| 洞庭湖植被对降水的响应 |
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| 引用本文： | 蒋卫国,侯鹏,朱晓华,曹广真,刘小曼,曹入尹.洞庭湖植被对降水的响应[J].地理学报(英文版),2011,21(1):135-149. |
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| 作者姓名： | 蒋卫国 侯鹏 朱晓华 曹广真 刘小曼 曹入尹 |
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| 作者单位： | State Key Laboratory of Earth Process and Resource Ecology,Beijing Normal University;Academy of Disaster Reduction and Emergency Management,Beijing Normal University;Satellite Environment Center,MEP;Institute of Geographic Sciences and Natural Resources Research,CAS;Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,China Meteorological Administration |
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| 基金项目： | 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 |
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| 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.
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| 关 键 词： | eco-hydrology precipitation vegetation remote sensing wetland Dongting Lake |
| 收稿时间： | 24 June 2004 |
Analysis of vegetation response to rainfall with satellite images in Dongting Lake |
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| Weiguo?Jiang,Peng?Hou,Xiaohua?Zhu,Guangzhen?Cao,Xiaoman?Liu,Ruyin?Cao.Analysis of vegetation response to rainfall with satellite images in Dongting Lake[J].Journal of Geographical Sciences,2011,21(1):135-149. |
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| Authors: | Weiguo Jiang Peng Hou Xiaohua Zhu Guangzhen Cao Xiaoman Liu Ruyin Cao |
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| Institution: | (1) Forestry and Ecology Division, National Remote Sensing Agency (Department of Space—Government of India), India;(2) Department of Mathematics and Computer Science, Valdosta State University, USA;(3) Present address: 201 Thorne Hall, Ohio Agricultural Research and Development Center (OARDC), 1680 Madison Avenue, Wooster, Ohio 44691-4096, USA |
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| Abstract: | 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. |
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| Keywords: | eco-hydrology precipitation vegetation remote sensing wetland Dongting Lake |
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