Retrieval of forest biophysical variables by inverting a 3-D radiative transfer model and using high and very high resolution imagery
Ferran Gascon(European Space Research Institute), Éric Dufrêne(Centre National de la Recherche Scientifique), Marie-José Lefèvre-Fonollosa(Centre National d'Études Spatiales), Jean‐Philippe Gastellu‐Etchegorry(Centre National de la Recherche Scientifique)
Cited by 74
Related Papers
Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress
|Remote Sensing of Environment|2019|760
Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods
|Surveys in Geophysics|2018|506
Modeling radiative transfer in heterogeneous 3-D vegetation canopies
|Remote Sensing of Environment|1996|502
Discrete Anisotropic Radiative Transfer (DART 5) for Modeling Airborne and Satellite Spectroradiometer and LIDAR Acquisitions of Natural and Urban Landscapes
|Remote Sensing|2015|344
DART: a 3D model for simulating satellite images and studying surface radiation budget
|International Journal of Remote Sensing|2003|336