Estimating ecological indicators of karst rocky desertification by linear spectral unmixing method
作者:Zhang, X (Zhang, Xia)[ 1 ] ; Shang, K (Shang, Kun)[ 1,2 ] ; Cen, Y (Cen, Yi)[ 1 ] ; Shuai, T (Shuai, Tong)[ 1,2 ] ; Sun, YL (Sun, Yanli)[ 1,2 ]
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
卷: 31  页: 86-94
DOI: 10.1016/j.jag.2014.03.009
出版年: SEP 2014

摘要
Coverage rates of vegetation and exposed bedrock are two key indicators of karst rocky desertification. In this study, the abundances of vegetation and exposed rock were retrieved from a hyperspectral Hyperion image using linear spectral unmixing method. The results were verified using the spectral indices of karst rocky desertification (KRDSI) and an integrated LAI spectral index: modified chlorophyll absorption ratio index (MCARI2). The abundances showed significant linear correlations with KRDSI and MCARI2. The coefficients of determination (R-2) were 0.93, 0.66, and 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. Finally, the abundances of vegetation and bedrock were graded and integrated to evaluate rocky desertification in a typical karst region. This study suggests that spectral unmixing algorithm and hyperspectral remote sensing imagery can be used to monitor and evaluate karst rocky desertification. (C) 2014 The Authors. Published by Elsevier B.V.

通讯作者地址: Zhang, X (通讯作者)
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
地址:
[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[ 2 ] Univ Chinese Acad Sci, Beijing 100049, Peoples R China