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2007 International Workshop on the Analysis of Multi-temporal Remote Sensing Images

DOI: 10.1109/multitemp.2007.4293067

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A Novel Methodology for Parameter Retrieval from Multi-temporal Data Demonstrated for Forest Biomass Retrieval from C-band SAR Backscatter

Proceedings article published in 2007 by Urs Wegmuller, Maurizio Santoro, Andreas Wiesmann
This paper is available in a repository.
This paper is available in a repository.

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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.