• DocumentCode
    2585950
  • Title

    Spatial distribution and driving mechanism of land degradation in Xinjiang based on RS and spatial regression model

  • Author

    Jiang, Wang Chang ; Qian, Wang ; Xiaobin, Jin

  • Author_Institution
    Land Arrangements Center, Land Resource Bur., Beijing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    28-31 Aug. 2010
  • Firstpage
    246
  • Lastpage
    249
  • Abstract
    Land degradation is an important environmental problem, it will become a threat to food security and the sustainable development of socio-economic systems, ultimately affecting the development of humans with global warming. Xinjiang is a key region in China, in which land degradation is very serious. Combed RS with GIS technology, based on the latest remote sensing data, analyzed the spatial distribution pattern of land degradation in the provincial region of 85 counties in Xingjiang, applied spatial regression model to analyze the relationships between land degradation and influencing factors, formulated the main influencing factors. Land degradation in Xinjiang is from north to south and west to east, with a gradually increasing trend. Severe land degradation is found mainly in the Xinjiang region in the eastern. the main factors of land degradation are vegetation coverage, annual average rainfall, and land reclamation rate with regression coefficients of 381.967, -512.008 and -865.043, respectively.
  • Keywords
    food safety; geographic information systems; global warming; regression analysis; remote sensing; sustainable development; vegetation mapping; China; GIS technology; Xinjiang region; annual average rainfall; food security; global warming; influencing factors; land degradation; land reclamation rate; provincial region; regression coefficients; remote sensing data; socioeconomic systems; spatial distribution pattern; spatial regression model; sustainable development; vegetation coverage; Biological system modeling; Degradation; Indexes; Mathematical model; Remote sensing; Soil; Water resources; RS; land degradation; spatial pattern; spatial regression model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-8514-7
  • Type

    conf

  • DOI
    10.1109/IITA-GRS.2010.5602988
  • Filename
    5602988