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

作     者：JIANG Weiguo HOU Peng ZHU Xiaohua CAO Guangzhen LIU Xiaoman CAO Ruyin JIANG Weiguo;HOU Peng;ZHU Xiaohua;CAO Guangzhen;LIU Xiaoman;CAO Ruyin

作者机构：State Key Laboratory of Earth Process and Resource Ecology Beijing Normal University Beijing 100875 China Academy of Disaster Reduction and Emergency Management Beijing Normal University Beijing100875 China Satellite Environment Center MEP Beijing 100094 China Institute of Geographic Sciences and Natural Resources Research CAS Beijing 100101 China Institute of Geographic Sciences and Natural Resources Research CAS Beijing 100101 China Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites China Meteorological Administration Beijing 100081 China 

出 版 物：《Journal of Geographical Sciences》 (地理学报（英文版）)

年 卷 期：2011年第21卷第1期

页      面：135-149页

核心收录：

学科分类：0709[理学-地质学] 07[理学] 070601[理学-气象学] 09[农学] 0903[农学-农业资源与环境] 0706[理学-大气科学] 0704[理学-天文学] 0713[理学-生态学] 

基　　金：Foundation: National Natural Science Foundation of China, No.40701172 No.40671122 The International Program for Cooperation in Science and Technology, No.2007DFA20040 National Science and Technology Supporting Item, No.2008BAC34B01 The Beijing Municipal Science and Technology Plan, No.D08040600580801 

主　　题：eco-hydrology precipitation vegetation remote sensing wetland Dongting Lake 

摘      要：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.