• DocumentCode
    411221
  • Title

    An approach to extract oasis´s corridor information in arid region from Landsat ETM images - a case of Gaotai Oasis, China

  • Author

    Ma, M. ; Jin, R. ; Wang, X.

  • Author_Institution
    Cold & Arid Regions Environ. & Eng. Res. Inst., Acad. of Sci., Lanzhou, China
  • Volume
    6
  • fYear
    2003
  • fDate
    21-25 July 2003
  • Firstpage
    3682
  • Abstract
    The study area is Gaotai Oasis located in the middle of Heihe River Basin, China. The data are from band 8 of Landsat ETM+ images with a resolution of 15 m. The edge enhancement and unsupervised classification are used to extract corridor information. To estimate the extraction precision, four validation regions are selected for collecting 269 sampling points using Global Position System (GPS). The results show that the remote sensing method can obtain much more detailed corridor information than the method of digitizing from the topographic maps. The average extraction precision can reach 92.6%. Lastly, some problems under settlement are discussed such as extraction of different types of corridor information, the transverse corridor information and newly developed oasis corridor information.
  • Keywords
    Global Positioning System; geographic information systems; hydrology; image classification; image resolution; terrain mapping; China; Gaotai Oasis; Global Position System; Heihe River Basin; Landsat ETM images; digitizing method; edge enhancement; extract corridor information; extraction precision; image resolution; oasis corridor information; remote sensing method; sampling points; topographic maps; transverse corridor information; unsupervised classification; Computer aided software engineering; Data mining; Filtering; Global Positioning System; Information analysis; Remote sensing; Rivers; Roads; Satellites; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1295236
  • Filename
    1295236