• DocumentCode
    3354233
  • Title

    Retrival of total suspended matter (TSM) using remotely sensed images in Shitoukoumen Reservior, Northeast China

  • Author

    Song, Kaishan ; Dongmei, Lu ; Liu, Dianwei ; Wang, Zongming ; Li, Lin ; Zhang, Bai ; Wang, Yuandong

  • Author_Institution
    Northeast Inst. of Geogr. & Agric. Ecology, Changchun, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    405
  • Lastpage
    408
  • Abstract
    The Shitoukoumen Reservoir is the major drinking water resources for the Changchun metropolitan region. The concentration of total suspended matter (TSM) is major water quality parameter that could be retrieved using remotely sensed data. 225 samples were analyzed during 12 times of field works from April 2006 to September 2008, in which the field work conducted on 17th July 2007 and 13th September 2008 were concurrent with IRS-P6 satellite over pass. Empirical regression models were established to analysis the relationship between TSM and satellite-received radiances. It was found that the regression model performed well on the TSM concentration estimation with higher accuracy (R2 = 0.94, 0.91) with IRS-P6 visible and near infrared bands as inputs. The high concentration of TSM made it the dominant upwelling signature captured by IRS-P6 satellite data, which may explain why the regression model relatively accurate. The RMSE for the TSM was less than 15%. Future work will need to be undertaken to refine model for Shitoukoumen Reservoir water quality monitoring with remotely sensed images or hyperspectral imaging data is to be launched in the near future.
  • Keywords
    hydrological techniques; remote sensing; reservoirs; water quality; AD 2006 04 to 2008 09; Changchun metropolitan region; IRS-P6 satellite; Northeast China; Shitoukoumen Reservoir; dominant upwelling signature; drinking water resources; remote sensing; satellite-received radiance; total suspended matter; water quality; Correlation; Data models; Reflectivity; Remote sensing; Reservoirs; Satellites; Hyperspectral; IRS-P6; TSM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5652728
  • Filename
    5652728