All Stories

  1. Causal discovery from equation discovery

    Article • March 2026, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • March 2026, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  3. Comparative Approaches for Detecting Critical Transitions in Food Crises

    Article • March 2026, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  4. Dynamic Mode Decomposition with Control for Forced Response Estimation

    Article • March 2026, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  5. Explainable Cloud Feedback Evaluation in Earth System Models

    Article • March 2026, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  6. Granger PCA: Extracting Granger-causal patterns in climate fields

    Article • March 2026, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • March 2026, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  8. Integrating AI for Climate Resilience

    Article • March 2026, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  9. TACO: Operationalizing AI-Ready EO datasets

    Article • March 2026, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • March 2026, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  11. Kernel Taylor Diagram for Earth System Model Evaluation

    Article • March 2026, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • March 2026, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  13. Kernel detrended fluctuation analysis: A nonlinear, multivariate method for detecting long-range persistence

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, March 2026, American Institute of Physics

    Prof. Dr. Gustau Camps-Valls

  14. AI needs a new philosophy of science

    Article • The Innovation, February 2026, Elsevier

    Prof. Dr. Gustau Camps-Valls

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

    Article • Weather and Climate Dynamics, January 2026, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  16. Foundation Models in Remote Sensing: Evolving from unimodality to multimodality

    Article • IEEE Geoscience and Remote Sensing Magazine, January 2026, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  17. Symbolic Regression for Physics-aware Emulation

    Article • IEEE Transactions on Geoscience and Remote Sensing, January 2026, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  18. Unveiling Spectral Attention Redundancy With Explainable AI

    Article • IEEE Geoscience and Remote Sensing Letters, January 2026, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  19. Earth Action in Transition: Highlights From the 2025 ESA–NASA International Workshop on AI Foundation Models for EO [Space-Agencies]

    Article • IEEE Geoscience and Remote Sensing Magazine, December 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • November 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  21. Explainable Earth Surface Forecasting Under Extreme Events

    Article • Earth s Future, September 2025, American Geophysical Union (AGU)

    Prof. Dr. Gustau Camps-Valls

  22. Serendipity’s role in advancing geoscience

    Article • Nature Geoscience, July 2025, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  23. Sub-seasonal forest carbon dynamics lose persistence under extremes

    Article • Environmental Research Letters, July 2025, Institute of Physics Publishing

    Prof. Dr. Gustau Camps-Valls

  24. Understanding European Heatwaves with Variational Autoencoders

    Article • June 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  25. Calibration and uncertainty quantification for deep learning-based drought detection

    Article • International Journal of Applied Earth Observation and Geoinformation, June 2025, Elsevier

    Prof. Dr. Gustau Camps-Valls

  26. Advancing AI for Earth sciences with hybrid and causal models

    Article • March 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  27. Benchmarking Deep Learning Models for Probabilistic Subseasonal Forecasting of Heat Extremes

    Article • March 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  28. Causal Weighting for Climate Projections

    Article • March 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  29. Enhancing Light Efficiency Modeling with Symbolic Regression and KANs

    Article • March 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  30. Global Vegetation Stress Drivers based on Hybrid Modelling and Explainable AI

    Article • March 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  31. Operational and actionable Acute Food Insecurity modelling 

    Article • March 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • March 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • March 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  34. Early warning of complex climate risk with integrated artificial intelligence

    Article • Nature Communications, March 2025, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

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

    Article • March 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  36. Hierarchical Causal Graph-Based Methods for Imputing Food Insecurity

    Article • March 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  37. Artificial intelligence for modeling and understanding extreme weather and climate events

    Article • Nature Communications, February 2025, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  38. Estimating Information Theoretic Measures via Multidimensional Gaussianization

    Article • IEEE Transactions on Pattern Analysis and Machine Intelligence, February 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, February 2025, Elsevier

    Prof. Dr. Gustau Camps-Valls

  40. Large language models for causal hypothesis generation in science

    Article • Machine Learning Science and Technology, January 2025, Institute of Physics Publishing

    Prof. Dr. Gustau Camps-Valls

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

    Article • Scientific Data, January 2025, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  42. Analyzing Climate Scenarios Using Dynamic Mode Decomposition With Control

    Article • January 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  43. Causal evaluation of humanitarian aid on food security

    Article • January 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  44. Evaluating Forest Resilience in Europe with Deep Learning Persistence Analysis

    Article • January 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • January 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  46. Improving forest disturbance labels through Sentinel-1 change detection validation

    Article • January 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  47. Large Language Models for Causal Discovery in the Earth Sciences

    Article • January 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • January 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  49. Spatio-temporal Nonlinear Quantile Regression for Heatwave Prediction and Understanding

    Article • January 2025, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  50. Analyzing climate scenarios using dynamic mode decomposition with control

    Article • Environmental Data Science, January 2025, Cambridge University Press

    Prof. Dr. Gustau Camps-Valls

  51. Dynamics of Masked Image Modeling in Hyperspectral Image Classification

    Article • IEEE Transactions on Geoscience and Remote Sensing, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  53. Hybrid Deep Learning Models for Remote Sensing Image Processing

    Article • Proceedings of the IEEE, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  54. Invertible Neural Networks for Probabilistic Aerosol Optical Depth Retrieval

    Article • IEEE Transactions on Geoscience and Remote Sensing, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  56. Learning extreme vegetation response to climate drivers with recurrent neural networks

    Article • Nonlinear Processes in Geophysics, November 2024, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  57. Towards data-driven discovery of governing equations in geosciences

    Article • Communications Earth & Environment, October 2024, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  58. Collaboration between artificial intelligence and Earth science communities for mutual benefit

