Research Papers

Sub-canopy soil moisture inversion using repeat pass Shuttle Imaging Radar C polarimetric Synthetic Aperture Radar interferometric data

[+] Author Affiliations
Xinwu Li, Huadong Guo, Zhen Li

Chinese Academy of Sciences, Laboratory of Digital Earth Science, Center for Earth Observation and Digital Earth, P.O. Box 9718, 20A Datun Road, Chaoyang District, Beijing 100101 China

Huanyin Yue

National Remote Sensing Center of China, Ministry of Science and Technology, No.8A, Liulinguan Nanli, Haidian District, Beijing 100036 China

Quan Chen

Chinese Academy of Sciences, Laboratory of Digital Earth Sciences, Center for Earth Observation and Digital Earth, Chaoyang District, Beijing 100101 China

J. Appl. Remote Sens. 3(1), 033553 (October 7, 2009). doi:10.1117/1.3256001
History: Received January 28, 2009; Revised August 28, 2009; Accepted September 18, 2009; October 7, 2009; Online October 08, 2009
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Abstract

The advances in polarimetric synthetic aperture radar (SAR) interferometry techniques provide a promising way to extract sub-canopy surface parameters using processed SAR images. In this paper, we evaluate the fully maximum likelihood decomposition model of polarimetric SAR interferometry for sub-canopy soil moisture estimation. We further propose a methodology for sub-canopy soil estimation using repeat pass space-borne SIR-C (Shuttle Imaging Radar C) L-band polarimetric SAR interferometric data. The comparison of the inversion results with the field measurements and the climate data of Hotan region from 1951 to 2006 suggests good inversion potential of the proposed method.

© 2009 Society of Photo-Optical Instrumentation Engineers

Citation

Xinwu Li ; Huadong Guo ; Zhen Li ; Huanyin Yue and Quan Chen
"Sub-canopy soil moisture inversion using repeat pass Shuttle Imaging Radar C polarimetric Synthetic Aperture Radar interferometric data", J. Appl. Remote Sens. 3(1), 033553 (October 7, 2009). ; http://dx.doi.org/10.1117/1.3256001


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