• DocumentCode
    2713700
  • Title

    Estimation above-ground biomass of wetland bulrush in Qaidam Basin, China, combining regression model with vegetation index

  • Author

    Xie, Pingjing ; He, Binbin ; Xing, Minfeng

  • Author_Institution
    Inst. of Geo-Spatial Inf. Sci. & Technol., Univ. of Electron. Sci. & Technol., Chengdu, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Biomass is one of the important indicators to measure the health condition of ecosystem. In this study, four types of vegetation index (NDVI, RVI, DVI and TNDVI) were chosen as the independent variables and simple regression model was used to analyze the biomass of the study area, Qaidam Basin. The best biomass estimation model based on the vegetation index was selected by comparing the models with different indices. At the same time, the above-ground biomass was also generated based on the comparison of the previous vegetation indices. The results indicated that DVI was the best suitable index for above biomass calculation, and the estimation model was a cubic curve with the correlation coefficient valued 0.710 and the significance probability less than 0.05.
  • Keywords
    ecology; vegetation mapping; Bulrush Wetland; China; Qaidam Basin; RVI; TNDVI; biomass estimation model; correlation coefficient; cubic curve; ecosystem; health condition; regression model; vegetation index; Biological system modeling; Biomass; Estimation; Indexes; Remote sensing; Vegetation; Vegetation mapping; Biomass; Qaidam Basin; Regression Model; Remote Sensing; Vegetation Index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5981132
  • Filename
    5981132