• DocumentCode
    2212997
  • Title

    A direct algorithm for estimating daily regional Evapotranspiration from modis TOA radiances

  • Author

    Peng, Jian ; Liu, Yuanbo ; Zhao, Xiaosong ; Loew, Alexander

  • Author_Institution
    State Key Lab. of Lake Sci. & Environ., Nanjing Inst. of Geogr. & Limnology, Nanjing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    702
  • Lastpage
    705
  • Abstract
    Satellite remote sensing is a promising technique for estimating global or regional ET (Evapotranspiration). A simplified single-source energy balance parameterization scheme, known as the surface temperature-vegetation index (Ts-VI) triangle method, has been applied successfully to estimate regional clear sky ET in many studies. On the basis of this approach, we proposed a new method to estimate daily ET directly using the TOA (top of atmosphere) radiances without performing atmospheric correction and other processes. The estimated EF, net radiation and ET have been validated against field observations collected for the period October 2007-July 2008. The results suggest that the proposed method appears to provide daily EF, net radiation and ET with comparable accuracy to those of current widely used satellite-based methods. Overall, the proposed algorithm has fewer assumptions and can avoid the uncertainties associated with the satellite derived products.
  • Keywords
    atmospheric radiation; evaporation; hydrological techniques; land surface temperature; remote sensing; transpiration; MODIS TOA radiances; atmospheric correction; field observations; global evapotranspiration; net radiation; regional clear sky ET; regional evapotranspiration; satellite derived products; satellite remote sensing; satellite-based methods; simplified single-source energy balance parameterization scheme; surface temperature-vegetation index triangle method; Atmospheric modeling; Estimation; Indexes; Land surface; MODIS; Remote sensing; Satellites; Evaporative Fraction; Evapotranspiration; Net radiation; Remote sensing; TOA radiances;
  • 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.2012.6351468
  • Filename
    6351468