    Article • Nature Geoscience, October 2024, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

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

    Article • Nature Geoscience, September 2024, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  60. Digital twins of the Earth with and for humans

    Article • Communications Earth & Environment, August 2024, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  61. Overview of ACM SIGKDD 2024 AI4Science4AI Special Day

    Article • August 2024, ACM (Association for Computing Machinery)

    Prof. Dr. Gustau Camps-Valls

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

    Article • Machine Learning Science and Technology, July 2024, Institute of Physics Publishing

    Prof. Dr. Gustau Camps-Valls

  63. The AIDE Toolbox: Artificial intelligence for disentangling extreme events [Software and Data Sets]

    Article • IEEE Geoscience and Remote Sensing Magazine, June 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  64. Early warning of complex climate risk with integrated artificial intelligence

    Article • April 2024, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  65. Deep Learning With Noisy Labels for Spatiotemporal Drought Detection

    Article • IEEE Transactions on Geoscience and Remote Sensing, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  66. Multioutput Feature Selection for Emulation and Sensitivity Analysis

    Article • IEEE Transactions on Geoscience and Remote Sensing, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • Nature Communications, December 2023, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  68. Discovering causal relations and equations from data

    Article • Physics Reports, December 2023, Elsevier

    Prof. Dr. Gustau Camps-Valls

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

    Article • Neurocomputing, December 2023, Elsevier

    Prof. Dr. Gustau Camps-Valls

  70. Learning Extreme Vegetation Response to Climate Forcing: A Comparison of Recurrent Neural Network Architectures

    Article • October 2023, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  71. Causal inference to study food insecurity in Africa

    Article • May 2023, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  72. Double machine learning for geosciences

    Article • May 2023, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • May 2023, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  74. Estimating non-linear persistence for impact assessment in European forests

    Article • May 2023, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  75. Gaussian Processes for vegetation traits global mapping

    Article • May 2023, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  76. Identifying compound weather prototypes of forest mortality with β-VAE

    Article • May 2023, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  77. Invertible neural networks for satellite retrievals of aerosol optical depth

    Article • May 2023, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  78. Learning causal drivers of PyroCb

    Article • May 2023, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • May 2023, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  80. XAIDA4Detection: A Toolbox for the Detection and Characterization of Spatio-Temporal Extreme Events

    Article • May 2023, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  81. Anticipating the SIF-GPP linearity breakdown with machine learning - Implications on climate extremes and vegetation stress

    Article • February 2023, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  82. Estimation of vegetation traits with kernel NDVI

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, January 2023, Elsevier

    Prof. Dr. Gustau Camps-Valls

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

    Article • IEEE Transactions on Geoscience and Remote Sensing, January 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  84. Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data

    Article • IEEE Geoscience and Remote Sensing Letters, January 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  85. Interpretable Long Short-Term Memory Networks for Crop Yield Estimation

    Article • IEEE Geoscience and Remote Sensing Letters, January 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  86. Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation

    Article • IEEE Transactions on Geoscience and Remote Sensing, January 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  87. Multifidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models

    Article • IEEE Transactions on Geoscience and Remote Sensing, January 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  88. ClimateBench v1.0: A benchmark for data‐driven climate projections

    Article • Journal of Advances in Modeling Earth Systems, September 2022, American Geophysical Union (AGU)

    Prof. Dr. Gustau Camps-Valls

  89. Wildfire Danger Prediction and Understanding With Deep Learning

    Article • Geophysical Research Letters, September 2022, American Geophysical Union (AGU)

    Michele Ronco, Prof. Dr. Gustau Camps-Valls

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

    Article • IEEE Geoscience and Remote Sensing Magazine, June 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  91. Physics-aware nonparametric regression models for Earth data analysis

    Article • Environmental Research Letters, May 2022, Institute of Physics Publishing

    Prof. Dr. Gustau Camps-Valls

  92. Persistence in complex systems

    Article • Physics Reports, April 2022, Elsevier

    Prof. Dr. Gustau Camps-Valls

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

    Article • March 2022, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  94. Explainable deep learning for wildfire danger estimation

    Article • March 2022, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • March 2022, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • March 2022, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • March 2022, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • March 2022, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  99. ClimateBench: A benchmark for data-driven climate projections

    Article • March 2022, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  100. Exploring cirrus cloud microphysical properties using explainable machine learning 

    Article • March 2022, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  101. Machine learning to quantify cloud responses to aerosols from satellite data

    Article • March 2022, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • March 2022, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • Scientific Reports, January 2022, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  104. ClimateBench: A benchmark dataset for data-driven climate projections

    Article • January 2022, Wiley

    Prof. Dr. Gustau Camps-Valls

  105. Autocorrelation Metrics to Estimate Soil Moisture Persistence From Satellite Time Series: Application to Semiarid Regions

    Article • IEEE Transactions on Geoscience and Remote Sensing, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  106. Graph Embedding via High Dimensional Model Representation for Hyperspectral Images

    Article • IEEE Transactions on Geoscience and Remote Sensing, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  107. Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions

    Article • IEEE Transactions on Geoscience and Remote Sensing, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  108. Learning Relevant Features of Optical Water Types

    Article • IEEE Geoscience and Remote Sensing Letters, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  109. Retrieval of Physical Parameters With Deep Structured Kernel Regression

    Article • IEEE Transactions on Geoscience and Remote Sensing, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  110. Systematic Assessment of MODTRAN Emulators for Atmospheric Correction

    Article • IEEE Transactions on Geoscience and Remote Sensing, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  111. The Kernelized Taylor Diagram

