DOI: 10.1016/j.jag.2014.03.009
Scopus记录号: 2-s2.0-84904461675
论文题名: Estimating ecological indicators of karst rocky desertification by linear spectral unmixing method
作者: Zhang X ; , Shang K ; , Cen Y ; , Shuai T ; , Sun Y
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 31, 期: 1 起始页码: 86
结束页码: 94
语种: 英语
英文关键词: Hyperspectral remote sensing
; Karst rocky desertification
; Linear spectral unmixing
; Spectral index
Scopus关键词: absorption
; abundance
; bedrock
; chlorophyll
; correlation
; desertification
; karst
; multispectral image
; remote sensing
; vegetation index
英文摘要: Coverage rates of vegetation and exposed bedrock are two key indicators of karst rocky desertification. Inthis study, the abundances of vegetation and exposed rock were retrieved from a hyperspectral Hyperionimage using linear spectral unmixing method. The results were verified using the spectral indices of karstrocky desertification (KRDSI) and an integrated LAI spectral index: modified chlorophyll absorption ratioindex (MCARI2). The abundances showed significant linear correlations with KRDSI and MCARI2. Thecoefficients of determination (R2) 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 acertain extent. Finally, the abundances of vegetation and bedrock were graded and integrated to evaluaterocky desertification in a typical karst region. This study suggests that spectral unmixing algorithm andhyperspectral remote sensing imagery can be used to monitor and evaluate karst rocky desertification. © 2014 The Authors. Published by Elsevier. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79801
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
Recommended Citation:
Zhang X,, Shang K,, Cen Y,et al. Estimating ecological indicators of karst rocky desertification by linear spectral unmixing method[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,31(1)