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Luis Gómez-Chova

Luis Gómez-Chova

D-Index & Metrics

Computer Science

D-Index
42
Citations
8404
World Ranking
8315
National Ranking
119

Overview

Luis Gómez-Chova is affiliated with the University of Valencia in Spain. Their research spans several overlapping fields including Engineering, Computer Science, and Environmental Science. Within these disciplines, the scientist has concentrated on subfields such as Media Technology, Global and Planetary Change, Artificial Intelligence, Computer Vision and Pattern Recognition, and Atmospheric Science.

The work of Luis Gómez-Chova frequently addresses main topics related to remote sensing and environmental monitoring. Key research areas include Remote-Sensing Image Classification, Advanced Image Fusion Techniques, Atmospheric and Environmental Gas Dynamics, Remote Sensing in Agriculture, Geochemistry and Geologic Mapping, Advanced Computational Techniques and Applications, and Satellite Image Processing and Photogrammetry.

The scientist has published extensively in several venues, with a notable presence in arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing of Environment, and Scientific Data.

Some recent publications illustrate the scope and focus of their research:

  • Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2, 2022, Remote Sensing of Environment
  • Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt, 2020, Environmental Research Letters
  • Benchmarking Deep Learning Models for Cloud Detection in Landsat-8 and Sentinel-2 Images, 2021, Remote Sensing
  • CloudSEN12, a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2, 2022, Scientific Data
  • Multi-spectral multi-image super-resolution of Sentinel-2 with radiometric consistency losses and its effect on building delineation, 2022, ISPRS Journal of Photogrammetry and Remote Sensing

The scientist collaborates frequently with colleagues including Gonzalo Mateo-García, César Aybar, Dan López-Puigdollers, David Montero, and Enrique Portalés-Julià. These collaborations have contributed to expanding the research scope and methodology in the related fields.

Best Publications

  • Composite kernels for hyperspectral image classification

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

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

    Luis Gomez-Chova;Devis Tuia;Gabriele Moser;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

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

    Jordi Mũnoz-Marí;Francesca Bovolo;Luis Gómez-Chova;Lorenzo Bruzzone

  • Semisupervised Image Classification With Laplacian Support Vector Machines

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

  • Improved Fraunhofer Line Discrimination Method for Vegetation Fluorescence Quantification

    L. Alonso;L. Gomez-Chova;J. Vila-Frances;J. Amoros-Lopez

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

    J. Gómez-Sanchis;L. Gómez-Chova;N. Aleixos;G. Camps-Valls

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

    Aleksandra Wolanin;Gustau Camps-Valls;Luis Gómez-Chova;Gonzalo Mateo-García

  • Cloud-Screening Algorithm for ENVISAT/MERIS Multispectral Images

    L. Gomez-Chova;G. Camps-Valls;J. Calpe-Maravilla;L. Guanter

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

    Julia Amorós-López;Luis Gómez-Chova;Luis Alonso;Luis Guanter

  • Estimation of solar-induced vegetation fluorescence from space measurements

    L. Guanter;L. Alonso;L. Gómez-Chova;J. Amorós-López

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

    Aleksandra Wolanin;Gonzalo Mateo-García;Gustau Camps-Valls;Luis Gómez-Chova

  • Multitemporal Cloud Masking in the Google Earth Engine

    Gonzalo Mateo-García;Luis Gómez-Chova;Julia Amorós-López;Jordi Muñoz-Marí

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

    J. Gómez-Sanchis;E. Moltó;G. Camps-Valls;L. Gómez-Chova

  • Mean Map Kernel Methods for Semisupervised Cloud Classification

    L. Gomez-Chova;G. Camps-Valls;L. Bruzzone;J. Calpe-Maravilla

  • Developments for vegetation fluorescence retrieval from spaceborne high‐resolution spectrometry in the O2‐A and O2‐B absorption bands

    L. Guanter;L. Guanter;L. Alonso;L. Gómez-Chova;M. Meroni

  • Retrieval of oceanic chlorophyll concentration with relevance vector machines

    Gustavo Camps-Valls;Luis Gómez-Chova;Jordi Muñoz-Marí;Joan Vila-Francés

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

    Luis Gómez-Chova;Luis Alonso;Luis Guanter;Gustavo Camps-Valls

  • Graph Matching for Adaptation in Remote Sensing

    D. Tuia;J. Munoz-Mari;L. Gomez-Chova;J. Malo

Frequent Co-Authors

Gustau Camps-Valls
Gustau Camps-Valls University of Valencia
Jordi Muñoz-Marí
Jordi Muñoz-Marí University of Valencia
Jose Moreno
Jose Moreno University of Valencia
Luis Guanter
Luis Guanter Universitat Politècnica de València
Luis Alonso
Luis Alonso Universitat Politècnica de Catalunya
Emilio Soria-Olivas
Emilio Soria-Olivas University of Valencia
Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
Jan G. P. W. Clevers
Jan G. P. W. Clevers Wageningen University & Research
Robert Jenssen
Robert Jenssen University of Tromsø - The Arctic University of Norway
Michael E. Schaepman
Michael E. Schaepman University of Zurich

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