Jordi Inglada

Centre National de la Recherche Scientifique — France

Environmental Science · Physical Sciences

37h-index7.2kcitations277works8.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Remote Sensing in Agriculture(92), Remote-Sensing Image Classification(80), Remote Sensing and Land Use(42), Remote Sensing and LiDAR Applications(35), Advanced Image and Video Retrieval Techniques(28)

Publications277 total

Trends in the annual snow melt-out day over the French Alps and Pyrenees from 38 years of high-resolution satellite data (1986–2023)
˜The œcryosphere·2025· 6 citedOpen Access
SEN2VENµS, a dataset for the training of Sentinel-2 super-resolution algorithms
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Revisiting Remote Sensing Cross-Sensor Single Image Super-Resolution: The Overlooked Impact of Geometric and Radiometric Distortion
IEEE Transactions on Geoscience and Remote Sensing·2025· 4 cited
LAI retrieval from optical satellite imagery using residual physics-guided neural topologies with the PROSAIL RTM
SSRN Electronic Journal·2025Open Access
Paving the Way Toward Foundation Models for Irregular and Unaligned Satellite Image Time Series
IEEE Transactions on Geoscience and Remote Sensing·2025· 6 citedOpen Access
Trends in the annual snow melt-out day over the French Alps and the Pyrenees from 38 years of high resolution satellite data (1986–2023)
2024· 4 citedOpen Access
Physics-constrained deep learning for biophysical parameter retrieval from Sentinel-2 images: Inversion of the PROSAIL model
Remote Sensing of Environment·2024· 22 citedOpen Access
Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·2024· 25 citedOpen Access
Snow and Cloud Classification in Historical SPOT Images: An Image Emulation Approach for Training a Deep Learning Model Without Reference Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·2024· 12 citedOpen Access
End-to-End Learning for Land Cover Classification Using Irregular and Unaligned SITS by Combining Attention-Based Interpolation With Sparse Variational Gaussian Processes
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·2023· 6 citedOpen Access
Best learned models : Land Cover Classification with Gaussian Processes using spatio-spectro-temporal features
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Best learned models : Land Cover Classification with Gaussian Processes using spatio-spectro-temporal features
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Prospecter les montagnes autrement: Télédétection Archéologique en Haute et Moyenne Montagne (TAHMM)
HAL (Le Centre pour la Communication Scientifique Directe)·2023Open Access
Prospecter autrement les montagnes: Télédétection Archéologique et Haute et Moyenne Montagne (TAHMM)
HAL (Le Centre pour la Communication Scientifique Directe)·2023Open Access
Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series
2023· 3 cited
Reconstruction of the Snow Cover at High Spatial Resolution Since 1985: an Image Emulation Approach for Training a Deep Learning Model without Reference Data
2023
Land cover maps: End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Classification Data set: End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Best Learned Models: End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Land cover maps: End-to-end Learning for Land Cover Classification using Irregular and Unaligned SITS by Combining Attention-Based Interpolation with Sparse Variational Gaussian Processes
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
page 1 of 14Next →

Frequent Co-authors

Silvia Valero(10), Julien Michel(9), Marcela Arias(7), Gérard Dedieu(6), David Morin(5), Pierre Defourny(5), Sophie Bontemps(5), Olivier Hagolle(5), Benjamin Koetz(5), Emmanuel Christophe(5), Vincent Poulain(4), Dawa Derksen(4), Benjamin Tardy(3), Mickaël Savinaud(3), Guadalupe Sepulcre(3), Victor Poughon(3), Jean‐Yves Tourneret(3), Charlotte Pelletier(2), Nicolas Champion(2), Arthur Vincent(2)