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Landscape dynamitic change in Mu Us Desert derived from Landsat TM data
Authors:Guan Yan-ning  Guo Shan  Xue Yong  Li Rui  Yang Qin-ke
Institution:1. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China
2. Institute of Soil and Water Conservation, Chinese Academy of Sciences, Xi'an Yangling 712100, China
Abstract:Landscape ecology emphasizes large areas and ecological effects of the spatial patterning of ecosystem. Recent developments in landscape ecology have emphasized the important relationship between spatial patterns and many ecological processes. Quantitative methods in landscape ecology link spatial patterns and ecological processes at broad spatial and temporal scales. In turn the increased attention on temporal change of ecosystem has highlighted the need for quantitative methods that can analyze patterns. This research applies quantitative methods--change detection to assess the ecosystem temporal change in the arid and semiarid area. Remote sensing offers the temporal change of ecosystem on landscape characteristics.
Keywords:landscape ecology  ecosystem change  change detection  remote sensing
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