Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/6358
Title: Mapping of Fire Severity and Comparison of Severity Indices Across Vegetation Types in Gibraltar Range National Park, Australia
Contributor(s): Kumar, Lalit (author)orcid ; Clarke, Peter J (author); Munoz-Robles, Carlos (author); Knox, Kirsten J (author)
Publication Date: 2008
Handle Link: https://hdl.handle.net/1959.11/6358
Abstract: The effect of fire on natural resources is termed "fire severity" and is related to the energy output of the fire. Recently the term "burn severity" has been introduced to identify the impacts of fire on soil and plants when the fire has been extinguished. This study addresses the assessment of a large wildfire in Gibraltar Range National Park, Australia, through remote sensing of fire severity and explores the spatial relationships between, fire severity and biophysical factors. Burn severity indices were developed from Landsat TM satellite images using pre-fire and post-fire images. Reflectance values computed from Landsat Enhanced Thematic Mapper (ETM) images acquired before and after the fire were used to estimate the Normalised Burn Ratio (NBR), which incorporates the near and mid infrared bands. Spatial distribution of ANBR data were calibrated with field observations and threshold values of burn severity were used to classify fire severity into 5 severity classes per vegetation type. ANBR values were extracted from different representative fire severities and spatial relationships were developed between ANBR and vegetation type, fuel type, fire danger index, time since fire, fire frequency, slope and rockiness in order to account for variables influencing fire severity patterns. General linear models and tests of significance were used to ascertain whether the effects of individual factors were statistically significant. The various models tested showed that no single factor (weather, fuel or landscape) accounted for the burn severity pattern. Fire weather and vegetation type Were found to be the key factors in the models.
Publication Type: Conference Publication
Conference Name: International Society for Photogrammetry and Remote Sensing Congress, Beijing, China, 3rd -11th July, 2008
Conference Details: International Society for Photogrammetry and Remote Sensing Congress, Beijing, China, 3rd -11th July, 2008
Source of Publication: ISPRS Congress Beijing 2008, Proceedings of Commission VII, XXXVII(B7), p. 1477-1482
Publisher: ISPRS: International Society for Photogrammetry and Remote Sensing
Place of Publication: online
ISSN: 1682-1750
Field of Research (FOR): 090905 Photogrammetry and Remote Sensing
050104 Landscape Ecology
050102 Ecosystem Function
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Other Links: http://www.isprs.org/proceedings/XXXVII/congress/7_pdf/9_ThS-17/13.pdf
http://www.isprs.org/proceedings/XXXVII/congress/tc7.aspx
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