Forest parameters estimation using polarimetric SAR data

Kun Li; Yun Shao; Fengli Zhang; Maosong Xu; Xiaofang Li; Zhongsheng Xia

doi:10.1117/12.832878

30 October 2009 Forest parameters estimation using polarimetric SAR data

Kun Li, Yun Shao, Fengli Zhang, Maosong Xu, Xiaofang Li, Zhongsheng Xia

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 749857 (2009) https://doi.org/10.1117/12.832878
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Kun Li, Yun Shao, Fengli Zhang, Maosong Xu, Xiaofang Li, and Zhongsheng Xia "Forest parameters estimation using polarimetric SAR data", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749857 (30 October 2009); https://doi.org/10.1117/12.832878

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KEYWORDS

Backscatter

Polarization

Clouds

Data modeling

Synthetic aperture radar

Remote sensing

Radar

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