Volume XXXIX-B8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B8, 431-435, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B8-431-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B8, 431-435, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B8-431-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  30 Jul 2012

30 Jul 2012

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

E. Renaudin1, B. Mercer1, Q. Zhang2, and M. J. Collins1 E. Renaudin et al.
  • 1University of Calgary, University Drive NW, Calgary, AB, Canada T2N 1N4
  • 2Intermap Technologies Corp., #500, 635 - 6th Avenue SW, Calgary, AB, T2P 0T5, Canada

Keywords: POLInSAR, Tomography, Polarimetry, Interferometry, Forestry, Structure, Biomass

Abstract. A major goal of current research is to address temporal climatic variations that are related to CO2 emissions. A significant portion of these emissions are due to forest destruction and the resulting conversion of biomass to CO2. As 30% of the earth's landmass is forest-covered, it is important to understand the biomass content with better estimates than are currently available. This research has addressed 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 airborne system. Results of this study indicate strong relation between vertical structure and above ground biomass. In this paper we show the preliminary results of the work including the resulting tomographic expression of the test forest area.