    Article • January 2022, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  112. Unsupervised Anomaly and Change Detection With Multivariate Gaussianization

    Article • IEEE Transactions on Geoscience and Remote Sensing, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  113. ClimateBench: A benchmark dataset for data-driven climate projections

    Article • December 2021, Wiley

    Prof. Dr. Gustau Camps-Valls

  114. Crop Yield Estimation and Interpretability With Gaussian Processes

    Article • IEEE Geoscience and Remote Sensing Letters, December 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  115. Gaussianizing the Earth: Multidimensional information measures for Earth data analysis

    Article • IEEE Geoscience and Remote Sensing Magazine, December 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • International Journal of Applied Earth Observation and Geoinformation, December 2021, Elsevier

    Prof. Dr. Gustau Camps-Valls

  117. Compressed Particle Methods for Expensive Models With Application in Astronomy and Remote Sensing

    Article • IEEE Transactions on Aerospace and Electronic Systems, October 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  118. Deep importance sampling based on regression for model inversion and emulation

    Article • Digital Signal Processing, September 2021, Elsevier

    Prof. Dr. Gustau Camps-Valls

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

    Article • Remote Sensing of Environment, August 2021, Elsevier

    Prof. Dr. Gustau Camps-Valls

  120. Inference over radiative transfer models using variational and expectation maximization methods

    Article • Machine Learning, June 2021, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  121. Toward a Collective Agenda on AI for Earth Science Data Analysis

    Article • IEEE Geoscience and Remote Sensing Magazine, June 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  122. Predicting regional coastal sea level changes with machine learning

    Article • Scientific Reports, April 2021, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

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

    Article • Atmospheric Research, April 2021, Elsevier

    Prof. Dr. Gustau Camps-Valls

  124. Perspective on Deep Learning for Earth Sciences

    Article • April 2021, World Scientific Pub Co Pte Lt

    Prof. Dr. Gustau Camps-Valls

  125. Gaussianization for Multivariate, High-dimensional Earth Observation data Analysis

    Article • March 2021, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  126. Generalization of Vegetation Indices for Monitoring the Terrestrial Biosphere

    Article • March 2021, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  127. Spatio-Temporal Gaussianization Flows for Extreme Event Detection

    Article • March 2021, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  128. The CIMR mission and its unique capabilities for soil moisture sensing

    Article • March 2021, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • March 2021, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  130. A unified vegetation index for quantifying the terrestrial biosphere

    Article • Science Advances, February 2021, American Association for the Advancement of Science

    Prof. Dr. Gustau Camps-Valls

  131. Emergent vulnerability to climate-driven disturbances in European forests

    Article • Nature Communications, February 2021, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

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

    Article • PLOS One, February 2021, PLOS

    Prof. Dr. Gustau Camps-Valls

  133. Efficient Nonlinear RX Anomaly Detectors

    Article • IEEE Geoscience and Remote Sensing Letters, February 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  134. Explicit Granger causality in kernel Hilbert spaces

    Article • Physical Review E, December 2020, American Physical Society (APS)

    Prof. Dr. Gustau Camps-Valls

  135. Constraining Uncertainty in Projected Gross Primary Production With Machine Learning

    Article • Journal of Geophysical Research Biogeosciences, November 2020, American Geophysical Union (AGU)

    Prof. Dr. Gustau Camps-Valls

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

    Article • Information Fusion, November 2020, Elsevier

    Prof. Dr. Gustau Camps-Valls

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

    Article • PLOS One, October 2020, PLOS

    Prof. Dr. Gustau Camps-Valls

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

    Article • Scientific Reports, October 2020, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

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

    Article • International Journal of Applied Earth Observation and Geoinformation, October 2020, Elsevier

    Prof. Dr. Gustau Camps-Valls

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

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, September 2020, Elsevier

    Prof. Dr. Gustau Camps-Valls

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

    Article • Remote Sensing of Environment, September 2020, Elsevier

    Prof. Dr. Gustau Camps-Valls

  142. ESTIMATION OF OCEANIC PARTICULATE ORGANIC CARBON WITH MACHINE LEARNING

    Article • ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences, August 2020, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  143. Nonlinear PCA for Spatio-Temporal Analysis of Earth Observation Data

    Article • IEEE Transactions on Geoscience and Remote Sensing, August 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  144. Deep Gaussian processes for biogeophysical parameter retrieval and model inversion

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, August 2020, Elsevier

    Prof. Dr. Gustau Camps-Valls

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

    Article • Global Change Biology, July 2020, Wiley

    Prof. Dr. Gustau Camps-Valls

  146. The Low Dimensionality of Development

    Article • Social Indicators Research, May 2020, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  147. Summarizing the state of the terrestrial biosphere in few dimensions

    Article • Biogeosciences, May 2020, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  148. Adaptive Sequential Interpolator Using Active Learning for Efficient Emulation of Complex Systems

    Article • May 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  149. Particle Group Metropolis Methods for Tracking the Leaf Area Index

    Article • May 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  150. A global canopy water content product from AVHRR/Metop

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, April 2020, Elsevier

    Prof. Dr. Gustau Camps-Valls

  151. Active emulation of computer codes with Gaussian processes – Application to remote sensing

    Article • Pattern Recognition, April 2020, Elsevier

    Prof. Dr. Gustau Camps-Valls

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

    Article • Biogeosciences, March 2020, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  153. Accounting for Input Noise in Gaussian Process Parameter Retrieval

    Article • IEEE Geoscience and Remote Sensing Letters, March 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  154. Earth system data cubes unravel global multivariate dynamics

