• DocumentCode
    2319475
  • Title

    The urban residential construction heating-loss monitoring research based on ASTER

  • Author

    Cai, Wenting ; Yu, Jing

  • Author_Institution
    Adm. Centre of Urban-Rural Planning, Beijing, China
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Energy-saving is an important policy meeting with current energy shortage and environmental problems. Heating is the main energy consumption in Chinese northern areas. Taken typical northern city Shenyang City for example, this study applies the technology of remote sensing on urban residential construction heating-loss monitoring. The thermal infrared (TIR) data-ASTER, as main data source, is used to retrieve the urban land surface temperature based on the improved split-window algorithm. Integrating the high resolution multi-spectral remote sensing image QuickBird (QB), field sample data of thermal infrared imaging devices and the local residential areas´ attribute, the analysis is done to estimate the feasibility of the remote sensing application in monitoring the construction heating-loss condition in Northern China. Through the ground validation, the accuracy rate can reach up to 91%. It is proved that remote sensing monitoring based on ASTER is an efficient and objective method in the urban construction energy-saving monitoring.
  • Keywords
    energy conservation; heating; infrared imaging; land surface temperature; remote sensing; ASTER; Chinese northern areas; QuickBird imagery; Shenyang City; energy consumption; energy saving; remote sensing; split-window algorithm; thermal infrared imaging; urban land surface temperature; urban residential construction heating-loss monitoring; Cities and towns; Energy consumption; Environmental factors; Image resolution; Information retrieval; Infrared heating; Land surface; Land surface temperature; Remote monitoring; Temperature sensors;
  • 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.2009.5137532
  • Filename
    5137532