Title :
Forest biomass estimation in Western Sayani mountains, Siberia from SAR data
Author :
Sun, G. ; Ranson, K.J. ; Kharuk, V.I.
Author_Institution :
Dept. of Geogr., Maryland Univ., College Park, MD, USA
Abstract :
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
Keywords :
forestry; geophysical techniques; radar polarimetry; remote sensing by radar; spaceborne radar; synthetic aperture radar; vegetation mapping; L-band; LHV backscattering image; Russia; SAR; SIR-C; Sayani; Siberia; Western Sayani mountains; biomass; forest; forest biomass; forestry; geophysical measurement technique; lane surface; mountain area; mountainous area; multi-polarization; radar polarimetry; radar remote sensing; regression model; slope correction; synthetic aperture radar; terrain effect; vegetation mapping; Backscatter; Biomass; Geography; Pixel; Radar imaging; Spaceborne radar; Sun; Surfaces; Synthetic aperture radar; Terrain mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.860556
