• DocumentCode
    2447894
  • Title

    Discussion on application of high resolution images in urban water demand management

  • Author

    Li, Lu ; Chen, Yuansheng ; Jiang, Lei ; Shen, Tian

  • Author_Institution
    Inst. of Geographic Sci. & Natural Resources Res., Grad. Univ. of CAS, Beijing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    2089
  • Lastpage
    2092
  • Abstract
    The application of remote sensing in urban water demand management is all along at blank stage in China. This paper introduced methods to estimate building height through high-resolution remote sensing images and examined the methods by an experiment of a residential area in Nanjing using IKNOS image, which proved that the shadow area method is more accurate than the shadow length method. On this basis, the paper focuses on discussing about the application prospect of high-resolution remote sensing images in urban water demand management. The high resolution images can be used for the quick estimation of water consumption inside buildings, the amount of grey water and reclaimed water that can be used in buildings, and the energy needed for supplying water for buildings. As a kind of supporting information, the estimated data would be helpful for the design of reclaimed water facilities, the site plan of water-intensity industries and the energy saving and emission reduction in urban water systems.
  • Keywords
    geophysical image processing; image resolution; remote sensing; water supply; China; IKNOS image; Nanjing; building height estimation; building water consumption; emission reduction; energy saving; high resolution remote sensing images; reclaimed water facilities; shadow length method; urban water demand management; urban water systems; Buildings; Cities and towns; Energy resolution; Image resolution; Remote sensing; Water resources; application; height of buildings; high resolution image; remote sensing; urban water demand management;
  • 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.2011.5964718
  • Filename
    5964718