• DocumentCode
    3069281
  • Title

    The preliminary inquiry of Chlorophyll-a inversion algorihtms applicable to guanting reservoir

  • Author

    Fei Xie ; Ziqi Guo ; Ye Tian ; Caixia Liu ; Xia Lei

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    3785
  • Lastpage
    3788
  • Abstract
    Chlorophyll-a is an important index of entrophication. A large number of scholars have engaged in studying Chl-a inversion methodologies in the heavily polluted case II waters. However, the low-level-polluted case II waters haven´t been paid enough attentions. In this study, we chose Guanting Reservoir, China, a low-level-polluted case II water area, as our study field. Then, we modeled three algorithms (original three-band algorithm, enhanced three-band algorithm and analytical algorithm) to retrieve Chl-a concentration. The results show that the Chl-a concentration predicted by the enhanced three-band algorithm is much more correlated with the measured Chl-a concentration (R2=0.843, RMSE=1.98) than the original three-band algorithm (R2=0.802, RMSE=2.15) and analytical algorithm (R2=0.836, RMSE=2.24). So, the enhanced three-band algorithm is the most applicable method of these three algorithms and has the potential applied in the inversion of Chl-a concentration in low-level-polluted case II waters.
  • Keywords
    hydrological techniques; reservoirs; water pollution; water quality; China; Guanting Reservoir; RMSE; analytical algorithm; chlorophyll-a concentration; chlorophyll-a inversion algorithms; enhanced three-band algorithm; entrophication; heavily polluted case II waters; low-level-polluted case II water area; Absorption; Indexes; Prediction algorithms; Remote sensing; Reservoirs; Water pollution; analytical algorithm; case II water; enhanced three-band algorithm; low-level polluted; original three-band algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723655
  • Filename
    6723655