• DocumentCode
    2713536
  • Title

    Land use spatial pattern characteristics along the terrain gradient in Yellow River Basin in west Henan province, China

  • Author

    Shen, Huaifei

  • Author_Institution
    Coll. of Urban & Environ., Xuchang Univ., Xuchang, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The spatial pattern of land use/cover was quantitative analyzed by using DEM data. The results show that: (1) the spatial distribution rule of land use/cover with the change of elevation and slope has notable characteristic. The agricultural land, construction land, orchard, water and wetland in strongly human-disturbed land use types mainly distribute in lower altitude region and smaller gradient section. The forest, grass and unused land in slightly human-disturbed land use types are dispersed in higher altitude region and bigger gradient section equably, (2) the spatial distribution of land use within slope classes also has some rules. The proportion of agricultural land and forest land is too large because of which is dominant in the position of controlling at small slope section. In contrast, the forest land is dominant at big slope section, and increase of its proportion has been accompanied by the successive increasing of altitudinal and slope.
  • Keywords
    data analysis; rivers; terrain mapping; vegetation mapping; China; DEM data analysis; West Henan Province; Yellow River basin; agricultural land; construction land; forest land; human-disturbed land use distribution; land cover; land use spatial pattern characteristics; orchard land; spatial distribution; spatial land use distribution; terrain gradient analysis; wetland; Agriculture; Belts; Humans; Rivers; Sea level; Software; Surfaces; Yellow River Basin; land use; spatial pattern; terrain gradient;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5981122
  • Filename
    5981122