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논문검색

Vegetation Monitoring in Shendong Mining Area by Remote Sensing

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Study Area and Data
 3. Methods and Results
  3.1 Methods
  3.2 Results
 4. Conclusions
 Acknowledgements
 References

저자정보

  • Ying Liu College of Geomatics, Xi’an University of Science and Technology, Xi’an 710054, Shaanxi, China
  • Hui Yue College of Geomatics, Xi’an University of Science and Technology, Xi’an 710054, Shaanxi, China

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