite kernels for urban-image classification

Tuia D., Ratle F., Pozdnoukhov A. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 7, 88–92, 2010
DOI

Classification of hyperspectral images with regularized linear discriminant analysis

Bandos T., Bruzzone L. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 47, 862–873, 2009
DOI

Biophysical parameter estimation with a semisupervised support vector machine

Camps-Valls G., Muñoz-Marí J., Gómez-Chova L., Richter K. and Calpe-Maravilla J.
IEEE Geoscience and Remote Sensing Letters, 6, 248–252, 2009
DOI

Learning non-linear time-scales with kernel gamma-filters

Camps-Valls G., Muñoz-Marí J., Martínez-Ramón M., Requena-Carrión J. and Rojo-álvarez J.
Neurocomputing, 72, 1324–1328, 2009
DOI

Target detection with semisupervised kernel orthogonal subspace projection

Capobianco L., Garzelli A. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 47, 3822–3833, 2009
DOI

A composite semisupervised SVM for classification of hyperspectral images

Marconcini M., Camps-Valls G. and Bruzzone L.
IEEE Geoscience and Remote Sensing Letters, 6, 234–238, 2009
DOI

Parallel implementations of SVM for earth observation

Muñoz-Marí J., Plaza A., Gualtieri J. and Camps-Valls G.
Advances in Parallel Computing, 17, 292–312, 2009
DOI

Recent advances in techniques for hyperspectral image processing

Plaza A., Benediktsson J., Boardman J., Brazile J., Bruzzone L., Camps-Valls G., Chanussot J., Fauvel M., Gamba P., Gualtieri A., Marconcini M., Tilton J. and others
Remote Sensing of Environment, 113, S110-s122, 2009
DOI

Semisupervised remote sensing image classification with cluster kernels

Tuia D. and Camps-Valls G.
IEEE Geoscience and Remote Sensing Letters, 6, 224–228, 2009
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
DOI

Kernel-based framework for multitemporal and multisource remote sensing data classification and change detection

Camps-Valls G., Gómez-Chova L., Muñoz-Marí J., Rojo-álvarez J. and Martínez-Ramón M.
IEEE Transactions on Geoscience and Remote Sensing, 46, 1822–1835, 2008
DOI

On the suitable domain for SVM training in image coding

Camps-Valls G., Gutiérrez J., Gómez-Pérez G. and Malo J.
Journal of Machine Learning Research, 9, 49–66, 2008
URL DOI

Classification of satellite images with regularized AdaBoosting of RBF neural networks

Camps-Valls G. and Rodrigo-González A.
Studies in Computational Intelligence, 83, 307–326, 2008
DOI

New machine-learning paradigm provides advantages for remote sensing

Camps-Valls G.
SPIE Newsroom, 2008
URL DOI

Semisupervised image classification with Laplacian support vector machines

Gómez-Chova L., Camps-Valls G., Muñoz-Mari J. and Calpe J.
IEEE Geoscience and Remote Sensing Letters, 5, 336–340, 2008
DOI

Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins

Gómez-Sanchis J., Gómez-Chova L., Aleixos N., Camps-Valls G., Montesinos-Herrero C., Moltó E. and Blasco J.
Journal of Food Engineering, 89, 80–86, 2008
DOI

Automatic correction of the effects of the light source on spherical objects. An application to the analysis of hyperspectral images of citrus fruits

Gómez-Sanchis J., Moltó E., Camps-Valls G., Gómez-Chova L., Aleixos N. and Blasco J.
Journal of Food Engineering, 85, 191–200, 2008
DOI

Correction of systematic spatial noise in push-broom hyperspectral sensors: application to CHRIS/PROBA images

Gómez-Chova L., Alonso L., Guanter L., Camps-Valls G., Calpe J. and Moreno J.
Applied Optics, 47, F46-f60, 2008
DOI

Sparse deconvolution using support vector machines

Rojo-álvarez J., Martínez-Ramón M., Muñoz-Marí J., Camps-Valls G., Cruz C. and Figueiras-Vidal A.
Eurasip Journal on Advances in Signal Processing, 2008, 2008
DOI

Statistical criteria for early-stopping of support vector machines

Bandos T., Camps-Valls G. and Soria-Olivas E.
Neurocomputing, 70, 2588–2592, 2007
DOI

