• DocumentCode
    3382734
  • Title

    Estimating chlorophyll a concentration in lake water using space-borne hyperspectral data

  • Author

    Li, Li ; Yin, Qiu ; Xu, Hua ; Gong, Cailan ; Chen, Zhenghua

  • Author_Institution
    Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    401
  • Lastpage
    404
  • Abstract
    Chlorophyll fluorescence properties are effective in detecting chlorophyll a concentration in lake water, which provided new optional sensitive bands to retrieval chl-a concentration in complex water. Hyper Spectral Imager (HSI) on HJ-1A satellite with great spectral resolution can be used to detect spectral characteristics of chlorophyll fluorescence peak. The effects of empirical algorithms of lake Taihu and the algorithm based on height of fluorescence peak are analyzed by using MODIS data and HSI data respectively. The results show that compared with empirical MODIS algorithms of lake Taihu, chl-a retrieval based on HSI is more similar to the in-situ reference data.
  • Keywords
    hydrological techniques; lakes; organic compounds; remote sensing; water quality; China; HJ-1A satellite; HSI data; Hyperspectral Imager; MODIS data; Taihu lake; chlorophyll a concentration estimation; chlorophyll fluorescence properties; lake water; space borne hyperspectral data; Fluorescence; Hyperspectral imaging; Lakes; MODIS; Reflectivity; Water; Image analysis; Remote sensing; Satellite application; Water;
  • 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.2010.5654478
  • Filename
    5654478