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《Remote Sensing Technology and Application》 2012-01
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Correlation Analysis between NDVI and Climate in Northeast China based on AVHRR and GIMMS Data Sources

Mao Dehua1,2,Wang Zongming1,Luo Ling1,Yang Guang3(1.Northeast Institute of Geography and Agro-Ecology,Chinese Academy of Sciences,Changchun 130012,China;2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China; 3.The Special Profession Department,Aviation University of Air Force,Changchun 130022,China)  
Based on the AVHRR GIMMS NDVI and MODIS NDVI,this paper constructed yearly maximum NDVI sequence covering Northeast China from 1982 to 2009 using per-pixel unary Linear Regression Model.The constructed NDVI through the consistency check and well be used in the temporal analysis and correlation analysis with climatic factors.Results showed that there were three change stages in the past 28 years:A modest increase trend during 1982~1992,slow decrease trend during 1982~2006 and a recovery during 2006~2009.Result from variation analysis on spatial pattern showed that obvious changes occurred mainly in Inner Mongolia Automomous Region(IMAR) arid and semi-arid zone.Mean NDVI value in 2000s and 1990s were bigger than 1980s.Change value ranged from-0.3 to 0.3 and increase trend were mainly found in Chifeng and west of Songnen plain which have a proportion about 6.45% in total area.A high spatial heterogeneity was observed in the correlation between yearly maximum NDVI and climate(temperature and precipitation).Pixels which had a bigger coefficient of partial correlation between NDVI and temperature than between NDVI and precipitation account for 54% of all pixels.At whole scale,temperature was the dominate influence factor compared with precipitation.For different vegetation types,the yearly maximum NDVI was affected by annual average temperature as follows:forestsgrasslandsmarshesshrubscrops;and by precipitation:grasslandscropsshrubsmarshesforests.
【Fund】: 国家自然科学基金项目(40930527、40871187);; 中国科学院知识创新工程重要方向项目(KZCX2-YW-341);; 国家973计划项目(2009CB421103)资助
【CateGory Index】: Q948;TP79
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