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1 September 2017 Spatiotemporal variation vegetation cover and their relationship to climate in Yangtze River watershed area
Bowen Zhang, Linli Cui, Jun Shi, Peipei Wei, Maosi Chen
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Proceedings Volume 10405, Remote Sensing and Modeling of Ecosystems for Sustainability XIV; 1040510 (2017) https://doi.org/10.1117/12.2273167
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States
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.
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Bowen Zhang, Linli Cui, Jun Shi, Peipei Wei, and Maosi Chen "Spatiotemporal variation vegetation cover and their relationship to climate in Yangtze River watershed area", Proc. SPIE 10405, Remote Sensing and Modeling of Ecosystems for Sustainability XIV, 1040510 (1 September 2017); https://doi.org/10.1117/12.2273167
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KEYWORDS
Vegetation
Climate change
Composites
Meteorology
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