Use of synthetic 3S technology for research on 11 years of ecosystem changes in the middle and lower region of Talimu River, Xinjiang, China

Zhili Liu; Jianwen Ma; Chen Xi; Yang Liao

doi:10.1117/12.538543

25 September 2003 Use of synthetic 3S technology for research on 11 years of ecosystem changes in the middle and lower region of Talimu River, Xinjiang, China

Zhili Liu, Jianwen Ma, Chen Xi, Yang Liao

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Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538543
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

This article introduces synthetically using RS, GIS and GPS (3S) technology to study ecosystem changes of Talimu river system within past 11 years. In this article, the data were analyzed by using GIS technology and the field sizes were investigated by using GPS instrument. A conclusion was concluded that in the past 11 years 1990 to 2000, in the region of the middle and lower reaches of Talimu river, the area of farmland had been increased 505,433km², the area of nature/planted vegetation had been reduced 943,089km², and the area of water body had been increased 80.477%. The area of desert in the middle and lower reaches of Tamilu river is increasing continually. The main reason is that the large number of nature vegetation was died, especially in the area of Huyang woods was declined. Finally, some suggestions were make to recover and father fragile ecosystem.

Citation Download Citation

Zhili Liu, Jianwen Ma, Chen Xi, and Yang Liao "Use of synthetic 3S technology for research on 11 years of ecosystem changes in the middle and lower region of Talimu River, Xinjiang, China", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538543

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KEYWORDS

Ecosystems

Vegetation

Geographic information systems

Global Positioning System

Remote sensing

Statistical analysis

Agriculture

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