KEYWORDS: Principal component analysis, Remote sensing, Data modeling, Geographic information systems, Image processing, Data conversion, Integrated modeling, Data processing, Ecosystems, Resistance
In order to evaluate quantitatively the landscape stability of arid areas, a study area was selected in Yuli county of the
middle and lower reaches of Tarim river. Remote sensing image data are the main data sources, the image data are
processed by the support of RS and GIS technology. The study extracted 11 indices of landscape stability by
FRAGSTATS software, and the standard matrix of these indices data are got using Z-Score method, then the
comprehensive evaluation model of landscape stability is constructed by principal component analysis method. The
study results showed that the range of comprehensive evaluation scores of Yuli's ecological landscape stability is 1.736,
which indicated there is a great variation in ecological landscape stability of study area. The stability declines as the
following order: forest land - water area- grass land- cultivated land - buildup land -unused land. The landscape stability
is always the key scientific issues which should be solved urgently, the study on landscape stability has important
theoretical and practical significance.
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