• DocumentCode
    513515
  • Title

    Remote sensing monitoring for vegetation change in mining area based on SPOT-VGT NDVI

  • Author

    Ma Baodong ; Wu Lixin ; Liu Shanjun

  • Author_Institution
    Inst. for Geoinformatics & Digital Mine Res., Northeastern Univ., Shenyang, China
  • Volume
    3
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    The environment and vegetation cover in mining area are influenced by the exploitation and utilization of mineral resources. It needs dynamic monitoring and estimation by the help of satellite remote sensing technology. Taking SPOT-VGT NDVI as information source and considering the characteristics of mining areas in China, this paper researched how to monitor the vegetation variation and desertification in mining area. The method includes the composition of time series data, the vegetation variation analysis and the gradation of desertification land. Concretely, the variation of NDVI is divided into 7 levels according to the slope of the fitted line by using NDVI time series data. Besides, the desertification land is divided into 5 levels according to the vegetation coverage, which is transformed from NDVI. The presented method was validated in Ningdong coal mining area, northwest China, and the results showed that the method is valid and effective.
  • Keywords
    mining; time series; vegetation mapping; NDVI time series data; Ningdong coal mining area; SPOT-VGT NDVI; mineral resources; mining area desertification; mining area environment; mining area vegetation cover; northwest China; satellite remote sensing technology; vegetation change remote sensing monitoring; Charge-coupled image sensors; Disaster management; Environmental factors; Environmental management; Land surface; Protection; Remote monitoring; Satellites; Sensor phenomena and characterization; Vegetation mapping; SPOT-VGT NDVI; digital mine; dynamic monitoring; environment in mining area; vegetation coverage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5418288
  • Filename
    5418288