    Article • Earth System Dynamics, February 2020, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • Environmental Research Letters, February 2020, Institute of Physics Publishing

    Dr Liangzhi You, Prof. Dr. Gustau Camps-Valls

  156. Revisiting impacts of MJO on soil moisture: a causality perspective

    Article • January 2020, Wiley

    Prof. Dr. Gustau Camps-Valls

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

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, January 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  158. Machine Learning Methods for Spatial and Temporal Parameter Estimation

    Article • January 2020, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  159. Nonlinear Distribution Regression for Remote Sensing Applications

    Article • IEEE Transactions on Geoscience and Remote Sensing, December 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  160. Fusing optical and SAR time series for LAI gap filling with multioutput Gaussian processes

    Article • Remote Sensing of Environment, December 2019, Elsevier

    Prof. Dr. Gustau Camps-Valls

  161. Statistical retrieval of atmospheric profiles with deep convolutional neural networks

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, December 2019, Elsevier

    Prof. Dr. Gustau Camps-Valls

  162. Synergistic integration of optical and microwave satellite data for crop yield estimation

    Article • Remote Sensing of Environment, December 2019, Elsevier

    Prof. Dr. Gustau Camps-Valls

  163. Earth system data cubes unravel global multivariate dynamics

    Article • October 2019, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

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

    Article • October 2019, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  165. Supplementary material to "Scaling carbon fluxes from eddy covariance sites to globe: Synthesis and evaluation of the FLUXCOM approach"

    Article • October 2019, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  166. Kernel Anomalous Change Detection for Remote Sensing Imagery

    Article • IEEE Transactions on Geoscience and Remote Sensing, October 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  167. Summarizing the state of the terrestrial biosphere in few dimensions

    Article • August 2019, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  168. Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data

    Article • IEEE Transactions on Geoscience and Remote Sensing, August 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • Remote Sensing of Environment, August 2019, Elsevier

    Prof. Dr. Gustau Camps-Valls

  170. Foreword to the Special Issue on IGARSS 2018

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, July 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  171. Inferring causation from time series in Earth system sciences

    Article • Nature Communications, June 2019, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  172. Activities of the IEEE GRSS Spain Chapter [Chapters]

    Article • IEEE Geoscience and Remote Sensing Magazine, June 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  173. The FLUXCOM ensemble of global land-atmosphere energy fluxes

    Article • Scientific Data, May 2019, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

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

    Article • Remote Sensing of Environment, May 2019, Elsevier

    Dr Yongguang Zhang, Prof. Dr. Gustau Camps-Valls

  175. A perspective on Gaussian processes for Earth observation

    Article • National Science Review, March 2019, Oxford University Press (OUP)

    Prof. Dr. Gustau Camps-Valls

  176. Causal Inference in Geoscience and Remote Sensing From Observational Data

    Article • IEEE Transactions on Geoscience and Remote Sensing, March 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  177. Satellite Observations of the Contrasting Response of Trees and Grasses to Variations in Water Availability

    Article • Geophysical Research Letters, February 2019, American Geophysical Union (AGU)

    Prof. Dr. Gustau Camps-Valls

  178. Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models

    Article • IEEE Transactions on Geoscience and Remote Sensing, February 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • Nature, February 2019, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  180. Statistical biophysical parameter retrieval and emulation with Gaussian processes

    Article • January 2019, Elsevier

    Prof. Dr. Gustau Camps-Valls

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

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, December 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • Remote Sensing of Environment, December 2018, Elsevier

    Prof. Dr. Gustau Camps-Valls

  183. Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference

    Article • IEEE Geoscience and Remote Sensing Letters, November 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  184. Group Importance Sampling for particle filtering and MCMC

    Article • Digital Signal Processing, November 2018, Elsevier

    Prof. Dr. Gustau Camps-Valls

  185. Pattern Recognition Scheme for Large-Scale Cloud Detection Over Landmarks

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, November 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  186. Sensitivity maps of the Hilbert–Schmidt independence criterion

    Article • Applied Soft Computing, September 2018, Elsevier

    Prof. Dr. Gustau Camps-Valls

  187. Signal-to-noise ratio in reproducing kernel Hilbert spaces

    Article • Pattern Recognition Letters, September 2018, Elsevier

    Prof. Dr. Gustau Camps-Valls

  188. Global Estimation of Biophysical Variables from Google Earth Engine Platform

    Article • Remote Sensing, July 2018, MDPI AG

    Prof. Dr. Gustau Camps-Valls

  189. Multitemporal Cloud Masking in the Google Earth Engine

    Article • Remote Sensing, July 2018, MDPI AG

    Prof. Dr. Gustau Camps-Valls

  190. A Deep Network Approach to Multitemporal Cloud Detection

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  191. Consistent Regression of Biophysical Parameters with Kernel Methods

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  192. Deep Gaussian Processes for Geophysical Parameter Retrieval

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  193. Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  195. Generation of Global Vegetation Products from Eumetsat AVHRR/METOP Satellites

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  197. Interpolation and Gap Filling of Landsat Reflectance Time Series

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  198. Multioutput Automatic Emulator for Radiative Transfer Models

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  200. Nonlinear Cook Distance for Anomalous Change Detection

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  201. Physics-aware Gaussian processes in remote sensing

    Article • Applied Soft Computing, July 2018, Elsevier

    Prof. Dr. Gustau Camps-Valls

  202. Randomized RX for Target Detection

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  203. Retrieval of Case 2 Water Quality Parameters with Machine Learning

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  204. Sparsity-Driven Digital Terrain Model Extraction

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  205. Statistical Learning For End-To-End Simulations

