• DocumentCode
    2448514
  • Title

    Hyperspectral remote sensing of chlorophyll-a in the Xuanwu Lake

  • Author

    Li, Yan ; Li, Zhaofu

  • Author_Institution
    Coll. of Resources & Environ. Sci., Nanjing Agric. Univ., Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    2204
  • Lastpage
    2208
  • Abstract
    The concentration of chlorophyll-a can reflect water quality to some extent. An approach for the determination of chlorophyll-a from field reflectance spectra was presented in the Xuanwu Lake. The reflectance spectra was measured from April to May in 2009 with FieldSpec 3 portable spectrometer, and water samples were collected directly from the lake to be analyzed in lab. Using correlations between the ground-truth data and combinations of spectral bands from the field spectral data, spectral indices including single band, band ratios, and the first-derivative models were developed which could be used to estimate chlorophyll-a. The results show that single band, band ratios and the first-derivative models have a better correlation with chlorophyll-a. But the model validation results show that coefficient of determination of the band ratios and the first-derivative models are higher (R2=0.7835 and R2=0.5913 with significance level P<;60;0.01), and the single band model is the lowest (R2=0.4748). Therefore, band ratios and the first-derivative models can be used to indicate chlorophyll-a concentration of Xuanwu Lake, and the band ratios model is better than first-derivative model.
  • Keywords
    lakes; remote sensing; water quality; AD 2009 04 to 05; China; FieldSpec portable spectrometer; Xuanwu lake; band ratios; chlorophyll-a; ground-truth data; hyperspectral remote sensing; reflectance spectra; spectral bands; spectral data; water quality; Biological system modeling; Hyperspectral imaging; Lakes; Reflectivity; Water resources; chlorophyll-a; hyperspectral; model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5964746
  • Filename
    5964746