Chen Yanli, Long Buju, Pan Xuebiao, et al. Grassland vegetation change based on MODIS NDVI data and climate information. J Appl Meteor Sci, 2010, 21(2): 229-236.
Citation: Chen Yanli, Long Buju, Pan Xuebiao, et al. Grassland vegetation change based on MODIS NDVI data and climate information. J Appl Meteor Sci, 2010, 21(2): 229-236.

Grassland Vegetation Change Based on MODIS NDVI Data and Climate Information

  • Received Date: 2009-06-23
  • Rev Recd Date: 2010-02-05
  • Publish Date: 2010-04-30
  • Monitoring vegetation change is an important aspect to study global climate chan ge. The Normalized Difference Vegetation Index (NDVI) is the most frequently us ed vegetation index to discuss environmental change. It's common to study vegetati on change using the NOAA Advanced Very High Resolution Radiometer (AVHRR) data which are available for more than 20 years, and the EOS Moderate Resolution Im aging Spectroradiometer (MODIS) data with improved quality are also widely used now. MODIS NDVI dataset during 2000—2005 in Xilingol are analyzed. Precipitation, vapor pressure, mean temperature, max temperature, min temperatur e, hours of sunshine are taken as climatic elements to explore the relationship between MODIS NDVI and climatic factors over different types of grassland. Due t o the narrow spectra bands of infrared and near infrared satellite sensors, MOD IS NDVI is sensitive for dynamically monitoring the four types of steppe: Meadow steppe, typical steppe, sandy steppe, desert steppe. As the water conditions of these four typical grassland vary widely, their spectral responses are also sig nificantly different. The vegetation increases on the whole in Xilingol during t he period of 2000 to 2005. Desert steppe decreases while typical steppe increase s for the research area. The global warming trend is obvious in Xilingol. Althou gh the rain doesn't increase much from 2000 to 2005, the grassland grows for t he meadow steppe and the typical steppe, promoted by the increasing temperature and better water conditions. For the sandy steppe and the desert steppe where wa ter conditions are poor, as the increasing temperature accelerates water evapora tion, the vegetation degradation occurs as a result of the worse environment. MODIS NDVI series exhibit obvious correlation with climatic factors. For typical steppe, max temperature is the most related factor with NDVI, and vapor pressur e is the second. For desert steppe, max temperature is the most related factor w ith NDVI, and min temperature is in the second place. Responses of MODIS NDVI to climatic factors lag in time obviously. The lag time for all climatic factors i s -1 stage for typical steppe, and for desert steppe, the lag time for both wate r and mean temperature climatic factors is -1 stage, while the lag time is incon sistent for max temperature and min temperature, which may be caused by the diff erences of soil texture and vegetation types.
  • Fig. 1  16 day schange of MODIS NDVI average values in four kinds of typical grassland in Xilingol

    Fig. 2  Classification image of vegetation change trend simulated during 2000-2005 in Xilingol

    Fig. 3  The relationship between completed NDVI series and vapor pressure, precipitation with different time at typical steppe and desert steppe

    Fig. 4  The relationship between completed NDVI series and mean temperature, max temperature, min temperature with different time at typical steppe and desert steppe

    Table  1  Location of meteorological stations in Xilingol and vegetation types with in their 10-km buffer areas

    Table  2  Classification of vegetation change trend image during 2000—2005 in Xilingol

    Table  3  Statistic of vegetation change trend in different grassland in Xilingol

    Table  4  Correlation analysis between completed NDVI series and climate variables during 2000—2005

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    • Received : 2009-06-23
    • Accepted : 2010-02-05
    • Published : 2010-04-30

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