• DocumentCode
    532635
  • Title

    Data analysis of elevation standard deviation classifying geomorphological types

  • Author

    Sui Gang ; Hao Bingyuan ; Feng Guorui ; Sun Beilei

  • Author_Institution
    Coll. of Min. Eng., Taiyuan Univ. of Technol., Taiyuan, China
  • Volume
    15
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Relief degree of land surface is an important factor for representing the characteristics of landform. Up to now, unified methods and standards about classifying relief degree of land surface have not been established. The standard deviation of elevation values were calculated from the 1:50000 scales DEM data over Yangqu county of Taiyuan city, which are then used to describe the relief degree of land surface. Using this method of increasing gird window progressively in ArcMap software, elevation standard deviation values are computed. Data analysis show that 1km × 1km statistic unit is better size to make elevation standard deviation classes which are highly consistent with the land use status map which is interpreted from Landsat 7 ETM+ data.
  • Keywords
    data analysis; geographic information systems; ArcMap software; DEM data; Landsat 7 ETM+ data; Taiyuan city; Yangqu county; data analysis; elevation standard deviation; geomorphological types; land surface relief degree; land use status map; landform; Software; DEM; Neighborhood statistics; Relief degree of land surface; Standard deviation; Statistic uni;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5622103
  • Filename
    5622103