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Spatiotemporal variation vegetation cover and their relationship to climate in Yangtze River watershed area
Author(s): Bowen Zhang; Linli Cui; Jun Shi; Peipei Wei; Maosi Chen
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Paper Abstract

Based on the SPOT/ NDVI data and meteorological data of Jianghuai watershed area, the temporal and spatial variation characteristics of NDVI and their correlation with climate factors (temperature and precipitation) are analyzed from 1998 to 2013 by utilizing the maximum value composite and linear regression method. The results showed that the vegetation growth has changed year by year with an overall trend in Jianghuai watershed region, and the number of pixels in the growing area accounts for 85.8% of the total. From the space point of view, expect for some regions in Hefei, Chuzhou and Luan are obviously decreasing, most of the other regions showing a growth trend. Vegetation was not positively correlated with temperature and precipitation, and the correlation between NDVI and temperature was higher than that of precipitation. Due to the differences of topography, geography and human activities, the correlation in different regions is different. In addition, human activities are also the influencing factors of vegetation change.

Paper Details

Date Published: 1 September 2017
PDF: 7 pages
Proc. SPIE 10405, Remote Sensing and Modeling of Ecosystems for Sustainability XIV, 1040510 (1 September 2017); doi: 10.1117/12.2273167
Show Author Affiliations
Bowen Zhang, Shanghai Institute of Technology (China)
Shanghai Meteorological Bureau (China)
Linli Cui, Shanghai Meteorological Bureau (China)
Jun Shi, Shanghai Meteorological Bureau (China)
Peipei Wei, Shanghai Institute of Technology (China)
Shanghai Meteorological Bureau (China)
Maosi Chen, USDA UV-B Monitoring and Research Program (United States)


Published in SPIE Proceedings Vol. 10405:
Remote Sensing and Modeling of Ecosystems for Sustainability XIV
Wei Gao; Ni-Bin Chang; Jinnian Wang, Editor(s)

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