gastellu-etchegorry jean-philippe
gastellu-etchegorry jean-philippe
Paul Sabatier University (CESBIO), Toulouse, France
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Modeling radiative transfer in heterogeneous 3-D vegetation canopies
JP Gastellu-Etchegorry, V Demarez, V Pinel, F Zagolski
Remote sensing of environment 58 (2), 131-156, 1996
Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress
GH Mohammed, R Colombo, EM Middleton, U Rascher, C van der Tol, ...
Remote sensing of environment 231, 111177, 2019
Quantifying vegetation biophysical variables from imaging spectroscopy data: A review on retrieval methods
J Verrelst, Z Malenovský, C Van der Tol, G Camps-Valls, ...
Surveys in Geophysics 40, 589-629, 2019
DART: a 3D model for simulating satellite images and studying surface radiation budget
JP Gastellu-Etchegorry, E Martin, F Gascon
International journal of remote sensing 25 (1), 73-96, 2004
Third Radiation Transfer Model Intercomparison (RAMI) exercise: Documenting progress in canopy reflectance models
JL Widlowski, M Taberner, B Pinty, V Bruniquel‐Pinel, M Disney, ...
Journal of Geophysical Research: Atmospheres 112 (D9), 2007
Discrete anisotropic radiative transfer (DART 5) for modeling airborne and satellite spectroradiometer and LIDAR acquisitions of natural and urban landscapes
JP Gastellu-Etchegorry, T Yin, N Lauret, T Cajgfinger, T Gregoire, E Grau, ...
Remote Sensing 7 (2), 1667-1701, 2015
The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing
JL Widlowski, C Mio, M Disney, J Adams, I Andredakis, C Atzberger, ...
Remote Sensing of Environment 169, 418-437, 2015
Retrieval of spruce leaf chlorophyll content from airborne image data using continuum removal and radiative transfer
Z Malenovský, L Homolová, R Zurita-Milla, P Lukeš, V Kaplan, J Hanuš, ...
Remote Sensing of Environment 131, 85-102, 2013
DART: recent advances in remote sensing data modeling with atmosphere, polarization, and chlorophyll fluorescence
JP Gastellu-Etchegorry, N Lauret, T Yin, L Landier, A Kallel, Z Malenovský, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
Relating the global vegetation index to net primary productivity and actual evapotranspiration over Africa
TitleREMOTE SENSING 14 (8), 1517-1546, 1993
Downscaling of solar-induced chlorophyll fluorescence from canopy level to photosystem level using a random forest model
X Liu, L Guanter, L Liu, A Damm, Z Malenovský, U Rascher, D Peng, S Du, ...
Remote Sensing of Environment 231, 110772, 2019
Simulating imaging spectrometer data: 3D forest modeling based on LiDAR and in situ data
FD Schneider, R Leiterer, F Morsdorf, JP Gastellu-Etchegorry, N Lauret, ...
Remote Sensing of Environment 152, 235-250, 2014
Seasonal variation of leaf chlorophyll content of a temperate forest. Inversion of the PROSPECT model
V Demarez, GE jean-Philippe
International Journal of Remote Sensing 20 (5), 879-894, 1999
Influence of woody elements of a Norway spruce canopy on nadir reflectance simulated by the DART model at very high spatial resolution
Z Malenovský, E Martin, L Homolová, JP Gastellu-Etchegorry, ...
Remote Sensing of Environment 112 (1), 1-18, 2008
Sensitivity of texture of high resolution images of forest to biophysical and acquisition parameters
V Bruniquel-Pinel, JP Gastellu-Etchegorry
Remote Sensing of Environment 65 (1), 61-85, 1998
The fourth radiation transfer model intercomparison (RAMI‐IV): Proficiency testing of canopy reflectance models with ISO‐13528
JL Widlowski, B Pinty, M Lopatka, C Atzberger, D Buzica, M Chelle, ...
Journal of Geophysical Research: Atmospheres 118 (13), 6869-6890, 2013
The variation of apparent crown size and canopy heterogeneity across lowland Amazonian forests
N Barbier, P Couteron, C Proisy, Y Malhi, JP Gastellu‐Etchegorry
Global Ecology and Biogeography 19 (1), 72-84, 2010
Modeling BRF and radiation regime of boreal and tropical forests: I. BRF
JP Gastellu-Etchegorry, P Guillevic, F Zagolski, V Demarez, V Trichon, ...
Remote Sensing of Environment 68 (3), 281-316, 1999
Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning
JB Féret, G Le Maire, S Jay, D Berveiller, R Bendoula, G Hmimina, ...
Remote Sensing of Environment 231, 110959, 2019
A modeling approach for studying forest chlorophyll content
V Demarez, JP Gastellu-Etchegorry
Remote Sensing of Environment 71 (2), 226-238, 2000
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