DocumentCode :
339514
Title :
Upscaling the retrieval of biophysical parameters from the hot spot: the GHOST model and its inversion
Author :
Lacaze, Roselyne ; Roujean, Jean-Louis
Author_Institution :
CNRM/GAME, CNRS/Meteo France, Toulouse, France
Volume :
3
fYear :
1999
fDate :
1999
Firstpage :
1869
Abstract :
The complex architecture of conifer species affects the radiation distribution processes and therefore the shape of the BRDF. The strongest phenomenon is the hot spot which influences the whole directional signature. The GHOST (G and HOt SpoT) model simulates the directional reflectance by reproducing the hot spot peak and taking into account the canopy architecture through the expression of the G-function. The model is inverted against POLDER data acquired at various spatial scale resolutions over the BOREAS experiment sites. The innovation of the inversion method is based upon the use of data sets in the angular domain of predominant influence of the single scattering albedo, the effective LAI and the architectural parameters
Keywords :
forestry; geophysical techniques; remote sensing; vegetation mapping; BRDF; G-function; GHOST; GHOST model; IR; bidirectional reflectance distribution function; biophysical parameters; canopy architecture; complex architecture; conifer species; directional reflectance; directional signature; forest; forestry; geophysical measurement technique; hot spot; infrared; inversion; model; optical imaging; radiation distribution; remote sensing; retrieval; upscaling; vegetation mapping; visible; Equations; Light scattering; Probability; Reflectivity; Scattering parameters; Shape; Solid modeling; Spatial resolution; Technological innovation; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
Type :
conf
DOI :
10.1109/IGARSS.1999.772122
Filename :
772122
Link To Document :
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