• DocumentCode
    2868389
  • Title

    Research on Retrieving Aeolian Desertification Land Surface Temperature of North Shaanxi Province with MODIS Data

  • Author

    Huo Aidi ; Wang Guoliang ; Jun, Zhang

  • Author_Institution
    Sch. of Environ. Sci. & Eng., Chang´´an Univ., Xi´´an, China
  • Volume
    6
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    243
  • Lastpage
    246
  • Abstract
    In this paper, two important parameters (surface emissive and atmospheric transmittance) are computed from the VIS, NIR and MIR of MODIS image data. The values of LST are calculated by means of a split-window method based on thermal infrared band (band31 and band32) of MODIS image data in North Shaanxi province, Furthermore, the result from two different empirical formulas parameters is compared with the surface temperature from the corresponding position weather station observation at the time when the satellite transits. The results indicated that the simplified method can be used to acquire the reasonable values of land surface temperature and it is fit for North Shaanxi province. Thus this paper shows a good manner for monitoring large-scale and real-time land surface temperature in Aeolian desertification area using thermal bands of MODIS image data.
  • Keywords
    geophysical image processing; land surface temperature; remote sensing; Eeolian desertification land surface temperature retrieval; LST; MIR; MODIS image data; NIR; North Shaanxi Province; VIS; atmospheric transmittance; band31; band32; split-window method; surface emissive; thermal infrared band; Forestry; Information retrieval; Land surface; Land surface temperature; MODIS; Production; Remote monitoring; Surface fitting; Temperature measurement; Temperature sensors; Atmospheric transmittance; Land surface temperature; MODIS data; Split-window algorithm; Surface emissive;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.88
  • Filename
    5366488