• DocumentCode
    2198422
  • Title

    Modeling directional thermal radiance anisotropy for urban canopy

  • Author

    Limin Zhao ; Xingfa Gu ; Tao Yu ; Wei Wan ; Jiaguo Li

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3102
  • Lastpage
    3105
  • Abstract
    One of the significant factors for improving the accuracy of Land Surface Temperature (LST) retrieval is the correct understanding of the directional anisotropy for thermal radiance. In this paper, the multiple scattering effect between heterogeneous non-isothermal surfaces is described rigorously according to the concept of configuration factor, based on which a directional thermal radiance model is built, and the directional radiant character for urban canopy is analyzed. The model is applied to a simple urban canopy with row structure to simulate the change of Directional Brightness Temperature (DBT). The results show that the DBT is aggrandized because of the multiple scattering effects, whereas the change range of DBT is smoothed. The temperature difference, spatial distribution, emissivity of the components can all lead to the change of DBT. The “hot spot” phenomenon occurs when the proportion of high temperature component in the vision field came to a head. On the other hand, the “cool spot” phenomena occur when low temperature proportion came to the head. The “spot” effect disappears only when the proportion of every component keeps invariability. The model built in this paper can be used for the study of directional effect on emissivity, the LST retrieval over urban areas and the adjacency effect of thermal remote sensing pixels.
  • Keywords
    atmospheric techniques; atmospheric temperature; emissivity; land surface temperature; remote sensing; cool spot phenomena; directional brightness temperature; directional thermal radiance anisotropy model; emissivity; heterogeneous nonisothermal surfaces; hot spot phenomenon; land surface temperature retrieval; multiple scattering effect; spatial distribution; temperature difference; thermal radiance; thermal remote sensing pixels; urban canopy; Atmospheric modeling; Land surface; Land surface temperature; Remote sensing; Temperature; Temperature measurement; Temperature sensors; Directional thermal radiance; configuration factor; hot spot effect; multiple scattering; urban canopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350769
  • Filename
    6350769