• DocumentCode
    143750
  • Title

    Assessing the potential of satellite and ground spectral data for Chlorophyll-a monitoring in Lake Kasumigaura, Japan

  • Author

    Dahanayaka, D.D.G.L. ; Tonooka, H. ; Wijeyaratne, M.J.S. ; Minato, A. ; Ozawa, S.

  • Author_Institution
    Ibaraki Univ., Hitachi, Japan
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    3350
  • Lastpage
    3353
  • Abstract
    The suitability of a handheld spectrometer and ASTER satellite data for monitoring Chlorophyll-a (Chl-a) in Lake Kasumigaura, Japan was tested in July 2010 to December 2013. ASTER based Chl-a retrieval algorithms were developed support with in-situ Chl-a, MODIS OC3 Chl-a and Kakemaoki and Koshin automated water quality monitoring stations Chl-a. ASTER VNIR band ratio were regressively analyzed with the corrected MODIS Chl-a and automated station values obtained for each ASTER date on a day by day basis. The regression equation of the ASTER band ratio (B1/B2), with highest correlation was used to generate high-resolution Chl-a distribution maps. Significant correlation between the ratio of the reflectance peak at 705 nm and the Chl-a absorption at 678 nm and the in-situ Chl-a content was observed and these reflectance ratios were used to establish spectrometric Chl-a estimation algorithms. Proposed algorithms can be successfully adopted to determine localized environmental effects in the Lake.
  • Keywords
    lakes; remote sensing; water quality; AD 2010 07 to 2013 12; ASTER VNIR band ratio; ASTER satellite data; Chl-a retrieval algorithms MODIS OC3 Chl-a; Japan; Kakemaoki automated water quality monitoring station; Koshin automated water quality monitoring station; Lake Kasumigaura; chlorophyll-a monitoring; ground spectral data; handheld spectrometer suitability; localized environmental effects; reflectance ratios; satellite spectral data; Equations; Lakes; MODIS; Monitoring; Reflectivity; Remote sensing; Satellites; ASTER; Chlorophyll-a; in-situ measurements; regression analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947198
  • Filename
    6947198