• DocumentCode
    2322685
  • Title

    Landuse status investigation and analysis by multi-information technology for the development area

  • Author

    Shuying, Meng ; Long, Chen ; Peng, Zhao ; Dunfang, Zhang ; Yajuan, Wang

  • Author_Institution
    Shen Hua (Beijing) Remote Sensing & Geo-Eng. Co., Ltd., Beijing
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, QuickBird high resolution satellite image data, combined with the prior landuse maps, the landuse major planning map and other basic datum was adopted to extract landuse information of Nanchang Hi-Tech Industrial Development Area through the human-computer interaction approach, and the results were verified by plot in field to do meta-analysis. The results show that the multi-information method can objectively and accurately reflect the landuse types, structure and the degree of utilization in development area, and provide timely, accurate and detailed basic information for analysis of intensive landuse situation of national development area for the national macro-control.
  • Keywords
    feature extraction; geographic information systems; geophysics computing; human computer interaction; image classification; land use planning; Nanchang Hi-Tech Industrial Development Area; QuickBird high resolution satellite image data; human-computer interaction approach; land utilization degree; landuse information extraction; landuse planning map; landuse structure; landuse types; meta-analysis; multi-information method; Data mining; Electronics industry; Geographic Information Systems; Image analysis; Industrial economics; Information analysis; Lakes; Remote monitoring; Remote sensing; Roads; development area; landuse; multi-information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event, 2009 Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3460-2
  • Electronic_ISBN
    978-1-4244-3461-9
  • Type

    conf

  • DOI
    10.1109/URS.2009.5137712
  • Filename
    5137712