Share Email Print
cover

Journal of Applied Remote Sensing

Sub-canopy soil moisture inversion using repeat pass Shuttle Imaging Radar C polarimetric Synthetic Aperture Radar interferometric data
Author(s): Xinwu Li; Huadong Guo; Zhen Li; Huanyin Yue; Quan Chen
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 1 October 2009
PDF: 13 pages
J. Appl. Remote Sens. 3(1) 033553 doi: 10.1117/1.3256001
Published in: Journal of Applied Remote Sensing Volume 3, Issue 1
Show Author Affiliations
Xinwu Li, Ctr. for Earth Observation and Digital Earth (China)
Huadong Guo, Ctr. for Earth Observation and Digital Earth (China)
Zhen Li, Ctr. for Earth Observation and Digital Earth (China)
Huanyin Yue, Ministry of Science and Technology of the PRC (China)
Quan Chen, Ctr. for Earth Observation and Digital Earth (China)


© SPIE. Terms of Use
Back to Top