Semi-supervised graph-based hyperspectral image classification

Camps-Valls G., Bandos Marsheva T. and Zhou D.
IEEE Transactions on Geoscience and Remote Sensing, 45, 3044–3054, 2007
DOI

Nonlinear system identification with composite relevance vector machines

Camps-Valls G., Martínez-Ramón M., Rojo-álvarez J. and Muñoz-Marí J.
IEEE Signal Processing Letters, 14, 279–282, 2007
DOI

Therapeutic drug monitoring of kidney transplant recipients using profiled support vector machines

Camps-Valls G., Soria-Olivas E., Pérez-Ruixo J., Pérez-Cruz F., Artés-Rodríguez A. and Jiménez-Torres N.
IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 37, 359–372, 2007
DOI

Hyperspectral detection of citrus damage with Mahalanobis kernel classifier

Gómez J., Blasco J., Moltó E. and Camps-Valls G.
Electronics Letters, 43, 1082–1084, 2007
DOI

Kernel antenna array processing

Martínez-Ramón M., Rojo-álvarez J., Camps-Valls G. and Christodoulou C.
IEEE Transactions on Antennas and Propagation, 55, 642–650, 2007
DOI

A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images

Muñoz-Marí J., Bruzzone L. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 45, 2683–2692, 2007
DOI

Nonuniform interpolation of noisy signals using support vector machines

Rojo-álvarez J., Figuera-Pozuelo C., Martínez-Cruz C., Camps-Valls G., Alonso-Atienza F. and Martínez-Ramón M.
IEEE Transactions on Signal Processing, 55, 4116–4126, 2007
DOI

Robust support vector regression for biophysical variable estimation from remotely sensed images

Camps-Valls G., Bruzzone L., Rojo-álvarez J. and Melgani F.
IEEE Geoscience and Remote Sensing Letters, 3, 339–343, 2006
DOI

Retrieval of oceanic chlorophyll concentration with relevance vector machines

Camps-Valls G., Gómez-Chova L., Muñoz-Marí J., Vila-Francés J., Amorós-López J. and Calpe-Maravilla J.
Remote Sensing of Environment, 105, 23–33, 2006
DOI

Composite kernels for hyperspectral image classification

Camps-Valls G., Gómez-Chova L., Muñoz-Marí J., Vila-Francés J. and Calpe-Maravilla J.
IEEE Geoscience and Remote Sensing Letters, 3, 93–97, 2006
DOI

Enhancing decision-based neural networks through local competition

Camps-Valls G., Gómez-Chova L., Vila-Francés J., Martin-Guerrero J., Serrano-López A. and Soria-Olivas E.
Neurocomputing, 69, 905–908, 2006
DOI

Urban Monitoring using Multitemporal SAR and Multispectral Data

Gómez-Chova L., Fernández-Prieto D., Calpe J., Soria E., Vila-Francés J. and Camps-Valls G.
Pattern Recognition Letters, Special Issue on ``Pattern Recognition in Remote Sensing'', 27, 234–243, 2006
DOI

Regularization operators for natural images based on nonlinear perception models

Gutiérrez J., Ferri F. and Malo J.
IEEE Transactions on Image Processing, 15, 189–200, 2006
DOI

Nonlinear image representation for efficient perceptual coding

Malo J., Epifanio I., Navarro R. and Simoncelli E.
IEEE Transactions on Image Processing, 15, 68–80, 2006
DOI

V1 non-linear properties emerge from local-to-global non-linear ICA

Malo J. and Gutiérrez J.
Network: Computation in Neural Systems, 17, 85–102, 2006
DOI

Support vector machines for nonlinear Kernel ARMA system identification

Martínez-Ramón M., Rojo-álvarez J., Camps-Valls G., Muñoz-Marí J., Navia-Vázquez A., Soria-Olivas E. and Figueiras-Vidal A.
IEEE Transactions on Neural Networks, 17, 1617–1622, 2006
DOI

Non-linear RLS-based algorithm for pattern classification

Soria-Olivas E., Camps-Valls G., Martín-Guerrero J., Calpe-Maravilla J., Vila-Francés J. and Serrano-López A.
Signal Processing, 86, 1104–1108, 2006
DOI

Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function

Soria-Olivas E., Martín-Guerrero J., Serrano-López A., Calpe-Maravilla J., Vila-Francés J. and Camps-Valls G.
Neurocomputing, 69, 909–912, 2006
DOI

