• DocumentCode
    1892750
  • Title

    Monitoring model of aboveground biomass in Gannan grassland based on remote sensing

  • Author

    Wang, Jing ; Guo, Ni ; Cai, Dihua ; Han, Hui ; Liang, Yun

  • Author_Institution
    Key Lab. of Arid Climatic Change & Reducing Disaster of Gansu Province, Lanzhou Inst. of Arid Meteorol., Lanzhou, China
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    2749
  • Lastpage
    2752
  • Abstract
    In this paper, using 16 days 250m MODIS vegetation index dataset, the relationship between eight vegetation indexes (Vis) and aboveground biomass in Gannan grassland of China, was analyzed. Based on their correlations, monitoring models of aboveground biomass was constructed, and then the aboveground biomass of the whole Gannan Autonomous Region and its every county were estimated. The results showed that in most growth period, there are very significant relativity between vegetation indexes and aboveground biomass, which is the most obvious with synchronous EVI(r=0.782). And the cubic polynomial model of EVI fits aboveground biomass better than other vegetation indexes and functions. Based on above formula, aboveground biomass of Gannan grassland in 2007 and 2008 are separately 5610kg/hm2 and 5605kg/hm2. As to every county, comparing with that in 2007, aboveground biomass of 2008 in Lintan, Zhuoni and Diebu County increased, while in Hezuo, Maqu, Luqu, Xiahe and Zhouqu County it decreased.
  • Keywords
    radiometers; renewable energy sources; vegetation; vegetation mapping; AD 2007; AD 2008; China; Diebu; Gannan Autonomous Region; Gannan grassland; Hezuo; Lintan; Luqu; MODIS vegetation index dataset; Maqu; Xiahe; Zhouqu; Zhuoni; aboveground biomass; cubic polynomial model; growth period; monitoring model; remote sensing; Biological system modeling; Biomass; Indexes; MODIS; Monitoring; Polynomials; Vegetation; Gannan grassland; aboveground biomass; model; remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6049783
  • Filename
    6049783