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  206. Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  207. Welcome from the Technical Program Committee

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • Surveys in Geophysics, June 2018, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  209. Distributed Particle Metropolis-Hastings Schemes

    Article • June 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • Remote Sensing, May 2018, MDPI AG

    Prof. Dr. Gustau Camps-Valls

  211. 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

    Article • Remote Sensing, May 2018, MDPI AG

    Prof. Dr. Gustau Camps-Valls

  212. Derivation of global vegetation biophysical parameters from EUMETSAT Polar System

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, May 2018, Elsevier

    Prof. Dr. Gustau Camps-Valls

  213. Joint Gaussian Processes for Biophysical Parameter Retrieval

    Article • IEEE Transactions on Geoscience and Remote Sensing, March 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • International Journal of Applied Earth Observation and Geoinformation, March 2018, Elsevier

    Prof. Dr. Gustau Camps-Valls

  215. The Recycling Gibbs sampler for efficient learning

    Article • Digital Signal Processing, March 2018, Elsevier

    Prof. Dr. Gustau Camps-Valls

  216. Remote Sensing Image Classification With Large-Scale Gaussian Processes

    Article • IEEE Transactions on Geoscience and Remote Sensing, February 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  217. HyperLabelMe : A Web Platform for Benchmarking Remote-Sensing Image Classifiers

    Article • IEEE Geoscience and Remote Sensing Magazine, December 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  218. Randomized kernels for large scale Earth observation applications

    Article • Remote Sensing of Environment, December 2017, Elsevier

    Prof. Dr. Gustau Camps-Valls

  219. Advances in Kernel Machines for Image Classification and Biophysical Parameter Retrieval

    Article • November 2017, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  220. Global Cheesemaking Technology

    Article • October 2017, Wiley

    Prof. Dr. Gustau Camps-Valls

  221. Hyperspectral dimensionality reduction for biophysical variable statistical retrieval

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, October 2017, Elsevier

    Prof. Dr. Gustau Camps-Valls

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

    Article • Remote Sensing, September 2017, MDPI AG

    Prof. Dr. Gustau Camps-Valls

  223. Passive millimeter wave image classification with large scale Gaussian processes

    Article • September 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  224. Group metropolis sampling

    Article • August 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  225. Probabilistic cross-validation estimators for Gaussian process regression

    Article • August 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  226. Recycling Gibbs sampling

    Article • August 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  228. Causal inference in geosciences with kernel sensitivity maps

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  229. Cloud detection machine learning algorithms for PROBA-V

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  230. Convolutional neural networks for multispectral image cloud masking

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  231. Efficient remote sensing image classification with Gaussian processes and Fourier features

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  232. Joint Gaussian processes for inverse modeling

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  233. Nonlinear statistical retrieval of surface emissivity from IASI data

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  234. Predicting year of plantation with hyperspectral and lidar data

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  235. Remote sensing of vegetation dynamics in agro-ecosystems using smap vegetation optical depth and optical vegetation indices

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  236. Retrieval of coloured dissolved organic matter with machine learning methods

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  237. Spatial noise-aware temperature retrieval from infrared sounder data

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • Revista de Teledetección, June 2017, Universitat Politecnica de Valencia

    Prof. Dr. Gustau Camps-Valls

  239. Nonlinear Time-Series Adaptation for Land Cover Classification

    Article • IEEE Geoscience and Remote Sensing Letters, June 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  240. Optimized Kernel Entropy Components

    Article • IEEE Transactions on Neural Networks and Learning Systems, June 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  241. Global distribution of groundwater‐vegetation spatial covariation

    Article • Geophysical Research Letters, May 2017, American Geophysical Union (AGU)

    Prof. Dr. Gustau Camps-Valls

  242. Statistical Atmospheric Parameter Retrieval Largely Benefits From Spatial–Spectral Image Compression

    Article • IEEE Transactions on Geoscience and Remote Sensing, April 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Joan Serra-Sagrista, Prof. Dr. Gustau Camps-Valls

  243. Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, April 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  244. Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index

    Article • Remote Sensing, March 2017, MDPI AG

    Prof. Dr. Gustau Camps-Valls

  245. Cloud masking and removal in remote sensing image time series

    Article • Journal of Applied Remote Sensing, January 2017, SPIE

    Prof. Dr. Gustau Camps-Valls

  246. Automatic Emulation by Adaptive Relevance Vector Machines

    Article • January 2017, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

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

    Article • Nature, January 2017, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  248. Fair Kernel Learning

    Article • January 2017, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  249. Physics-Aware Gaussian Processes for Earth Observation

    Article • January 2017, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

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

    Article • Remote Sensing of Environment, December 2016, Elsevier

    Prof. Dr. Gustau Camps-Valls

  251. Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest–Part A: 2-D Contest

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, December 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, October 2016, Elsevier

    Prof. Dr. Gustau Camps-Valls

  253. Spectral band selection for vegetation properties retrieval using Gaussian processes regression

    Article • International Journal of Applied Earth Observation and Geoinformation, October 2016, Elsevier

    Prof. Dr. Gustau Camps-Valls

  254. Latent force models for earth observation time series prediction

    Article • September 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • Remote Sensing, August 2016, MDPI AG

    Prof. Dr. Gustau Camps-Valls

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

    Article • Biogeosciences, July 2016, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  257. Kernel spectral angle mapper

    Article • Electronics Letters, July 2016, the Institution of Engineering and Technology (the IET)

    Prof. Dr. Gustau Camps-Valls

  258. Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval

    Article • IEEE Geoscience and Remote Sensing Letters, July 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • IEEE Geoscience and Remote Sensing Magazine, June 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • March 2016, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  261. Supplementary material to "Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms"

