World's Best Scientists 2026 revealed!
Gustau Camps-Valls

Gustau Camps-Valls

Award Badge
Computer Science
Spain
2026

D-Index & Metrics

Computer Science

D-Index
88
Citations
39010
World Ranking
671
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Computer Science in Spain Leader Award
  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award
  • 2018 - IEEE Fellow For contributions to machine learning in remote sensing

Overview

Gustau Camps-Valls is affiliated with the University of Valencia in Spain and has a research profile centered on environmental science and computer science, with an emphasis on the intersection of these fields through remote sensing and machine learning.

The main fields of study in their work include:

  • Environmental Science
  • Computer Science

Within these fields, their research covers the following subfields:

  • Global and Planetary Change
  • Artificial Intelligence
  • Ecology
  • Environmental Engineering
  • Media Technology

The scientist's work addresses various main topics, such as:

  • Remote Sensing in Agriculture
  • Atmospheric and Environmental Gas Dynamics
  • Climate Variability and Models
  • Remote-Sensing Image Classification
  • Plant Water Relations and Carbon Dynamics
  • Meteorological Phenomena and Simulations
  • Geochemistry and Geologic Mapping

Frequent co-authors in their publications include María Piles, Markus Reichstein, Adrián Pérez-Suay, Jordi Muñoz-Marí, and Miguel D. Mahecha, with collaboration counts ranging from 20 to 25 joint works.

Their research outputs have been published mainly in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • Zenodo (CERN European Organization for Nuclear Research)
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • Remote Sensing of Environment

Recent papers authored or co-authored by Gustau Camps-Valls include:

  • Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach (2020, Biogeosciences)
  • A unified vegetation index for quantifying the terrestrial biosphere (2021, Science Advances)
  • Emergent vulnerability to climate-driven disturbances in European forests (2021, Nature Communications)
  • Understanding deep learning in land use classification based on Sentinel-2 time series (2020, Scientific Reports)
  • Retrieval of aboveground crop nitrogen content with a hybrid machine learning method (2020, International Journal of Applied Earth Observation and Geoinformation)

Gustau Camps-Valls received the IEEE Fellow award in 2018 for contributions to machine learning in remote sensing.

Best Publications

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

    Markus Reichstein;Gustau Camps-Valls;Bjorn Stevens;Martin Jung

  • Hyperspectral Remote Sensing Data Analysis and Future Challenges

    J. M. Bioucas-Dias;A. Plaza;G. Camps-Valls;P. Scheunders

  • Recent Advances in Techniques for Hyperspectral Image Processing

    Antonio Plaza;Jon Atli Benediktsson;Joseph W. Boardman;Jason Brazile

  • Kernel-based methods for hyperspectral image classification

    G. Camps-Valls;L. Bruzzone

  • Composite kernels for hyperspectral image classification

    G. Camps-Valls;L. Gomez-Chova;J. Munoz-Mari;J. Vila-Frances

  • Inferring causation from time series in Earth system sciences

    Jakob Runge;Jakob Runge;Sebastian Bathiany;Erik Bollt;Gustau Camps-Valls

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

    Gustavo Camps-Valls;Devis Tuia;Lorenzo Bruzzone;Jon Atli Benediktsson

  • Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis

    T.V. Bandos;L. Bruzzone;G. Camps-Valls

  • Unsupervised Deep Feature Extraction for Remote Sensing Image Classification

    Adriana Romero;Carlo Gatta;Gustau Camps-Valls

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

    Jochem Verrelst;Gustau Camps-Valls;Jordi Muñoz-Marí;Juan Pablo Rivera

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

    Gianluca Tramontana;Martin Jung;Christopher R. Schwalm;Kazuhito Ichii

  • Semi-Supervised Graph-Based Hyperspectral Image Classification

    G. Camps-Valls;T. Bandos Marsheva;D. Zhou

  • The FLUXCOM ensemble of global land-atmosphere energy fluxes

    Martin Jung;Sujan Koirala;Ulrich Weber;Kazuhito Ichii;Kazuhito Ichii

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

    Jochem Verrelst;Jordi Muñoz;Luis Alonso;Jesús Delegido

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

    Luis Gomez-Chova;Devis Tuia;Gabriele Moser;Gustau Camps-Valls

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

    Jochem Verrelst;Zbynek Malenovsky;Zbynek Malenovsky;Christiaan van der Tol;Gustau Camps-Valls

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

    G. Camps-Valls;L. Gomez-Chova;J. Munoz-Mari;J.L. Rojo-Alvarez

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

    Jochem Verrelst;Juan Pablo Rivera;Frank Veroustraete;Jordi Muñoz-Marí

  • Robust support vector method for hyperspectral data classification and knowledge discovery

    G. Camps-Valls;L. Gomez-Chova;J. Calpe-Maravilla;J.D. Martin-Guerrero

  • Semisupervised Neural Networks for Efficient Hyperspectral Image Classification

    Frederic Ratle;Gustavo Camps-Valls;Jason Weston

  • Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation

    D. Tuia;J. Verrelst;L. Alonso;F. Perez-Cruz

Frequent Co-Authors

Luis Gómez-Chova
Luis Gómez-Chova University of Valencia
Jordi Muñoz-Marí
Jordi Muñoz-Marí University of Valencia
Jose Moreno
Jose Moreno University of Valencia
Luca Martino
Luca Martino King Juan Carlos University
Jochem Verrelst
Jochem Verrelst University of Valencia
Markus Reichstein
Markus Reichstein Max Planck Institute for Biogeochemistry
Devis Tuia
Devis Tuia École Polytechnique Fédérale de Lausanne
Luis Guanter
Luis Guanter Universitat Politècnica de València
Martin Jung
Martin Jung International Institute for Applied Systems Analysis
Emilio Soria-Olivas
Emilio Soria-Olivas University of Valencia

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees related to Computer Science can open up numerous options for students seeking flexibility and affordability. For those interested in technology, pursuing a computer science degree online offers robust training in programming, data structures, and algorithms—all from home and often at your own pace.

If your interests extend to the environment, consider an online environmental engineering degree. This path equips you with skills to solve environmental problems using technology, which is increasingly crucial in today's world.

Engineering remains a sought-after career, and an online mechanical engineering degree can lead to careers in design, manufacturing, and robotics. Online programs make it easier for working professionals to advance their education.

Students drawn to science and analysis may find an online bachelor's degree in physics to be a flexible, affordable way to develop problem-solving skills valued across industries.

Each of these online degree paths offers unique career opportunities and the flexibility to learn from anywhere, making higher education more accessible than ever before.

Best Scientists Citing Gustau Camps-Valls

Trending Scientists