Study of Forest Fire Severity through Normalized Burn Ratio Analysis using Remote Sensing

Forest fires are a type of natural catastrophe that poses a risk to the vegetation and fauna of the hill stations. Due to the presence of vast enormous areas of land adorned with aged trees, vegetation, and wild life, safeguarding the ecosystem is both critical and arduous. A Geographic Information...

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Bibliographic Details
Published in:E3S web of conferences 2024-01, Vol.491, p.1027
Main Authors: Sivakumar, Vidhya Lakshmi, Raju, Anand, A.V., Sundaram
Format: Article
Language:English
Subjects:
and vegetation
forest fire
normalized burn ratio
remote sensing
severity
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Summary:Forest fires are a type of natural catastrophe that poses a risk to the vegetation and fauna of the hill stations. Due to the presence of vast enormous areas of land adorned with aged trees, vegetation, and wild life, safeguarding the ecosystem is both critical and arduous. A Geographic Information System and Remote Sensing assist in resolving this issue through the continuous monitoring of the forest using satellite, aerial, and drone-based imagery gathered from a variety of sources in India and Abroad. Landsat8 series Band 4, Band 5, Band 6 and Band 7 is used for the study. Following the correction and analysis of reflectance values for pre-fire and post-fire imagery, the Normalized Burn Ratio (NBR) is computed and processed. Finally, the difference in NBR based on the pre-fire event and post-fire event for the Yercaud hill station is analyzed and the severity level is classified for the chosen area of interest.
ISSN:2267-1242
2267-1242
DOI:10.1051/e3sconf/202449101027