• DocumentCode
    2698364
  • Title

    Unmixing a Variable Endmember Linear Mixture Model for Estimation of Heat Island Mitigation by Green Vegetation

  • Author

    Obata, Kenta ; Yoshioka, Hiroki ; Yamamoto, Hirokazu

  • Author_Institution
    Dept. of Inf. Sci. & Technol., Aichi Prefectural Univ., Nagakute
  • Volume
    5
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    Leaf area index within vegetated surface and its fractional area to a target pixel (fraction of vegetation cover) are two important factors for estimation of cooling potential by green vegetation in the context of mitigating heat island effects. This paper explains a technique to retrieve these two parameters from satellite images utilizing three bands of visible, near-infrared, and shortwave infrared for better estimation of mitigation potential. The technique assumes linear mixture model with variable end member approach in which end member spectra of vegetation and non-vegetation targets are varied continuously by representing these spectra as a function of leaf area index and soil brightness, respectively. A numerical algorithm is examplained to unmix the variable endmember LMM. The proposed technique was applied to the data acquired by LANDSAT7-ETM+ to discuss its validity on retrievals of the two biophysical parameters.
  • Keywords
    atmospheric boundary layer; atmospheric temperature; geophysical techniques; soil; vegetation; LANDSAT7-ETM+ data; cooling potential estimation; green vegetation; heat island mitigation; leaf area index; soil brightness; unmixing; Brightness; Cooling; Image retrieval; Information retrieval; Infrared imaging; Remote sensing; Satellites; Soil; Thermal pollution; Vegetation mapping; LAI; Variable endmember; fraction of vegetation cover; heat island effect; linear mixture model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4780138
  • Filename
    4780138