, Volume 21, Issue 1, pp 135-149
Date: 13 Mar 2011

Analysis of vegetation response to rainfall with satellite images in Dongting Lake

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We analyzed the Normalized Difference Vegetation Index (NDVI) from satellite images and precipitation data from meteorological stations from 1998 to 2007 in the Dongting Lake wetland watershed to better understand the eco-hydrological effect of atmospheric precipitation and its relationship with vegetation. First, we analyzed its general spatio-temporal distribution using its mean, standard deviation and linear trend. Then, we used the Empirical Orthogonal Functions (EOF) method to decompose the NDVI and precipitation data into spatial and temporal modes. We selected four leading modes based on North and Scree test rules and analyzed the synchronous seasonal and inter-annual variability between the vegetation index and precipitation, distinguishing time-lagged correlations between EOF modes with the correlative degree analysis method. According to our detailed analyses, the vegetation index and precipitation exhibit a prominent correlation in spatial distribution and seasonal variation. At the 90% confidence level, the time lag is around 110 to 140 days, which matches well with the seasonal variation.

Foundation: National Natural Science Foundation of China, No.40701172; No.40671122; The International Program for Cooperation in Science and Technology, No.2007DFA20640; National Science and Technology Supporting Item, No.2008BAC34B01; The Beijing Municipal Science and Technology Plan, No.D08040600580801
Author: Jiang Weiguo (1976–), Ph.D, specialized in wetland ecology and flood remote sensing
Corresponding author: Hou Peng (1978–), Ph.D, specialized in environment remote sensing