Land cover transformation feature understanding by MODIS and response to climate in upper stream of Yellow River

Wei Ouyang, Andrew Skidmore, FangHua Hao, Chen Zhao, Huaping Yao, Xuan Zhang

Research output: Contribution to journalConference paper

2 Citations (Scopus)

Abstract

The vegetation quality in upper catchment of the Yellow River is critical for ecological stability in the whole watershed, which is also sensitive to climate change. The dominant land covers in this region are grassland and forest, which intensively affect water quality and quantity, soil erosion for whole watershed. With MODIS products on twelve dates in 2000, 2003, 2006, the normalized difference vegetation index (NDVI) for grassland and forest was calculated with the reference data and the daily vegetation NDVI variation regression models in three years were deduced. Then, three watershed annual climatic indicators (i.e. yearly accumulated precipitation, highest and lowest temperature) were averaged from nine weather stations. After that, the inter-annual grassland and forest NDVI variation principles with three indices were regressed. Except the lowest temperature, the yearly precipitation and highest temperature had strong correlation with two community vegetations NDVI. The correlation coefficients of four regression models ranged from 0.8690 to 0.9768. Furthermore, the NDVI responses to monthly precipitation, highest temperature and lowest temperature were analyzed. The vegetation NDVI and three climatic indices had strong positive correlations and the coefficient was larger than 0.7331. The monthly correlation also provides the threshold value of three climatic indictors, which is the starting point for vegetation growth. Consequently, the daily weather information may be used to predict regional vegetation NDVI. Meteorological indictor may simulate the regional grassland and forest NDVI simulated with climate change considerations, which is critical for vegetation quality assessment and regional environmental management.

Original languageEnglish
Pages (from-to)619-626
Number of pages8
JournalThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume37
Issue numberPart B8
Publication statusPublished - 2008
Externally publishedYes
Event21st International Congress for Photogrammetry and Remote Sensing, ISPRS 2008 - Beijing, China
Duration: 3 Jul 200811 Jul 2008

Keywords

  • Vegetation transformation
  • Correlation analysis
  • MODIS
  • Climatic variation
  • Yellow River

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