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职业迁徙
个人简介
My research work is focused on radiative transfer modeling with applications focused on forestry, agriculture and urban landscapes to vegetation . Since, 1992, I head the team that develops the DART model (https://dart.omp.eu) that simulates the radiative budget, including fluorescence, and remote sensing observations (satellite /airborne / in-situ spectroradiometer and LIDAR) of natural and urban landscapes. DART has become the most comprehensive model used in the remote sensing domain. It was patented in 2003. UT3 had distributed 460 licenses to research and space centers (CNES, ESA, NASA, etc.). I acted as a remote sensing expert with World Bank, FAO/United Nations and European Space Agency. I head(ed) and participate(d) in numerous projects with strong modeling and remote sensing components: ESA (Hyperspectral "Red Edge" and "HYPOS", "Fire"), European Community (UrbanFluxes: http://urbanfluxes.eu/), CNES (LiDAR, Hyperspectral). I wrote 172 papers (rate A), 8 invited communications and 7 books and book chapters (https://www.researchgate.net/profile/Jean-Philippe_Gastellu-Etchegorry/publications). I am co-chair of the Modeling in Remote Sensing Technical Committee (MIRS TC) of IEEE and Executive editor in chief of the Journal of Remote Sensing.
研究兴趣
论文共 146 篇作者统计合作学者相似作者
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Valentin Boulisset,Jean-Luc Attie,Ronan Tournier,Xavier Ceamanos, Javier Andrey, Eric Pequignot,Nicolas Lauret,Jean-Philippe Gastellu-Etchegorry
REMOTE SENSINGno. 1 (2024): 140
Yingjie Wang,Nicolas Lauret,Omar Regaieg,Xuebo Yang,Jordan Guilleux,Eric Chavanon,Abdelaziz Kallel, Mustapha Moulana, Jerome Colin,Olivier Hagolle,Didier Ramon,Jean-Philippe Gastellu-Etchegorry
REMOTE SENSING OF ENVIRONMENT (2024): 113946
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2024): 1-20
Remote Sensing of Environment (2023): 113832-113832
Remote Sensing of Environment (2023): 113824-113824
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2023): 7343-7356
Building and Environment (2023): 110410-110410
ISPRS Journal of Photogrammetry and Remote Sensing (2023): 206-226
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