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Proceedings Paper

Forest parameters estimation using polarimetric SAR data
Author(s): Kun Li; Yun Shao; Fengli Zhang; Maosong Xu; Xiaofang Li; Zhongsheng Xia
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Paper Abstract

RADARSAT 2 is used to estimate forest parameter. The study site is in Zhazuo forestry centre, Guizhou province, China, where are mainly conifer species. Semi-empirical Water Cloud Model was used to estimate Leaf Area Index (LAI). The result proved that using Water Cloud Model to estimate LAI is feasible. We use classical scatter model to analyze the relationship between Tree Height and backscattering coefficients of different polarization mode or different combinations of polarizations. And found that HH polarization is relatively sensitive to Tree Height, however, their correlation is less than 0.6. It is shown that directly establish relations of backscattering coefficient or different polarization combination and tree height to inverse LAI is not a desirable method.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749857 (30 October 2009); doi: 10.1117/12.832878
Show Author Affiliations
Kun Li, Institute of Remote Sensing Applications (China)
Yun Shao, Institute of Remote Sensing Applications (China)
Fengli Zhang, Institute of Remote Sensing Applications (China)
Maosong Xu, Ministry of Forestry (China)
Xiaofang Li, Beijing Jiaotong Univ. (China)
Zhongsheng Xia, Guizhou Forestry Dept. (China)

Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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