Gustau Camps‐Valls

Research interests

Publications

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

  Biogeosciences · 2024 · https://doi.org/10.5194/bg-21-5079-2024

• Estimation of vegetation traits with kernel NDVI

  ISPRS Journal of Photogrammetry and Remote Sensing · 2022 · https://doi.org/10.1016/j.isprsjprs.2022.12.019

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

  IEEE Geoscience and Remote Sensing Magazine · 2022 · https://doi.org/10.1109/mgrs.2021.3136100

• Emergent vulnerability to climate-driven disturbances in European forests

  Nature Communications · 2021 · 10.1038/s41467-021-21399-7

• A unified vegetation index for quantifying the terrestrial biosphere

  Science Advances · 2021 · 10.1126/sciadv.abc7447

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

  Biogeosciences · 2020 · https://doi.org/10.5194/bg-17-1343-2020

• The FLUXCOM ensemble of global land-atmosphere energy fluxes

  Scientific Data · 2019 · https://doi.org/10.1038/s41597-019-0076-8

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

  Nature · 2019 · https://doi.org/10.1038/s41586-019-0912-1

• Inferring causation from time series in Earth system sciences

  Nature Communications · 2019 · https://doi.org/10.1038/s41467-019-10105-3

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

  Surveys in Geophysics · 2018 · 10.1007/s10712-018-9478-y

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

  Nature · 2017 · https://doi.org/10.1038/nature20780

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

  Biogeosciences · 2016 · 10.5194/bg-13-4291-2016

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

  Proceedings of the IEEE · 2015 · 10.1109/jproc.2015.2449668

• Unsupervised Deep Feature Extraction for Remote Sensing Image Classification

  IEEE Transactions on Geoscience and Remote Sensing · 2015 · https://doi.org/10.1109/tgrs.2015.2478379

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

  ISPRS Journal of Photogrammetry and Remote Sensing · 2015 · 10.1016/j.isprsjprs.2015.04.013

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

  ISPRS Journal of Photogrammetry and Remote Sensing · 2015 · https://doi.org/10.1016/j.isprsjprs.2015.05.005

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

  Proceedings of the National Academy of Sciences · 2014 · https://doi.org/10.1073/pnas.1320008111

• Hyperspectral Remote Sensing Data Analysis and Future Challenges

  IEEE Geoscience and Remote Sensing Magazine · 2013 · https://doi.org/10.1109/mgrs.2013.2244672

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

  IEEE Signal Processing Magazine · 2013 · 10.1109/msp.2013.2279179

• Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation

  IEEE Geoscience and Remote Sensing Letters · 2011 · 10.1109/lgrs.2011.2109934

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

  Remote Sensing of Environment · 2011 · 10.1016/j.rse.2011.11.002

• Semisupervised Neural Networks for Efficient Hyperspectral Image Classification

  IEEE Transactions on Geoscience and Remote Sensing · 2010 · 10.1109/tgrs.2009.2037898

• Recent advances in techniques for hyperspectral image processing

  Remote Sensing of Environment · 2009 · https://doi.org/10.1016/j.rse.2007.07.028

• Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis

  IEEE Transactions on Geoscience and Remote Sensing · 2009 · 10.1109/tgrs.2008.2005729

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

  IEEE Transactions on Geoscience and Remote Sensing · 2008 · 10.1109/tgrs.2008.916201

• Semi-Supervised Graph-Based Hyperspectral Image Classification

  IEEE Transactions on Geoscience and Remote Sensing · 2007 · 10.1109/tgrs.2007.895416

• Composite Kernels for Hyperspectral Image Classification

  IEEE Geoscience and Remote Sensing Letters · 2006 · https://doi.org/10.1109/lgrs.2005.857031

• Kernel-based methods for hyperspectral image classification

  IEEE Transactions on Geoscience and Remote Sensing · 2005 · https://doi.org/10.1109/tgrs.2005.846154

Current projects

No projects listed.