• DocumentCode
    142752
  • Title

    Analyzing a North American prairie wildfire using remote sensing imagery

  • Author

    Bing Lu ; Yuhong He

  • Author_Institution
    Dept. of Geogr., Univ. of Toronto, Mississauga, ON, Canada
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    832
  • Lastpage
    835
  • Abstract
    Grassland wildfires have profound immediate effects on ecosystems. A wildfire that occurred in Grasslands National Park (GNP) on April 27th 2013 has severely disturbed the local ecosystem. This study was thus conducted to evaluate impacts of the fire on this semi-arid grassland. Spectral indices including Normalized Burn Ratio (NBR), Mid-Infrared Burn Index (MIRBI), and Normalized Difference Vegetation Index (NDVI), derived from Landsat images were explored to evaluate the burn severity, to assess the relationship between pre-fire vegetation parameters and burn severity, and to analyze the vegetation recovery progress. Results indicated that while the selected spectral indices were all able to detect burn severity, the MIRBI showed the best performance. Severely burned areas were distributed along a river where a large amount of pre-fire dead biomass had accumulated. Overall the grassland ecosystem showed a strong resilience by recovering quickly after the fire.
  • Keywords
    ecology; rivers; vegetation; wildfires; AD 2013 04 27; Grasslands National Park; Landsat images; MIRBI; NBR; NDVI; North American Prairie wildfire; burn severity; grassland ecosystem; grassland wildfires; midinfrared burn index; normalized burn ratio; normalized difference vegetation index; prefire dead biomass; prefire vegetation parameters; remote sensing imagery; river; semiarid grassland; spectral indices; vegetation recovery progress; Earth; Ecosystems; Fires; Indexes; Remote sensing; Satellites; Vegetation mapping; Grassland; burn severity; fire; remote sensing; spectral index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946553
  • Filename
    6946553