Forest biomass estimation in Western Sayani mountains, Siberia from SAR data

This paper investigated the possibility of using SIR-C L band data to map forest biomass in the mountainous Western Sayani area in Siberia. The results of using DEM and a model-based method for reducing terrain effects were evaluated. A model-based slope correction was LHV backscattering image, and then a biomass produced from this image using a regression model. The results indicate that multi-polarization L band SAR data can be used to provide estimation of total above-ground biomass of forest stands in mountainous areas.