• DocumentCode
    2711322
  • Title

    Mapping evapotranspiration using MODIS and GRACE data

  • Author

    Tang, Qiuhong ; Zhang, Xuejun

  • Author_Institution
    Inst. of Geographic Sci. & Natural Resources Res., Chinese Acad. of Sci., Beijing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The MODerate resolution Imaging Spectroradiometer (MODIS) data were widely used to estimate land surface evapotranspiration (ET). However, the MODIS ET estimates may not close the land surface water budget. A MODIS ET estimation approach was implemented in the Yellow River Basin of China from 2002 to 2004. The MODIS ET estimates were compared with the estimates from a water budget approach that inferred ET from the Gravity Recovery and Climate Experiment (GRACE) water storage variations, precipitation and streamflow observations. The results showed that the MODIS ET estimates had systematic bias in the monthly mean. The ET estimates from the water budget approach were used to adjust the MODIS ET estimates. The adjusted MODIS ET data have the MODIS spatiotemporal resolution and can fit better with the land surface water budget. It suggests that the MODIS ET estimates may be improved by the use of the GRACE water storage variations.
  • Keywords
    evaporation; hydrology; rivers; transpiration; AD 2002 to 2004; China; GRACE data; Gravity Recovery and Climate Experiment; MODIS data; MODerate resolution Imaging Spectroradiometer; Yellow River Basin; evapotranspiration mapping; land surface evapotranspiration; land surface water budget; Estimation; Land surface; MODIS; Meteorology; Remote sensing; Rivers; Water resources; Gravity Recovery and Climate Experiment (GRACE); MODerate resolution Imaging Spectroradiometer (MODIS); land surface evapotranspiration (ET);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980998
  • Filename
    5980998