    Article • March 2016, Copernicus GmbH

    Prof. Dr. Gustau Camps-Valls

  262. Unsupervised Deep Feature Extraction for Remote Sensing Image Classification

    Article • IEEE Transactions on Geoscience and Remote Sensing, March 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  263. Kernel Manifold Alignment for Domain Adaptation

    Article • PLOS One, February 2016, PLOS

    Prof. Dr. Gustau Camps-Valls

  264. Learning Structures in Earth Observation Data with Gaussian Processes

    Article • January 2016, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  265. Mapping Leaf Area Index With a Smartphone and Gaussian Processes

    Article • IEEE Geoscience and Remote Sensing Letters, December 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, October 2015, Elsevier

    Prof. Dr. Gustau Camps-Valls

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

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, October 2015, Elsevier

    Prof. Dr. Gustau Camps-Valls

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

    Article • Remote Sensing of Environment, October 2015, Elsevier

    Prof. Dr. Gustau Camps-Valls

  269. Dimensionality Reduction via Regression in Hyperspectral Imagery

    Article • IEEE Journal of Selected Topics in Signal Processing, September 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • Proceedings of the IEEE, September 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, September 2015, Elsevier

    Prof. Dr. Gustau Camps-Valls

  272. An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning

    Article • Remote Sensing, July 2015, MDPI AG

    Prof. Dr. Gustau Camps-Valls

  273. Large-scale random features for kernel regression

    Article • July 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  274. Ranking drivers of global carbon and energy fluxes over land

    Article • July 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  275. Replacing radiative transfer models by surrogate approximations through machine learning

    Article • July 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  276. Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction

    Article • July 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • July 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  278. Weakly supervised alignment of multisensor images

    Article • July 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  279. Spectral clustering with the probabilistic cluster kernel

    Article • Neurocomputing, February 2015, Elsevier

    Prof. Dr. Gustau Camps-Valls

  280. Semisupervised Manifold Alignment of Multimodal Remote Sensing Images

    Article • IEEE Transactions on Geoscience and Remote Sensing, December 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  281. Prediction of Daily Global Solar Irradiation Using Temporal Gaussian Processes

    Article • IEEE Geoscience and Remote Sensing Letters, November 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  282. Cloud masking of multitemporal remote sensing images

    Article • October 2014, SPIE

    Prof. Dr. Gustau Camps-Valls

  283. PRINCIPAL POLYNOMIAL ANALYSIS

    Article • International Journal of Neural Systems, October 2014, World Scientific Pub Co Pte Lt

    Prof. Dr. Gustau Camps-Valls

  284. Lossless coding of hyperspectral images with principal polynomial analysis

    Article • October 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Joan Serra-Sagrista, Prof. Dr. Gustau Camps-Valls

  285. Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis

    Article • IEEE Transactions on Geoscience and Remote Sensing, September 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  286. Unsupervised Alignment of Image Manifolds with Centrality Measures

    Article • August 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  287. Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces

    Article • IEEE Transactions on Neural Networks and Learning Systems, July 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  288. Spectral adaptation of hyperspectral flight lines using VHR contextual information

    Article • July 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • Proceedings of the National Academy of Sciences, June 2014, Proceedings of the National Academy of Sciences

    Dr Yongguang Zhang, Prof. Dr. Gustau Camps-Valls

  290. A family of kernel anomaly change detectors

    Article • June 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  291. Dimensionality reduction via regression on hyperspectral infrared sounding data

    Article • June 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  292. Prelaunch assessment of worldview-3 information content

    Article • June 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  293. Unsupervised deep feature extraction of hyperspectral images

    Article • June 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  294. Support vector machines in engineering: an overview

    Article • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, April 2014, Wiley

    Prof. Dr. Gustau Camps-Valls

  295. Bayesian Active Remote Sensing Image Classification

    Article • IEEE Transactions on Geoscience and Remote Sensing, April 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  296. Retrieval of Biophysical Parameters With Heteroscedastic Gaussian Processes

    Article • IEEE Geoscience and Remote Sensing Letters, April 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  297. Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, April 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • Proceedings of the National Academy of Sciences, March 2014, Proceedings of the National Academy of Sciences

    Dr Yongguang Zhang, Prof. Dr. Gustau Camps-Valls

  299. A unified SVM framework for signal estimation

    Article • Digital Signal Processing, March 2014, Elsevier

    Prof. Dr. Gustau Camps-Valls

  300. Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods

    Article • IEEE Signal Processing Magazine, January 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, December 2013, Elsevier

    Prof. Dr. Gustau Camps-Valls

  302. Encoding Invariances in Remote Sensing Image Classification With SVM

    Article • IEEE Geoscience and Remote Sensing Letters, September 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • International Journal of Applied Earth Observation and Geoinformation, August 2013, Elsevier

    Prof. Dr. Gustau Camps-Valls

  304. Advances in synergy of AATSR-MERIS sensors for cloud detection

    Article • July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  305. Domain adaptation with Hidden Markov Random Fields

    Article • July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  306. Estimation of vegetation chlorophyll content with Variational Heteroscedastic Gaussian Processes

    Article • July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  307. Kernel Structural SIMIlarity on hyperspectral images

    Article • July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  308. Kernel change discriminant analysis for multitemporal cloud masking

    Article • July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  309. Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods

    Article • IEEE Signal Processing Magazine, July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  310. Multi-sensor change detection based on nonlinear canonical correlations

    Article • July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • June 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  312. Hyperspectral Remote Sensing Data Analysis and Future Challenges

