Abstract
Using 2000-2011 MODIS and 1998-2008 SPOT-4/5 satellites NDVI data, with maximum value composites (MVCs) method and linear regression analysis, the dynamic vegetation monitoring change in 1999-2011 of the vegetation coverage in Shendong coal mining area was analyzed. It is revealed that the NDVI in Shendong increases integrally, and the land vegetation coverage in most of the mining area is improved. The vegetation coverage overall showed an upward trend in using simple linear regression analysis, NDVI from MODIS and SPOT data was analyzed both inter-annual and intra-annual change. The spatial pattern of using NDVI calculated that the increase rate of NDVI average of SPOT and MODIS was 9.90%/10a. Temperature, air pressure, rainfall, solar radiation and other meteorological indicators have similar phenological seasonal variations with vegetation coverage. Moreover, NDVI has an obvious correlation with meteorological factors, such as temperature, rainfall, air pressure.
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More From: International Journal of Signal Processing, Image Processing and Pattern Recognition
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