首页 | 本学科首页   官方微博 | 高级检索  
     

洞庭湖植被对降水的响应
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].Canadian Metallurgical Quarterly,2011,21(1).
作者姓名:蒋卫国  侯鹏  朱晓华  曹广真  刘小曼  曹入尹
基金项目:National Natural Science Foundation of China,The International Program for Cooperation in Science and Technology,National Science and Technology Supporting Item,The Beijing Municipal Science and Technology Plan
摘    要:


Analysis of vegetation response to rainfall with satellite images in Dongting Lake
JIANG Weiguo,HOU Peng,ZHU Xiaohua,CAO Guangzhen,LIU Xiaoman,CAO Ruyin.Analysis of vegetation response to rainfall with satellite images in Dongting Lake[J].Canadian Metallurgical Quarterly,2011,21(1).
Authors:JIANG Weiguo  HOU Peng  ZHU Xiaohua  CAO Guangzhen  LIU Xiaoman  CAO Ruyin
Affiliation:1. 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, Beijing 100875, China
2. State Key Laboratory of Earth Process and Resource Ecology, Beijing Normal University, Beijing 100875, China; Satellite Environment Center, MEP, Beijing 100094
3. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
4. Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,China Meteorological Administration,Beijing 100081,China
5. Satellite Environment Center, MEP, Beijing 100094 China;Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
6. State Key Laboratory of Earth Process and Resource Ecology, Beijing Normal University, Beijing 100875, China
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 NDVl 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.
Keywords:eco-hydrology  precipitation  vegetation  remote sensing  wetland  Dongting Lake
本文献已被 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号