Kernel-based methods for hyperspectral image classification

Camps-Valls G. and Bruzzone L.
IEEE Transactions on Geoscience and Remote Sensing, 43, 1351–1362, 2005
DOI

Perceptual adaptive insensitivity for support vector machine image coding

Gómez-Pérez G., Camps-Valls G., Gutiérrez J. and Malo J.
IEEE Transactions on Neural Networks, 16, 1574–1581, 2005
DOI

Unbiased sensitivity analysis and pruning techniques in neural networks for surface ozone modelling

Pastor-Bárcenas O., Soria-Olivas E., Martín-Guerrero J., Camps-Valls G., Carrasco-Rodríguez J. and Del Valle-Tascón S.
Ecological Modelling, 182, 149–158, 2005
DOI

Support vector machines framework for linear signal processing

Rojo-álvarez J., Camps-Valls G., Martínez-Ramón M., Soria-Olivas E., Navia-Vázquez A. and Figueiras-Vidal A.
Signal Processing, 85, 2316–26, 2005
DOI

Profiled support vector machines for antisense oligonucleotide efficay prediction

Camps-Valls G., Chalk A., Serrano-López A., Martín-Guerrero J. and Sonnhammer E.
BMC Bioinformatics, 5, 2004
DOI

Neural networks for C2h cyclosporine concentration modelling

Camps-Valls G., Serrano-López A., Porta-Oltra B., Martín-Guerrero J., Soria-Olivas E. and Jiménez-Torres N.
Pharmacy World and Science, 26, A28, 2004
DOI

Robust support vector method for hyperspectral data classification and knowledge discovery

Camps-Valls G., Gómez-Chova L., Calpe-Maravilla J., Martín-Guerrero J., Soria-Olivas E., Alonso-Chordá L. and Moreno J.
IEEE Transactions on Geoscience and Remote Sensing, 42, 1530–1542, 2004
DOI

Fuzzy sigmoid kernel for support vector classifiers

Camps-Valls G., Martín-Guerrero J., Rojo-álvarez J. and Soria-Olivas E.
Neurocomputing, 62, 501–506, 2004
DOI

Robust gamma-filter using support vector machines

Camps-Valls G., Martínez-Ramón M., Rojo-Álvarez J. and Soria-Olivas E.
Neurocomputing, 62, 493–499, 2004
DOI

Foetal ECG recovery using dynamic neural networks

Camps-Valls G., Martínez-Sober M., Soria-Olivas E., Magdalena-Benedito R., Calpe-Maravilla J. and Guerrero-Martínez J.
Artificial Intelligence in Medicine, 31, 197–209, 2004
DOI

Regularized RBF networks for hyperspectral data classification

Camps-Valls G., Serrano-López A., Gómez-Chova L., Martín-Guerrero J., Calpe-Maravilla J. and Moreno J.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3212, 429–436, 2004
DOI

Corresponding-pair procedure: A new approach to simulation of dichromatic color perception

Capilla P., Díez-Ajenjo M., Luque M. and Malo J.
Journal of the Optical Society of America A: Optics and Image Science, and Vision, 21, 176–186, 2004
URL DOI

Channel equalisation using a soft back-propagation learning algorithm

Martín-Guerrero J., Gómez-Chova L., Camps-Valls G., Serrano A., Vila-Francés J., Calpe-Maravilla J. and Soria-Olivas E.
Journal of Electrical Engineering, 55, 156–160, 2004
URL PDF

Machine learning methods for one-session ahead prediction of accesses to page categories

Martín-Guerrero J., Balaguer-Ballester E., Camps-Valls G., Palomares A., Serrano-López A., Gómez-Sanchís J. and Soria-Olivas E.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3137, 421–424, 2004
DOI

Neural networks as effective techniques in clinical management of patients: some case studies

Martín J., Soria E., Camps G., Serrano A., Sepúlveda J. and Jiménez V.
Transactions of the Institute of Measurement and Control, 26, 169–183, 2004
DOI

Enhancing genetic feature selection through restricted search and Walsh analysis

Salcedo-Sanz S., Camps-Valls G., Pérez-Cruz F., Sepúlveda-Sanchis J. and Bousono-Calzón C.
IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 34, 398–406, 2004
DOI

A novel approach to introducing adaptive filters based on the LMS algorithm and its variants

Soria E., Calpe J., Chambers J., Martínez M., Camps-Valls G. and Martín-Guerrero J.
IEEE Transactions on Education, 47, 127–133, 2004
DOI

