• DocumentCode
    2451548
  • Title

    Visual interpretation´s applying on the construction of urban and rural green database based on SPOT5 image: A case study in Haidian District in Beiing

  • Author

    Liu, Wenping ; Xiao, He ; Li, Liangtao ; Yu, Zhenrong

  • Author_Institution
    Coll. of Resources & Environ. Sci., China Agric. Univ., Beijing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    2810
  • Lastpage
    2813
  • Abstract
    The investigation of urban and rural green space is the basic premise for construction of green space system planning. However, traditional investigation method that based on artificial survey primarily has many problems, such as too much workload, long time-consuming. Here, we take Haidian District in Beijing as an example, classifying urban and rural green space, establishing visual interpreting marks based on SPOT5 full-color image, interpreting green space according to the visual interpreting marks, and verifying and filling data when survey in field. At last, we complete basic data collection for database construction of urban and rural green space in Haidian District. This research will provide an important reference for further urban and rural green space investigation.
  • Keywords
    geophysical image processing; image classification; image colour analysis; remote sensing; town and country planning; visual databases; Beiing; Haidian District; SPOT5 full-color image; database construction; green space system planning; remote sensing image; rural green database; urban green database; visual interpretation; visual interpreting marks; Cities and towns; Geographic Information Systems; Green products; Remote sensing; Spatial resolution; Vegetation mapping; Visualization; Green space; Interpreting marks; Remote sensing image; Visual interpreting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5964898
  • Filename
    5964898