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Proceedings Paper

Estimate ecological indicators of karst rocky desertification by spectral unmixing algorithm
Author(s): Xia Zhang; Tong Shuai; Banghui Yang; Zhi Zhuang
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Paper Abstract

Coverage rates of vegetation and exposed bedrock are two key indicators of karst rocky desertification (KRD) envionmnents. Based on spectral unmixing algorithm, abundance of vegetation and exposed rock were retrieved from the hyperspectral Hyperion image. They were verified by the spectral indices of Karst rocky desertification (SIRD) and vegetation chlorophyll index. It showed that the abundance had significant linear correlation with SIRD. The determinate coefficients (R2) were 0.93,0.66, 0.84 for vegetation, soil and rock respectively, indicating that the abundances of vegetation and bedrock can characterize their coverage rates to a certain extent. Then, the abundances of vegetation and bedrock were graded and integrated together to evaluate the rocky desertification in typical Karst region. This study implies that spectral unmixing algorithm based on hyperspectral remote sensing image will have potential use in monitoring and evaluating KRD.

Paper Details

Date Published: 24 October 2013
PDF: 10 pages
Proc. SPIE 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV, 889313 (24 October 2013); doi: 10.1117/12.2028077
Show Author Affiliations
Xia Zhang, Institute of Remote Sensing and Digital Earth (China)
Tong Shuai, Institute of Remote Sensing and Digital Earth (China)
Univ. of the Chinese Academy of Sciences (China)
Banghui Yang, Institute of Remote Sensing and Digital Earth (China)
Zhi Zhuang, Institute of Remote Sensing and Digital Earth (China)
Univ. of the Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 8893:
Earth Resources and Environmental Remote Sensing/GIS Applications IV
Ulrich Michel; Daniel L. Civco; Karsten Schulz; Manfred Ehlers; Konstantinos G. Nikolakopoulos, Editor(s)

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