    Article • IEEE Geoscience and Remote Sensing Magazine, June 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  313. Multiset Kernel CCA for multitemporal image classification

    Article • June 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  314. Gaussian Process Retrieval of Chlorophyll Content From Imaging Spectroscopy Data

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, April 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  315. Multitask Remote Sensing Data Classification

    Article • IEEE Transactions on Geoscience and Remote Sensing, January 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  316. Unsupervised Change Detection With Kernels

    Article • IEEE Geoscience and Remote Sensing Letters, November 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  317. Spectro-temporal reflectance surfaces: a new conceptual framework for the integration of remote-sensing data from multiple different sensors

    Article • International Journal of Remote Sensing, October 2012, Taylor & Francis

    Prof. Dr. Gustau Camps-Valls

  318. A Support Vector Machine MUSIC Algorithm

    Article • IEEE Transactions on Antennas and Propagation, October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  319. Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis

    Article • Neural Computation, October 2012, The MIT Press

    Prof. Dr. Gustau Camps-Valls

  320. Semisupervised Classification of Remote Sensing Images With Active Queries

    Article • IEEE Transactions on Geoscience and Remote Sensing, October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  321. Learning with the kernel signal to noise ratio

    Article • September 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  322. Nonlinear data description with Principal Polynomial Analysis

    Article • September 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  323. Preface

    Article • September 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  324. Semisupervised kernel orthonormalized partial least squares

    Article • September 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  325. Including invariances in SVM remote sensing image classification

    Article • July 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  326. Semisupervised nonlinear feature extraction for image classification

    Article • July 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  327. Remote sensing image segmentation by active queries

    Article • Pattern Recognition, June 2012, Elsevier

    Prof. Dr. Gustau Camps-Valls

  328. Nonlinear Statistical Retrieval of Atmospheric Profiles From MetOp-IASI and MTG-IRS Infrared Sounding Data

    Article • IEEE Transactions on Geoscience and Remote Sensing, May 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  329. Retrieval of Vegetation Biophysical Parameters Using Gaussian Process Techniques

    Article • IEEE Transactions on Geoscience and Remote Sensing, May 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  330. Kernel Entropy Component Analysis for Remote Sensing Image Clustering

    Article • IEEE Geoscience and Remote Sensing Letters, March 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • Remote Sensing of Environment, March 2012, Elsevier

    Prof. Dr. Gustau Camps-Valls

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

    Article • Expert Systems with Applications, February 2012, Elsevier

    Prof. Dr. Gustau Camps-Valls

  333. Large Margin Filtering

    Article • IEEE Transactions on Signal Processing, February 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  334. Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping

    Article • IEEE Transactions on Geoscience and Remote Sensing, November 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  335. Support vector machines in remote sensing: the tricks of the trade

    Article • October 2011, SPIE

    Prof. Dr. Gustau Camps-Valls

  336. Regularized Multiresolution Spatial Unmixing for ENVISAT/MERIS and Landsat/TM Image Fusion

    Article • IEEE Geoscience and Remote Sensing Letters, September 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  337. Explicit signal to noise ratio in reproducing kernel Hilbert spaces

    Article • July 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  338. Gridding Artifacts on Medium-Resolution Satellite Image Time Series: MERIS Case Study

    Article • IEEE Transactions on Geoscience and Remote Sensing, July 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  339. Kernel image similarity criterion

    Article • July 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  340. Kernel-based retrieval of atmospheric profiles from IASI data

    Article • July 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  341. Large scale semi-supervised image segmentation with active queries

    Article • July 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  342. Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation

    Article • IEEE Geoscience and Remote Sensing Letters, July 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  343. Principal polynomial analysis for remote sensing data processing

    Article • July 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  344. Unsupervised change detection in the feature space using kernels

    Article • July 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  345. Introduction to the Issue on Advances in Remote Sensing Image Processing

    Article • IEEE Journal of Selected Topics in Signal Processing, June 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  346. Explicit recursivity into reproducing kernel Hilbert spaces

    Article • May 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  347. Iterative Gaussianization: From ICA to Random Rotations

    Article • IEEE Transactions on Neural Networks, April 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  348. On the Impact of Lossy Compression on Hyperspectral Image Classification and Unmixing

    Article • IEEE Geoscience and Remote Sensing Letters, March 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Joan Serra-Sagrista, Prof. Dr. Gustau Camps-Valls

  349. Urban Image Classification With Semisupervised Multiscale Cluster Kernels

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, March 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  350. Land cover classification of VHR airborne images for citrus grove identification

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, January 2011, Elsevier

    Prof. Dr. Gustau Camps-Valls

  351. Unsupervised change detection by kernel clustering

    Article • October 2010, SPIE

    Prof. Dr. Gustau Camps-Valls

  352. Learning Relevant Image Features With Multiple-Kernel Classification

    Article • IEEE Transactions on Geoscience and Remote Sensing, October 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  353. Spatio-Spectral Remote Sensing Image Classification With Graph Kernels

    Article • IEEE Geoscience and Remote Sensing Letters, October 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  354. Adaptive kernel ridge regression for image denoising

    Article • August 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  355. Learning spatial filters for multispectral image segmentation

    Article • August 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  356. Semi-supervised remote sensing image classification via maximum entropy

    Article • August 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  357. A support vector domain method for change detection in multitemporal images

    Article • Pattern Recognition Letters, July 2010, Elsevier

    Prof. Dr. Gustau Camps-Valls

  358. Cluster-based active learning for compact image classification

    Article • July 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  359. Estimating biophysical variable dependences with kernels

    Article • July 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  360. Remote Sensing Feature Selection by Kernel Dependence Measures

