DocumentCode :
2676382
Title :
Application of a coherent modeling on Sahelian grassland
Author :
Monsivais-Huertero, Alejandro ; Chenerie, Isabelle ; Sarabandi, Kamal ; Baup, Frederic
Author_Institution :
Univ. Paul Sabatier, Toulouse
fYear :
2007
fDate :
23-28 July 2007
Firstpage :
3405
Lastpage :
3407
Abstract :
The validity of a coherent Sahelian-grassland scattering model is determined by comparing the model predictions with satellite measurements of a representative site. This model considers the realistic botanical structure of grassland. The site Agoufou, located in the Northern Mali, was selected as the test target. This site is governed by a semi-arid tropical climate. Its vegetation is mainly composed of shrubs and annual grass. HH polarization backscattering data was collected over an entire growing season at different incidence angles by means of the ENVISAT ASAR. Simulations provided by the coherent model show a good agreement with measured data having a correlation coefficient equal to 0.92. Model predictions show that the HH polarization component is higher than the W polarization component during all growing season. Significant parameters are shown to be the grass density, the soil moisture content and the grass moisture content. The most sensitive parameter is the ground soil moisture content. Moreover, it is observed that the variation of the backscattering coefficient for all parameters can be represented by a linear regression function.
Keywords :
environmental factors; hydrological techniques; moisture; remote sensing by radar; soil; vegetation; Agoufou; ENVISAT ASAR; HH polarization backscattering data; Sahelian grassland coherent modeling; W polarization component; annual grass; backscattering coefficient variation; coherent scattering model; grass density; grass moisture content; grassland botanical structure; linear regression function; northern Mali; satellite measurement comparison; semi-arid tropical climate; shrubs; soil moisture content; vegetation; Backscatter; Linear regression; Polarization; Predictive models; Satellites; Scattering; Soil measurements; Soil moisture; Testing; Vegetation; Sahelian grassland; radar remote sensing; scattering model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
Type :
conf
DOI :
10.1109/IGARSS.2007.4423576
Filename :
4423576
Link To Document :
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