• DocumentCode
    633607
  • Title

    Quantitative Retrieval of Chlorophyll-a Concentration of Taihu Lake Based on Satellite HJ-1Multispectral Data

  • Author

    Qi Wang ; Wei Meng ; Yunfeng Ma ; Xin Ke ; Xiaomin Hu

  • Author_Institution
    Coll. of Resources & Civil Eng., Northeastern Univ., Shenyang, China
  • fYear
    2013
  • fDate
    29-30 June 2013
  • Firstpage
    958
  • Lastpage
    961
  • Abstract
    With combination of satellite HJ-1 multispectral CCD data and synchronous ground monitoring data on water quality, combining the visible light red band (select the one that has a high correlation with measured chlorophyll-a concentration) and near-infrared band, this paper takes Band4/Band3 as arguments, establishing linear model and multinomial model respectively, furthermore makes a comparative analysis of them. The results show that the band combination method for inversion is feasible, based on the comparison of the two models, it is concluded that polynomial model has better effect. And by using ArcGIS software and polynomial modelmakes chlorophyll-a concentration profile.
  • Keywords
    geographic information systems; lakes; polynomials; water quality; ArcGIS software; Taihu Lake; band combination method; band4-band3; chlorophyll-a concentration measurement; chlorophyll-a concentration profile; comparative analysis; linear model; multinomial model; near-infrared band; polynomial model; quantitative chlorophyll-a concentration retrieval; satellite HJ-1 multispectral CC data; synchronous ground monitoring data; visible light red band; water quality; Automation; Manufacturing; Chlorophyll-a; HJ-1; Quantitative inversion; Taihu Lake;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ICDMA.2013.224
  • Filename
    6598148