Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River

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• 作者：Fanghua Hao (1)
  Xuan Zhang (1)
  Wei Ouyang (1) wei@itc.nl
  Andrew K. Skidmore (2)
  A. G. Toxopeus (2)
• 关键词：Vegetation dynamics – ; Correlation analysis – ; MODIS – ; Climatic feature – ; Yellow River
• 刊名：Environmental Modeling and Assessment
• 出版年：2012
• 出版时间：August 2012
• 年：2012
• 卷：17
• 期：4
• 页码：389-398
• 全文大小：727.1 KB
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• 作者单位：1. School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875 China2. Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Hengelosestraat 99, P.O. Box 6, Enschede, 7500 AA The Netherlands
• ISSN：1573-2967

文摘

Vegetation in the upper catchment of Yellow River is critical for the ecological stability of the whole watershed. The dominant vegetation cover types in this region are grassland and forest, which can strongly influence the eco-environmental status of the whole watershed. The normalized difference vegetation index (NDVI) for grassland and forest has been calculated and its daily correlation models were deduced by Moderate Resolution Imaging Spectroradiometer products on 12 dates in 2000, 2003, and 2006. The responses of the NDVI values with the inter-annual grassland and forest to three climatic indices (i.e., yearly precipitation and highest and lowest temperature) were analyzed showing that, except for the lowest temperature, the yearly precipitation and highest temperature had close correlations with the NDVI values of the two vegetation communities. The value of correlation coefficients ranged from 0.815 to 0.951 (p < 0.01). Furthermore, the interactions of NDVI values of vegetation with the climatic indicators at monthly interval were analyzed. The NDVI of vegetation and three climatic indices had strong positive correlations (larger than 0.733, p < 0.01). The monthly correlations also provided the threshold values for the three climatic indictors, to be used for simulating vegetation growth grassland under different climate features, which is essential for the assessment of the vegetation growth and for regional environmental management.