Arid
DOI10.1117/12.2028077
Estimate ecological indicators of karst rocky desertification by spectral unmixing algorithm
Zhang, Xia; Shuai, Tong; Yang, Banghui; Zhuang, Zhi
通讯作者Zhang, Xia
会议名称Conference on Earth Resources and Environmental Remote Sensing/GIS Applications IV
会议日期SEP 23-25, 2013
会议地点Dresden, GERMANY
英文摘要

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 (R-2) 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.


英文关键词hyperspectral remote sensing spectral unmixing algorithm spectral index Karst rocky desertification
来源出版物EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS IV
ISSN0277-786X
EISSN1996-756X
出版年2013
卷号8893
EISBN978-0-8194-9763-5
出版者SPIE-INT SOC OPTICAL ENGINEERING
类型Proceedings Paper
语种英语
国家Peoples R China
收录类别CPCI-S
WOS记录号WOS:000327619300029
WOS类目Geosciences, Multidisciplinary ; Remote Sensing ; Optics
WOS研究方向Geology ; Remote Sensing ; Optics
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/301989
作者单位Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Xia,Shuai, Tong,Yang, Banghui,et al. Estimate ecological indicators of karst rocky desertification by spectral unmixing algorithm[C]:SPIE-INT SOC OPTICAL ENGINEERING,2013.
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