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
Link To Document :
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