• DocumentCode
    2133320
  • Title

    Forest fire disturbance and its effect on forest biomass in Daxinganling region

  • Author

    Yu, Xinfang ; Pang, Yong ; Zhuang, Dafang ; Hou, Xiyong

  • Author_Institution
    Inst. of Geogr. Sci. & Natural Resources Res., Chinese Acad. of Sci., Beijing, China
  • Volume
    4
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    2310
  • Abstract
    The forest fire during May 6-June 4, 1987 in Daxinganling of Northeastern China has changed greatly the forest structure and forest biomass. The post-fire forest cover types and forest biomass change are related to different fire disturbance levels. In this article, multi-temporal Landsat TM images and forest inventory data are used to estimate the forest biomass change of burned forest and unburned forest in more than 10 years since 1987 forest fire and to analyze the fire disturbance influences on forest biomass and carbon reserve. Burn severity classes (lightly burned, moderately burned, severely burned) are mapped from two dates Landsat TM images acquired before and after the fire. One representative forest farm which includes several burn severity classes is selected to analyze the biomass change quantitatively. Based on forest inventory data acquired in 1987 and 1998, forest biomass of the selected forest farm was estimated using biomass transform equations which can be used to estimate forest biomass from living stock volume for main forest species. At last, net forest biomass change of burned forest and unburned forest in the period was calculated and analyzed.
  • Keywords
    fires; forestry; remote sensing; vegetation mapping; AD 1987 05 06 to 06 04; AD 1998; Daxinganling region; Landsat TM images; NE China; biomass transform equation; burn severity; forest biomass; forest cover types; forest fire disturbance; forest inventory data; Biomass; Equations; Fires; Image analysis; Information technology; Remote monitoring; Remote sensing; Satellites; Transforms; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1369748
  • Filename
    1369748