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

Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks

Camps-Valls G., Porta-Oltra B., Soria-Olivas E., Martín-Guerrero J., Serrano-López A., Pérez-Ruixo J. and Jiménez-Torres N.
IEEE Transactions on Biomedical Engineering, 50, 442–448, 2003
DOI

Linear transform for simultaneous diagonalization of covariance and perceptual metric matrix in image coding

Epifanio I., Gutiérrez J. and Malo J.
Pattern Recognition, 36, 1799–1811, 2003
DOI

Use of neural networks for dosage individualisation of erythropoietin in patients with secondary anemia to chronic renal failure

Martín Guerrero J., Soria Olivas E., Camps Valls G., Serrano López A., Pérez Ruixo J. and Jiménez Torres N.
Computers in Biology and Medicine, 33, 361–373, 2003
DOI

Dosage individualization of erythropoietin using a profile-dependent support vector regression

Martín-Guerrero J., Camps-Valls G., Soria-Olivas E., Serrano-López A., Pérez-Ruixo J. and Jiménez-Torres N.
IEEE Transactions on Biomedical Engineering, 50, 1136–1142, 2003
DOI

A low-complexity fuzzy activation function for artificial neural networks

Soria-Olivas E., Martín-Guerrero J., Camps-Valls G., Serrano-López A., Calpe-Maravilla J. and L. G.
IEEE Transactions on Neural Networks, 14, 1379–1380, 2003
DOI

Effective 1-day ahead prediction of hourly surface ozone concentrations in eastern Spain using linear models and neural networks

Balaguer Ballester E., Camps i Valls G., Carrasco-Rodríguez J., Soria-Olivas E. and del Valle-Tascón S.
Ecological Modelling, 156, 27–41, 2002
DOI

Cyclosporine concentration prediction using clustering and support vector regression methods

Camps-Valls G., Soria-Olivas E., Pérez-Ruixo J., Pérez-Cruz F., Figueiras-Vidal A. and Artés-Rodríguez A.
Electronics Letters, 38, 568–570, 2002
DOI

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.
Lecture Notes in Computer Science (LNCS), 2415, 757–782, 2002
DOI

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
URL PDF

Neural Networks Ensemble for Cyclosporine Concentration Monitoring

Camps-Valls G., Soria-Olivas E., Martín-Guerrero J., Pérez-Ruixo J. and Jiménez-Torres N.
Lecture Notes in Computer Science (LNCS), 2130, 706–711, 2001
DOI

Perceptual feedback in multigrid motion estimation using an improved DCT quantization

Malo J., Gutiérrez J., Epifanio I., Ferri F. and Artigas J.
IEEE Transactions on Image Processing, 10, 1411–1427, 2001
DOI

What motion information is perceptually relevant?

Malo J., Gutiérrez J. and Epifanio I.
Journal of Vision, 1, 309-309, 2001
DOI

Some examples for solving Clinical Problems using Neural Networks

Serrano A., Soria E., Camps G. and Martín J.
Lecture Notes in Computer Science (LNCS), 2085, 345–355, 2001
DOI

Role of perceptual contrast non-linearities in image transform quantization

Malo J., Ferri F., Albert J., Soret J. and Artigas J.
Image and Vision Computing, 18, 233–246, 2000
DOI

Importance of quantiser design compared to optimal multigrid motion estimation in video coding

Malo J., Ferri F., Gutiérrez J. and Epifanio I.
Electronics Letters, 36, 807–809, 2000
URL DOI

Perceptually weighted optical flow for motion-based segmentation in MPEG-4 paradigm

Malo J., Gutiérrez J., Epifanio I. and Ferri F.
Electronics Letters, 36, 1693–1694, 2000
URL DOI

Non-linear invertible representation for joint statistical and perceptual feature decorrelation

Malo J., Navarro R., Epifanio I., Ferri F. and Artigas J.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1876 Lncs, 658–667, 2000
DOI

Comparison of perceptually uniform quantization with average error minimization in image transform coding

Malo J., Ferri F., Albert J. and Soret J.
Electronics Letters, 35, 1067–1068, 1999
DOI

Image quality metric based on multidimensional contrast perception models

Pons A., Malo J., Artigas J. and Capilla P.
Displays, 20, 93–110, 1999
DOI

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

Detección precoz de disfunción autonómica en diabéticos Tipo I mediante el análisis de la variabilidad de la frecuencia cardiaca

