DocumentCode
532405
Title
Vegetation change monitoring and analysis in the Kumtag desert research area
Author
Zhang, Huai-Qing ; Ling Cheng-xing
Author_Institution
Inst. of Forest Resource Inf. Tech., Chinese Acad. of Forestry, Beijing, China
Volume
3
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Based on the study on the vegetation index reflecting vegetation cover as well as the normalized difference vegetation index (NDVI) and the dimidiate pixel model, a remote sensing quantitative model for the vegetation cover in the Kumtag desert research area was built, and the data reflecting the variation in the vegetation cover in the Kumtag desert research area in the four periods (1975, 1990, 2000 and 2007) covering the past thirty-two years were acquired. The results showed that the vegetation cover area in the Kumtag desert research area has kept increasing from 1975 to 2007, specifically, the area rose from 4,182.92km2 in 1997 to 4,385.64km2 in 2007. The spatial distribution characteristics of the vegetation cover in the Kumtag desert research area indicated that the natural and environmental conditions, artificial influence factors and the ecological change and adaptive faculty of plant communities have great influence on the regional distribution of vegetation.
Keywords
data analysis; ecology; geophysics computing; remote sensing; statistical analysis; vegetation; Kumtag desert research area; artificial influence factor; dimidiate pixel model; ecological change; environmental condition; natural condition; normalized difference vegetation index; plant community; regional vegetation distribution; remote sensing quantitative model; spatial distribution characteristics; vegetation change analysis; vegetation change monitoring; vegetation cover area; Neodymium; Vegetation; Vegetation mapping; Kumtag desert; dynamic change; remote sensing; vegetation cover;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5620478
Filename
5620478
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