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Computer Science

D-Index
36
Citations
7865
World Ranking
11053
National Ranking
268

Overview

Jordi Inglada is affiliated with the Centre d'Etudes Spatiales de la BIOsphère in France. Their research predominantly spans the fields of Environmental Science and Computer Science, with significant contributions to related subfields such as Ecology, Signal Processing, Artificial Intelligence, Environmental Engineering, and Media Technology.

The scientist's work addresses a diverse range of topics, primarily in the area of remote sensing and its applications. Key topics of study include:

  • Remote Sensing in Agriculture
  • Time Series Analysis and Forecasting
  • Remote Sensing and LiDAR Applications
  • Remote-Sensing Image Classification
  • Geochemistry and Geologic Mapping
  • Remote Sensing and Land Use
  • Advanced Image Fusion Techniques

Jordi Inglada has published extensively, with frequent appearances in venues such as Zenodo (CERN European Organization for Nuclear Research), Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, and Revue Française de Photogrammétrie et de Télédétection.

Their recent papers include:

  • Detection of Irrigated and Rainfed Crops in Temperate Areas Using Sentinel-1 and Sentinel-2 Time Series, 2020, Remote Sensing
  • Geometry Aware Evaluation of Handcrafted Superpixel-Based Features and Convolutional Neural Networks for Land Cover Mapping Using Satellite Imagery, 2020, Remote Sensing
  • Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series, 2024, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Physics-constrained deep learning for biophysical parameter retrieval from Sentinel-2 images: Inversion of the PROSAIL model, 2024, Remote Sensing of Environment
  • SEN2VENµS, a Dataset for the Training of Sentinel-2 Super-Resolution Algorithms, 2022, Data

Collaborations are a notable aspect of Jordi Inglada's research, with frequent co-authors including Silvia Valero, Iris Dumeur, Valentine Bellet, Mathieu Fauvel, and Julien Michel. These collaborations have contributed to the advancement of topics within their field through joint research efforts.

Best Publications

  • A New Statistical Similarity Measure for Change Detection in Multitemporal SAR Images and Its Extension to Multiscale Change Analysis

    J. Inglada;G. Mercier

  • Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas

    Charlotte Pelletier;Silvia Valero;Jordi Inglada;Nicolas Champion

  • Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series

    Jordi Inglada;Arthur Vincent;Marcela Arias;Benjamin Tardy

  • Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery

    Jordi Inglada;Marcela Arias;Benjamin Tardy;Olivier Hagolle

  • Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world

    Pierre Defourny;Sophie Bontemps;Nicolas Bellemans;Cosmin Cara

  • Satellite Image Time Series Analysis Under Time Warping

    F. Petitjean;J. Inglada;P. Gancarski

  • Automatic recognition of man-made objects in high resolution optical remote sensing images by SVM classification of geometric image features

    Jordi Inglada

  • Improved Early Crop Type Identification By Joint Use of High Temporal Resolution SAR And Optical Image Time Series

    Jordi Inglada;Arthur Vincent;Marcela Arias;Claire Marais-Sicre

  • Orfeo ToolBox: open source processing of remote sensing images

    Manuel Grizonnet;Julien Michel;Victor Poughon;Jordi Inglada

  • On the possibility of automatic multisensor image registration

    J. Inglada;A. Giros

  • Effect of Training Class Label Noise on Classification Performances for Land Cover Mapping with Satellite Image Time Series

    Charlotte Pelletier;Silvia Valero;Jordi Inglada;Nicolas Champion

  • Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest

    G. Licciardi;F. Pacifici;D. Tuia;S. Prasad

  • Multi-Modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009–2010 Data Fusion Contest

    N. Longbotham;F. Pacifici;T. Glenn;A. Zare

  • An Automated Method for Annual Cropland Mapping along the Season for Various Globally-Distributed Agrosystems Using High Spatial and Temporal Resolution Time Series

    Nicolas Matton;Guadalupe Sepulcre Canto;François Waldner;Silvia Valero

  • Remote Sensing Processing: From Multicore to GPU

    E. Christophe;J. Michel;J. Inglada

  • Production of a Dynamic Cropland Mask by Processing Remote Sensing Image Series at High Temporal and Spatial Resolutions

    Silvia Valero;David Morin;Jordi Inglada;Guadalupe Sepulcre

  • The Orfeo Toolbox remote sensing image processing software

    J. Inglada;E. Christophe

  • ASAR ERS interferometric phase continuity

    A. Arnaud;N. Adam;R. Hanssen;J. Inglada

  • Land Cover Maps Production with High Resolution Satellite Image Time Series and Convolutional Neural Networks: Adaptations and Limits for Operational Systems

    Andrei Stoian;Vincent Poulain;Jordi Inglada;Victor Poughon

  • Change Detection in Multisensor SAR Images Using Bivariate Gamma Distributions

    F. Chatelain;J.-Y. Tourneret;J. Inglada

Frequent Co-Authors

Olivier Hagolle
Olivier Hagolle Centre National D'Etudes Spatiales
Gérard Dedieu
Gérard Dedieu Federal University of Toulouse Midi-Pyrénées
Pierre Defourny
Pierre Defourny Université Catholique de Louvain
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Jean-Yves Tourneret
Jean-Yves Tourneret National Polytechnic Institute of Toulouse
Isabelle Bloch
Isabelle Bloch Télécom ParisTech
Richard Lucas
Richard Lucas Aberystwyth University
Florence Tupin
Florence Tupin Télécom ParisTech
Devis Tuia
Devis Tuia École Polytechnique Fédérale de Lausanne

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