• DocumentCode
    2137197
  • Title

    Application of RS in the Yellow River Basin in Inner Mongolia soil erosion survey

  • Author

    Li, Zhongfeng ; Li, Xuemei

  • Author_Institution
    Eng. Res. Inst., Chinese Acad. of Sci., Lanzhou, China
  • Volume
    6
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    3615
  • Abstract
    Soil erosion is the major bind degradation process in arid and semi-arid regions. In order to prevent further deterioration of soil erosion and agriculture development in a sustainable way, up-to-date and reliable information on the nature, extent, magnitude and spatial distribution of these soils is of paramount importance. This study was carried out to extract such information using Landsat TM data. Satellite remote sensing has become one of the important tools to survey soil erosion. Taking the Yellow River basin in Inner Mongolia as an example, depending on remote sensing images and other data, utilizing GIS software contained ARC/INFO and RS software ERDAS, after disposition, transition of pattern and query, interpretation, the study achieve the soil erosion data of the area. The result shows that in Yellow river basin in Inner Mongolia the water and wind erosion are serious. Contrasting with the data of 1990 year This work analyzed the variation of soil erosion. During the ten years the erosion area declined. However, both soil erosion control and destruction exist currently. Soil erosion concentrates in hilly and gully area and shifting sand area. These areas are priority research areas for water and soil conservation. Constructing protective-forest and returning land from farming to forest and grass are the key measures to prevent soil erosion.
  • Keywords
    agriculture; erosion; forestry; geographic information systems; geomorphology; soil; terrain mapping; vegetation mapping; ARC/INFO; ERDAS; GIS software; Inner Mongolia; Landsat TM data; Yellow River Basin; agriculture development; arid regions; farming; forest; geographic information system; grass; protective-forest; remote sensing images; satellite remote sensing; semiarid regions; shifting sand; soil conservation; soil erosion data; soil erosion prevention; soil erosion survey; soil erosion variation; spatial distribution; water conservation; Agriculture; Data mining; Degradation; Geographic Information Systems; Protection; Remote sensing; Rivers; Satellites; Soil; Water conservation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1369900
  • Filename
    1369900