DocumentCode :
2233422
Title :
Specific biomass indicator for tropical dense forests over hilly terrains derived from the P-band SAR coherency matrix
Author :
Villard, Ludovic ; Toan, Thuy Le ; Lasne, Yannick ; Mermoz, Stéphane
Author_Institution :
CESBIO, Toulouse, France
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
5344
Lastpage :
5347
Abstract :
Forest biomass retrieval using P-band SAR data has been demonstrated during the past 2 decades. However, little effort has been made to recover biomass in tropical forests, with biomass values typically ranges from 250 to 500 t/ha. In this high range of biomass, the radar backscatter coefficients exhibit poor sensitivity to biomass, which is often obscured by perturbing effects. The most important effect is caused by topography, which needs to be corrected before biomass inversion. In this work, we develop a new backscatter coefficient called t0 to account for (a) the non reflection symmetry of the forests in case of slopes and (b) the change in angular variation of the backscatter following the change of scattering mechanisms due to slopes. The method is tested on TropiSAR campaign data at two forest sites in French Guiana. The results shows the relevance of proposed correction methods to reduce the effects of topography in dense forests.
Keywords :
geophysical image processing; remote sensing by radar; synthetic aperture radar; topography (Earth); vegetation mapping; French Guiana; P-band SAR coherency matrix; P-band SAR data; TropiSAR campaign data; biomass inversion; biomass values; correction methods; forest biomass retrieval; forest sites; hilly terrains; nonreflection symmetry; perturbing effects; radar backscatter coefficients; scattering mechanisms; specific biomass indicator; topography; tropical dense forests; Backscatter; Biomass; Scattering; Surfaces; Synthetic aperture radar; Vectors; P-band SAR polarimetric intensities; Sensitivity to Forest Biomass; Topography effects;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6352400
Filename :
6352400
Link To Document :
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