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A major goal of current research is to address temporal climatic variations that are related to CO2 emissions. A significant portion ofthese emissions are due to forest destruction and the resulting conversion of biomass to CO2. As 30% of the earth's landmass isforest-covered, it is important to understand the biomass content with better estimates than are currently available. This research hasaddressed the determination of forest biomass in a Northern Alberta forest site, using novel techniques known as POLInSAR(Polarimetry Interferometry SAR) to study the 3D vegetated structure of forests through using an L-Band single-pass airbornesystem. Results of this study indicate strong relation between vertical structure and above ground biomass. In this paper we show thepreliminary results of the work including the resulting tomographic expression of the test forest area

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

BIOMASS ESTIMATION USING VERTICAL FOREST STRUCTURE FROM SAR TOMOGRAGHY: A CASE STUDY IN CANADIAN BOREAL FOREST.