• DocumentCode
    2112239
  • Title

    Estimation of the carbon stock of tropical forest vegetation by using remote sensing and GIS

  • Author

    Yang, Cunjian ; Liu, Jiyuan ; Zhang, Zengxiang ; Zhang, Zongke

  • Author_Institution
    Inst. of Remote Sensing Applications, Acad. of Sci., Road, China
  • Volume
    4
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1672
  • Abstract
    Estimation of the carbon stock of tropical forest vegetation is very important for global change research. Estimation of the carbon stock of the forest vegetation with remote sensing and GIS was explored in Xishuangbanna autonomous prefecture, Yunnan province, P.R. of China. It includes five steps. Firstly, all of the data were referenced to the same projection and coordination. Secondly, the biomass of the forest fixed samples was calculated. Thirdly, the LANDSAT TM images were processed and a lot of indices were created from the LANDSAT TM images. Fourthly, the model of biomass estimation was formulated with the biomass of the forest fixed samples, corresponding GIS data and Landsat TM images. Finally, the biomass of the forest vegetation was calculated, and the carbon stock was calculated from the biomass
  • Keywords
    atmospheric composition; atmospheric techniques; carbon; forestry; geochemistry; geophysical techniques; remote sensing; vegetation mapping; C; China; GIS; LANDSAT TM; Xishuangbanna; Yunnan; atmosphere; biomass; chemical composition; geochemistry; geophysical measurement technique; land surface; multispectral remote sensing; remote sensing; tropical forest; vegetation; Animals; Biomass; Content addressable storage; Geographic Information Systems; Information management; Rain; Remote sensing; Satellites; Temperature; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-7031-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2001.977030
  • Filename
    977030