• DocumentCode
    2841489
  • Title

    Estimation of Above-Ground Biomass Using HJ-1 Hyperspectral Images in Hangzhou Bay, China

  • Author

    Zhang, Hao ; Hu, Hao ; Yao, Xu-guo ; Zheng, Ke-feng ; Gan, Yi

  • Author_Institution
    Center for Digital Agric. Res., Zhejiang Acad. of Agric. Sci., Hangzhou, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This study demonstrates the potentials of HJ-1 hyperspectral sensor (110-128 bands)-based estimation of aboveground biomass in Hangzhou Bay Zhejiang Province, China. We coupled AGB values, calculated from field measurements of vegetation, with six different vegetation indices derived from HJ1 data through regression analyses to produce an initial biomass map. The results showed that above-ground biomass was strongly related to the soil adjusted vegetation index (SAVE; R = 0.909, p < 0.01). The mean value of estimated above-ground biomass in the study area is 34 Mg /ha, which was also validated using independent field measurements (R = 0.63, p < 0.01). This AGB maps can be used as baseline information for future landscape level studies such as quantifying the salt-marsh vegetation and monitoring management practices.
  • Keywords
    image processing; regression analysis; renewable materials; vegetation mapping; AGB values; China; HJ-1 hyperspectral images; HJ-1 hyperspectral sensor; Hangzhou Bay; above-ground biomass; landscape level studies; monitoring management; regression analyses; salt-marsh vegetation; soil adjusted vegetation index; vegetation indices; Biomass; Calibration; Educational institutions; Gallium nitride; Hyperspectral imaging; Hyperspectral sensors; Life estimation; Satellites; Soil measurements; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5364800
  • Filename
    5364800