• Title of article

    Determination of persistence effects in spatio-temporal patterns of upward long-wave radiation flux density from an urban courtyard by means of Time-Sequential Thermography

  • Author/Authors

    Meier، نويسنده , , Fred and Scherer، نويسنده , , Dieter and Richters، نويسنده , , Jochen، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    14
  • From page
    21
  • To page
    34
  • Abstract
    This research analyses upward long-wave radiation flux density from urban surfaces using a high-resolution thermal-infrared (TIR) camera and meteorological measurements in the city of Berlin, Germany. We report spatio-temporal patterns of the difference between upward long-wave radiation flux density from courtyard surfaces and the roof. For temporal analysis, the TIR camera recorded one TIR image per minute over a period of two days from 3rd to 5th May 2007. Three-hourly averaged thermal patterns show persistence effects due to shadow, sky-view factor (SVF) distribution in the courtyard, thermal properties of the surface materials, human activities and turbulence characteristics of the surface–atmosphere interface. The history of shadow influences the 24-hourly mean pattern. Shadow caused by temporarily parked cars results in a lower upward long-wave radiation flux density compared to the non-shadowed surface close to it. Immediately after car departure, this difference decreases. We propose a method to derive the thermal admittance of a concrete surface based on TIR data from this attenuation process. This study shows that ground-based high-resolution TIR imagery is highly suitable to investigate surface thermal properties and dynamic processes controlling thermal patterns within a complex three-dimensional (3D) urban structure.
  • Keywords
    Time-Sequential Thermography , persistence , shadow , Upward long-wave radiation , Urban courtyard , Thermal admittance , Spatio-temporal patterns , Ground-based remote sensing
  • Journal title
    Remote Sensing of Environment
  • Serial Year
    2010
  • Journal title
    Remote Sensing of Environment
  • Record number

    1629511