López Lereu M., Guerrero Martínez J., Chorro J., Muñoz J., Berenguer A., Ampudia J., Ascaso J., Camps-Valls G., García Civera R. and López Merino V.
Revista Española de Cardiología, Vol 52, 157, 1999

Splitting criterion for hierarchical motion estimation based on perceptual coding

Malo J., Ferri F., Albert J. and Artigas J.
Electronics Letters, 34, 541–543, 1998
DOI

Colour representation spaces at different physiological levels: a comparative analysis

Capilla P., Malo J., Luque M. and Artigas J.
Journal of Optics, 29, 324, 1998
DOI

Standard criterion for fluctuations of modulation transfer function in the human eye: Application to disposable contact lenses

Lorente A., Pons A., Malo J. and Artigas J.
Ophthalmic and Physiological Optics, 17, 267–272, 1997
URL DOI

Subjective image fidelity metric based on bit allocation of the human visual system in the DCT domain

Malo J., Pons A. and Artigas J.
Image and Vision Computing, 15, 535–548, 1997
DOI

Characterization of the human visual system threshold performance by a weighting function in the Gabor domain

Malo J., Pons A., Felipe A. and Artigas J.
Journal of Modern Optics, 44, 127–148, 1997
DOI

Implementations of a novel algorithm for colour constancy

Martínez-Verdú F., Luque M., Malo J., Felipe A. and Artigas J.
Vision Research, 37, 1829–1843, 1997
DOI

A new chromatic encoding for machine vision invariant to the change of illuminant

Martínez-Verdú F., Arnau V., Malo J., Felipe A. and Artigas J.
Journal of Optics - Nouvelle Revue d'Optique, 27, 171–181, 1996
URL DOI

A statistical explanation of the effect of luminance on photopic visual acuity of speckled images

Buades M., Artigas J., Felipe A. and Malo J.
Journal of Optics, 26, 175–176, 1995
URL DOI

Bit allocation algorithm for codebook design in vector quantisation fully based on human visual system nonlinearities for suprathreshold contrasts

Malo J., Pons A. and Artigas J.
Electronics Letters, 31, 1222–1224, 1995
DOI

On the intrinsic two-dimensionality of the CSF and its measurement

Malo J., Felipe A., Luque M. and Artigas J.
Journal of Optics, 25, 93–103, 1994
DOI

Calibration and Uncertainty Quantification for Deep Learning-based Drought Detection

Zhang M., Fernandez-Torres M., Cohrs K. and Camps-Valls G.
International Journal of Applied Earth Observation and Geoinformation, 140, 104563, 2025
DOI

Automating Forest Disturbance Detection: A Sentinel-1 Approach to Refine Aerial Survey Data

Müller F., Eifler L., Cremer F., Camps-Valls G. and Bastos A.
Submitted

Unsupervised Spatio-Temporal Drought Monitoring with Gaussianization Flows

Fernandez-Torres M.
Submitted

Generative Networks for Earth Surface Gap Filling

Gonzalez-Calabuig M. and Fernandez-Torres M.
1, Submitted

Invertible Neural Networks for Aerosol Optical Depth Retrievals

Pelucchi P., Vicent J. and Camps-Valls G.
Submitted
DOI

Estimating carbon fluxes over North America using a physics-constrained deep learning model

Fan B., Zhang H., Xiao J., Che X., Liu Z., Camps-Valls G. and Chen J.
ISPRS Journal of Photogrammetry and Remote Sensing, 227, 551-569, 2024
DOI

Dynamics of Masked Image Modeling in Hyperspectral Image Classification

Ma C., Li H., Jiang J., Aybar C., Yao J. and Camps-Valls G.
IEEE Transactions on Geoscience and Remote Sensing, 63, 1-15, 2025
DOI

Estimation of Particulate Backscattering Coefficient merging BGC-Argo floats and satellite data

Garcia J., Amoros J. and Ruescas A.
Submitted

Extracting ENSO Teleconnections in Africa with Granger Causal PCA

Camps-Valls G.
In preparation

Explainable Artificial Intelligence for Highly-Dimensional Earth Surface Forecasting

AND O. and Camps-Valls G.
In preparation

Unsupervised Spatio-Temporal Drought Monitoring with Gaussianization Flows

Fernández-Torres M., Piles M. and Camps-Valls G.
In preparation