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
         
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/MULTITEMP.2007.4293067