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Proceedings Paper

Evaluating the potential of ENVISAT/ASAR data in monitoring the Poyang Lake wetland
Author(s): H. Sang; Y. Liu; L. Yang; H. Lin; C. Tang
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Paper Abstract

In order to evaluate the potential of ENVISAT/ASAR (ENVIronment SATellite /Advanced Synthetic Aperture Radar) imagery with multi-incidence angle and multi-polarization for Poyang lake wetland study, a microwave canopy backscatter model for herbaceous vegetation was used to simulate the ASAR backscatter from wetland vegetation at two different growing status. Field measurements from areas covered with Miscanthus floridulus acquired in middle April and in May, 2005 were averaged respectively as model inputs to simulate ASAR backscatter from different vegetation components with seven incidence angles (15° to 45°). In April, 2005, Miscanthus floridulus still has not spread adequately, HV polarization is more sensitive to vegetation canopy parameters than HH and VV; HH is more suitable for retrieving surface moisture content and roughness; and VV cannot differentiate the influence of vegetation from surface effects. Inundation results in significant increment in HV backscatter; for HH, it depends on vegetation growing status, for instance, a reduction in areas of low vegetation and an increase in areas of high vegetation; for VV polarization, enhancement in total backscatter is insufficient to be used in flood detection. However, as the height of Miscanthus floridulus is more than 1 meter in late May, the simulated ASAR backscatter is not sensitive to the variations of vegetation parameters, surface parameters, or even inundation.

Paper Details

Date Published: 28 October 2006
PDF: 12 pages
Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 64190I (28 October 2006); doi: 10.1117/12.712741
Show Author Affiliations
H. Sang, The Chinese Univ. of Hong Kong (Hong Kong China)
Y. Liu, Jiangxi Normal Univ. (China)
L. Yang, The Chinese Univ. of Hong Kong (Hong Kong China)
H. Lin, The Chinese Univ. of Hong Kong (Hong Kong China)
C. Tang, Jiangxi Normal Univ. (China)

Published in SPIE Proceedings Vol. 6419:
Geoinformatics 2006: Remotely Sensed Data and Information
Liangpei Zhang; Xiaoling Chen, Editor(s)

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