DocumentCode :
496244
Title :
Yunnan Province Vegetation Dynamics Using GIMMS NDVI from 1982~2003
Author :
Miao, Chiyuan ; Xiao, Fei ; Wang, Yafeng
Author_Institution :
Dept. of Environ. Eng., Peking Univ., Beijing, China
Volume :
1
fYear :
2009
fDate :
24-26 April 2009
Firstpage :
58
Lastpage :
62
Abstract :
In order to research the vegetation cover variation in Yunnan province, the Normalized Difference Vegetation Index (NDVI) is utilized to demonstrate the spatio-temporal distribution of vegetation cover. After applying the international universal Maximum Value Composites (MVC) technique for further increasing accuracy, every grid value of GIMMS NDVI is calculated and then compared in spatio-temporal scale. The results show: (1) the vegetation cover in Yunnan province is high generally, and the annual mean vegetation cover can be divided three period; (2) All the inter-season variation of vegetation showed obvious fluctuation, and the change characteristics in summer is closed with inter-annual variation; (3)The vegetation cover in southeast of Yunnan is relatively high, and northwest appeared low value; (4) The spatial characteristics of vegetation cover in summer is similar with annual mean distribution most. So the GIMMS NDVI provides a good tool to study the distribution of vegetation cover generally.
Keywords :
atmospheric precipitation; atmospheric temperature; climatology; vegetation; AD 1982 to 2003; China; GIMMS; Global Inventory Modeling and Mapping Studies; LAI; MVC technique; NDVI; Normalized Difference Vegetation Index; Yunnan Province; atmospheric precipitation; atmospheric temperature; climate change; inter-annual variation; inter-season variation; leaf area index; maximum value composites; vegetation cover; Distributed computing; Earth; Fluctuations; Infrared sensors; Large-scale systems; Reflectivity; Rivers; Spatiotemporal phenomena; Technology management; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
Type :
conf
DOI :
10.1109/CSO.2009.486
Filename :
5193642
Link To Document :
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