• DocumentCode
    576703
  • Title

    Change detection method for pasture degradation using RGB color composite image of multitemporal Landsat TM - A case study of the Inner Mongolian settlement region

  • Author

    Suriga, Suriga ; Hashimoto, Miki ; Hoshino, Buho ; Saixialt ; Ganzorig, Sumiya

  • Author_Institution
    Grad. Sch. of Dairy Sci., Rakuno Gakuen Univ., Ebetsu, Japan
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6267
  • Lastpage
    6270
  • Abstract
    This study was performed at Abag banner in Inner Mongolia. Two Landsat TM data were acquired separately in 1989 and 2011 over the study area. Soil Adjusted Vegetation Index (SAVI) were derived from reflectance spectra, and applied to compare the green vegetation cover. The change detection result show that there is a large change in land cover, and most vegetation decreasing area was located overgrazing pasture area. During past 22-years, about 36.3% of the area was decreased in vegetation. Our result also indicated that vegetation cover change can be observed using satellite data. And the analysis of vegetation trends in land cover change using remote sensing change detection is a useful method to document the human impacts on ecosystems.
  • Keywords
    ecology; geophysical image processing; image colour analysis; spectral analysis; vegetation; vegetation mapping; AD 1989; AD 2011; Abag banner; Inner Mongolian settlement region; RGB color composite image; SAVI; change detection method; ecosystem; green vegetation cover; human impact; land cover change; multitemporal Landsat TM data; overgrazing pasture area; pasture degradation; reflectance spectra; remote sensing change detection; satellite data; soil adjusted vegetation index; vegetation cover change; vegetation decreasing area; vegetation trend analysis; Degradation; Earth; Educational institutions; Remote sensing; Satellites; Soil; Vegetation mapping; Inner Mongolia; Landsat data; pasture change detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352691
  • Filename
    6352691