• DocumentCode
    2134349
  • Title

    Towards an operational algorithm for inferring soil and foliage component temperatures from ATSR-2

  • Author

    Li, Zhao-Liang ; Jia, Li ; Su, Zhongbo ; Wan, Zhengming ; Menenti, Massimo

  • Author_Institution
    GRTR/LSIIT/ENSPS, Illkirch, France
  • Volume
    5
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2388
  • Abstract
    Presents an operational algorithm for retrieving foliage and soil temperatures over mixed land surface pixels on the basis of the analysis of dual-angle and multichannel observations made by ATSR-2. First a physical model to retrieve separately foliage and soil temperatures from two-angle measurements using the six channels of ATSR-2 is recalled briefly. Four visible, near-infrared and short wave infrared channels are used to determine the fraction cover of vegetation within a pixel, while the two thermal infrared channels are used to determine with the split window method the ground surface brightness temperatures at two view angles. Then an implementation of this method is given and several case studies are undertaken with ATSR-2 data, showing encouraging results of the two-component temperature retrieval
  • Keywords
    remote sensing; soil; spectral methods of temperature measurement; vegetation mapping; ATSR-2; IR channels; dual-angle observations; foliage temperatures; ground surface brightness temperatures; mixed land surface pixels; multichannel observations; operational algorithm; soil temperatures; split window method; two-angle measurements; two-component temperature retrieval; vegetation cover fraction; visible channels; Algorithm design and analysis; Brightness temperature; Land surface; Land surface temperature; Radiometry; Soil measurements; Temperature measurement; Temperature sensors; Vegetation; Wide area networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-7031-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2001.978011
  • Filename
    978011