    Article • IEEE Geoscience and Remote Sensing Letters, July 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  361. Semisupervised Neural Networks for Efficient Hyperspectral Image Classification

    Article • IEEE Transactions on Geoscience and Remote Sensing, May 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  362. Structured Output SVM for Remote Sensing Image Classification

    Article • Journal of Signal Processing Systems, April 2010, Springer Science + Business Media

    Prof. Dr. Gustau Camps-Valls

  363. Mean Map Kernel Methods for Semisupervised Cloud Classification

    Article • IEEE Transactions on Geoscience and Remote Sensing, January 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  364. Multisource Composite Kernels for Urban-Image Classification

    Article • IEEE Geoscience and Remote Sensing Letters, January 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  365. PCA Gaussianization for image processing

    Article • November 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  366. Recent advances in remote sensing image processing

    Article • November 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  367. Target Detection With Semisupervised Kernel Orthogonal Subspace Projection

    Article • IEEE Transactions on Geoscience and Remote Sensing, November 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  368. Kernel Methods for Remote Sensing Data Analysis

    Article • October 2009, Wiley

    Prof. Dr. Gustau Camps-Valls

  369. PCA Gaussianization for one-class remote sensing image classification

    Article • September 2009, SPIE

    Prof. Dr. Gustau Camps-Valls

  370. Machine learning in remote sensing data processing

    Article • September 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  371. Recent advances in techniques for hyperspectral image processing

    Article • Remote Sensing of Environment, September 2009, Elsevier

    Prof. Dr. Gustau Camps-Valls

  372. Structured output SVM for remote sensing image classification

    Article • September 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  373. Biophysical parameter estimation with adaptive Gaussian Processes

    Article • July 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  374. Cloud screening with combined MERIS and AATSR images

    Article • July 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  375. Cluster kernels for semisupervised classification of VHR urban images

    Article • May 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  376. A Composite Semisupervised SVM for Classification of Hyperspectral Images

    Article • IEEE Geoscience and Remote Sensing Letters, April 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  377. Biophysical Parameter Estimation With a Semisupervised Support Vector Machine

    Article • IEEE Geoscience and Remote Sensing Letters, April 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  378. Semisupervised Remote Sensing Image Classification With Cluster Kernels

    Article • IEEE Geoscience and Remote Sensing Letters, April 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  379. Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis

    Article • IEEE Transactions on Geoscience and Remote Sensing, March 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  380. Learning non-linear time-scales with kernel -filters

    Article • Neurocomputing, January 2009, Elsevier

    Prof. Dr. Gustau Camps-Valls

  381. Learning the relevant image features with multiple kernels

    Article • January 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  382. Semi-supervised Kernel Target Detection in Hyperspectral Images

    Article • January 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • Journal of Food Engineering, November 2008, Elsevier

    Prof. Dr. Gustau Camps-Valls

  384. Efficient Kernel Orthonormalized PLS for Remote Sensing Applications

    Article • IEEE Transactions on Geoscience and Remote Sensing, October 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  385. Recovering wavelet relations using SVM for image denoising

    Article • October 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  386. Semisupervised Image Classification With Laplacian Support Vector Machines

    Article • IEEE Geoscience and Remote Sensing Letters, July 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  387. Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection

    Article • IEEE Transactions on Geoscience and Remote Sensing, June 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

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

    Article • Journal of Food Engineering, March 2008, Elsevier

    Prof. Dr. Gustau Camps-Valls

  389. Semi-Supervised Kernel Orthogonal Subspace Projection

    Article • January 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  390. Semi-Supervised Support Vector Biophysical Parameter Estimation

    Article • January 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  391. Cloud-Screening Algorithm for ENVISAT/MERIS Multispectral Images

    Article • IEEE Transactions on Geoscience and Remote Sensing, December 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  392. Efficient regularized LDA for hyperspectral image classification

    Article • October 2007, SPIE

    Prof. Dr. Gustau Camps-Valls

  393. An unsupervised support vector method for change detection

    Article • October 2007, SPIE

    Prof. Dr. Gustau Camps-Valls

  394. Semi-Supervised Graph-Based Hyperspectral Image Classification

    Article • IEEE Transactions on Geoscience and Remote Sensing, October 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  395. Hyperspectral detection of citrus damage with Mahalanobis kernel classifier

    Article • Electronics Letters, September 2007, the Institution of Engineering and Technology (the IET)

    Prof. Dr. Gustau Camps-Valls

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

    Article • IEEE Transactions on Geoscience and Remote Sensing, August 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  397. Nonuniform Interpolation of Noisy Signals Using Support Vector Machines

    Article • IEEE Transactions on Signal Processing, August 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  398. Statistical criteria for early-stopping of support vector machines

    Article • Neurocomputing, August 2007, Elsevier

    Prof. Dr. Gustau Camps-Valls

  399. Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines

    Article • IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), May 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  400. Nonlinear System Identification With Composite Relevance Vector Machines

    Article • IEEE Signal Processing Letters, April 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  401. Kernel Antenna Array Processing

    Article • IEEE Transactions on Antennas and Propagation, March 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Dr. Gustau Camps-Valls

  402. Retrieval of oceanic chlorophyll concentration with relevance vector machines

    Article • Remote Sensing of Environment, November 2006, Elsevier

    Prof. Dr. Gustau Camps-Valls

  403. Multitemporal image classification and change detection with kernels

    Article • September 2006, SPIE

    Prof. Dr. Gustau Camps-Valls

  404. Bioinformatics and Computational Biology

    Article • IGI Global

    Prof. Dr. Gustau Camps-Valls