Paper
3 November 2010 Effects of emergent water project on vegetation coverage and its types in the lower reaches of Tarim River
Zhenglong Yan, Xiaoguo Wang, Qiang Huang, Fan Gao, Rongqin Wang, Rui Zhuo
Author Affiliations +
Proceedings Volume 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications; 784112 (2010) https://doi.org/10.1117/12.873244
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China
Abstract
Two factors of the vegetation coverage and its types sensible to the ecological changes before and after the Emergent Water Transportation Project are investigated and analyzed in a qualitative and quantitative way based on the TM in 1999, ETM+ in 2002, ASTER in 2004 and the background data of the lower reaches of Tarim River. The research indicates that: (1) The moderate and satisfactory coverage of vegetation evidently go up in area by 1.68×103 hm2, 9.09×103 hm2 respectively. The poor, lower vegetation coverage areas constantly fall into decline by 7.83×103 hm2, 9.99×103 hm2 on the average from 1999 to 2004 respectively, and some turn for worse is prevented and stopped in some area. (2) The farm land increases from 1.48×104 hm2 in area in 1999 to 1.51×104 hm2 in area in 2002, and then to 1.72×104 hm2 in area in 2004 with a yearly increasing ratio of 3.52%. (3) To be concluded, the emergent water supply plays an important role in promoting the ecological environment in the research region. But there is a long way to rejuvenate the whole Green Corridor and turn the extremely fragile ecological environment as a whole on a large scale.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhenglong Yan, Xiaoguo Wang, Qiang Huang, Fan Gao, Rongqin Wang, and Rui Zhuo "Effects of emergent water project on vegetation coverage and its types in the lower reaches of Tarim River", Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 784112 (3 November 2010); https://doi.org/10.1117/12.873244
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KEYWORDS
Vegetation

Databases

Remote sensing

Classification systems

Analytical research

Data modeling

Environmental monitoring

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