DOI: 10.1016/j.jag.2015.04.015
Scopus记录号: 2-s2.0-84943634994
论文题名: Detection of dryland degradation using Landsat spectral unmixing remote sensing with syndrome concept in Minqin County, China
作者: Sun D
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 41 起始页码: 34
结束页码: 45
语种: 英语
英文关键词: Change detection
; Dryland system
; Linear spectral mixture analysis
; Syndrome
; Western China
Scopus关键词: agricultural change
; arid region
; environmental change
; land degradation
; Landsat
; oasis
; remote sensing
; spatiotemporal analysis
; spectral analysis
; China
; Gansu
; Minqin
英文摘要: This study was to detect dryland degradation coupling linear spectral unmixing model of Landsat images with syndrome concept in temperate dryland system, Minqin, China. The phenological contrast and complementation between green vegetation fraction in summer, sandland fraction and saline land fraction in spring, was firstly structured to quantify degradation characteristics by simple correlation analysis with ground data. The spatiotemporal patterns of the three degradation indicators were interpreted with the help "dust bowl" syndrome, qualitatively deciphered the degradation causal clusters, loops and important consequences in the study area. The results indicate water-using and distribution pattern was changed, agricultural intensity and productivity increased, salinization lessened in oasis, whereas sandification risk heightened. This approach developed in this study, has the potentially broad applicability, for dryland system monitoring and modelling. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79539
Appears in Collections: 气候变化事实与影响
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作者单位: Land Resources and Management Department, College of Natural Resources and Environmental Sciences, China Agricultural University, Beijing, China
Recommended Citation:
Sun D. Detection of dryland degradation using Landsat spectral unmixing remote sensing with syndrome concept in Minqin County, China[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,41