• DocumentCode
    1986781
  • Title

    Some Discussions on the Algorithms for Estimating Evapotranspiration for Mixed Landscapes in Three-Temperature Model

  • Author

    Xiong, Y.J. ; Qiu, G.Y. ; Zhao, S.H.

  • Author_Institution
    Coll. of Resources Sci. & Technol., Beijing Normal Univ., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    430
  • Lastpage
    433
  • Abstract
    Three-temperature model (3T model) was a recently proposed algorithm, which could be used to estimate actual evapotranspiration (ET) and evaluate environmental quality. The 3T model has been verified as a simple and accurate one for soil evaporation and vegetation transpiration in situ. It also showed a good potential to estimate ET accurately under regional or macro scale conditions for the mixed-landscape. However, because the algorithm for estimating ET in the 3T model was only proposed from theoretical deduction, several parameters need to be further defined and the accuracy of algorithm needs to be verified. Therefore, the aim of this paper is to define and verify an algorithm for estimating ET for the mixed landscapes. By revising the original algorithm in the 3T model, new algorithm was proposed. The validation results showed that the revised algorithm was much better than the original one.
  • Keywords
    remote sensing; soil; vegetation; evapotranspiration; mixed landscapes; remote sensing; soil evaporation; surface temperature; three-temperature model; vegetation transpiration; Educational technology; Equations; Geoscience and remote sensing; Land surface; Land surface temperature; Pixel; Remote sensing; Soil; Temperature sensors; Vegetation mapping; TM image; remote sensing; surface temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.106
  • Filename
    5070188