DocumentCode :
3297595
Title :
A Novel Methodology for Parameter Retrieval from Multi-temporal Data Demonstrated for Forest Biomass Retrieval from C-band SAR Backscatter
Author :
Wegmuller, Urs ; Santoro, Maurizio ; Wiesmann, Andreas
Author_Institution :
Gamma Remote Sensing AG, Gumligen
fYear :
2007
fDate :
18-20 July 2007
Firstpage :
1
Lastpage :
6
Abstract :
A methodology for parameter retrieval from multi-temporal Earth observation data is proposed and applied to forest biomass retrieval from C-band SAR backscatter. The potential of single observation C-band SAR data to map forest biomass is limited mainly due to a low sensitivity and the dependence of C-band scattering on many other parameters. In this contribution a methodology to retrieve forest biomass from multi-temporal C-band SAR observations is presented. The method was applied to map forest biomass over a large area in Central Siberia using significant stacks of ENVISAT ASAR Wide-Swath data. The resulting forest biomass map is assessed by comparison with available inventory data. The quality achieved appears very promising.
Keywords :
geophysical techniques; radar cross-sections; remote sensing by radar; synthetic aperture radar; vegetation; C-band SAR backscatter; Central Siberia; ENVISAT ASAR Wide-Swath data; forest biomass map; forest biomass retrieval; multi-temporal Earth observation data; Backscatter; Biomass; Earth; Information retrieval; Interferometry; Phase noise; Remote sensing; Soil; Stacking; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Analysis of Multi-temporal Remote Sensing Images, 2007. MultiTemp 2007. International Workshop on the
Conference_Location :
Leuven
Print_ISBN :
1-4244-0846-6
Electronic_ISBN :
1-4244-0846-6
Type :
conf
DOI :
10.1109/MULTITEMP.2007.4293067
Filename :
4293067
Link To Document :
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