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...

Full description

Saved in:
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
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c2277-b17aafdcd71030bcf7e9d03b1b9842af02d7816ec007be773af94ce7737d2fd03
container_end_page
container_issue
container_start_page 1027
container_title E3S web of conferences
container_volume 491
creator Sivakumar, Vidhya Lakshmi
Raju, Anand
A.V., Sundaram
description 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.
doi_str_mv 10.1051/e3sconf/202449101027
format article
fullrecord <record><control><sourceid>doaj_cross</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_d3cddd6e2eb84de085181a8899a054cc</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_d3cddd6e2eb84de085181a8899a054cc</doaj_id><sourcerecordid>oai_doaj_org_article_d3cddd6e2eb84de085181a8899a054cc</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2277-b17aafdcd71030bcf7e9d03b1b9842af02d7816ec007be773af94ce7737d2fd03</originalsourceid><addsrcrecordid>eNpNkM1OAjEURhujiQR5Axd9gZHbTod2lkhESYgmoAtXTac_UDJMTTuYjE8vI8Swut_9cu9ZHITuCTwQKMjY5kmHxo0pUMZKAgQov0IDSic8I5TR64t8i0Yp7QCA0EIwYAP0uW4PpsPB4XmINrV47qPFa_tto2873G5jOGy2-DXEvar9jzX48RAbvFKtD3jaqLpLPuFD8s0Gr-w-tP1z06936MapOtnReQ7Rx_zpffaSLd-eF7PpMtOUcp5VhCvljDacQA6VdtyWBvKKVKVgVDmghgsysRqAV5bzXLmS6T5wQ93xcogWJ64Jaie_ot-r2MmgvPwrQtxIFVuvaytNro0xE0ttJZixIAoiiBKiLBUUTOsji51YOoaUonX_PAKyty3PtuWl7fwXrIx1Ng</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Study of Forest Fire Severity through Normalized Burn Ratio Analysis using Remote Sensing</title><source>Publicly Available Content Database</source><creator>Sivakumar, Vidhya Lakshmi ; Raju, Anand ; A.V., Sundaram</creator><contributor>Li, G. ; Subramaniam, U. ; Sekar, M.</contributor><creatorcontrib>Sivakumar, Vidhya Lakshmi ; Raju, Anand ; A.V., Sundaram ; Li, G. ; Subramaniam, U. ; Sekar, M.</creatorcontrib><description>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.</description><identifier>ISSN: 2267-1242</identifier><identifier>EISSN: 2267-1242</identifier><identifier>DOI: 10.1051/e3sconf/202449101027</identifier><language>eng</language><publisher>EDP Sciences</publisher><subject>and vegetation ; forest fire ; normalized burn ratio ; remote sensing ; severity</subject><ispartof>E3S web of conferences, 2024-01, Vol.491, p.1027</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2277-b17aafdcd71030bcf7e9d03b1b9842af02d7816ec007be773af94ce7737d2fd03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><contributor>Li, G.</contributor><contributor>Subramaniam, U.</contributor><contributor>Sekar, M.</contributor><creatorcontrib>Sivakumar, Vidhya Lakshmi</creatorcontrib><creatorcontrib>Raju, Anand</creatorcontrib><creatorcontrib>A.V., Sundaram</creatorcontrib><title>Study of Forest Fire Severity through Normalized Burn Ratio Analysis using Remote Sensing</title><title>E3S web of conferences</title><description>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.</description><subject>and vegetation</subject><subject>forest fire</subject><subject>normalized burn ratio</subject><subject>remote sensing</subject><subject>severity</subject><issn>2267-1242</issn><issn>2267-1242</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpNkM1OAjEURhujiQR5Axd9gZHbTod2lkhESYgmoAtXTac_UDJMTTuYjE8vI8Swut_9cu9ZHITuCTwQKMjY5kmHxo0pUMZKAgQov0IDSic8I5TR64t8i0Yp7QCA0EIwYAP0uW4PpsPB4XmINrV47qPFa_tto2873G5jOGy2-DXEvar9jzX48RAbvFKtD3jaqLpLPuFD8s0Gr-w-tP1z06936MapOtnReQ7Rx_zpffaSLd-eF7PpMtOUcp5VhCvljDacQA6VdtyWBvKKVKVgVDmghgsysRqAV5bzXLmS6T5wQ93xcogWJ64Jaie_ot-r2MmgvPwrQtxIFVuvaytNro0xE0ttJZixIAoiiBKiLBUUTOsji51YOoaUonX_PAKyty3PtuWl7fwXrIx1Ng</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Sivakumar, Vidhya Lakshmi</creator><creator>Raju, Anand</creator><creator>A.V., Sundaram</creator><general>EDP Sciences</general><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope></search><sort><creationdate>20240101</creationdate><title>Study of Forest Fire Severity through Normalized Burn Ratio Analysis using Remote Sensing</title><author>Sivakumar, Vidhya Lakshmi ; Raju, Anand ; A.V., Sundaram</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2277-b17aafdcd71030bcf7e9d03b1b9842af02d7816ec007be773af94ce7737d2fd03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>and vegetation</topic><topic>forest fire</topic><topic>normalized burn ratio</topic><topic>remote sensing</topic><topic>severity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sivakumar, Vidhya Lakshmi</creatorcontrib><creatorcontrib>Raju, Anand</creatorcontrib><creatorcontrib>A.V., Sundaram</creatorcontrib><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>E3S web of conferences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sivakumar, Vidhya Lakshmi</au><au>Raju, Anand</au><au>A.V., Sundaram</au><au>Li, G.</au><au>Subramaniam, U.</au><au>Sekar, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Study of Forest Fire Severity through Normalized Burn Ratio Analysis using Remote Sensing</atitle><jtitle>E3S web of conferences</jtitle><date>2024-01-01</date><risdate>2024</risdate><volume>491</volume><spage>1027</spage><pages>1027-</pages><issn>2267-1242</issn><eissn>2267-1242</eissn><abstract>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.</abstract><pub>EDP Sciences</pub><doi>10.1051/e3sconf/202449101027</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2267-1242
ispartof E3S web of conferences, 2024-01, Vol.491, p.1027
issn 2267-1242
2267-1242
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_d3cddd6e2eb84de085181a8899a054cc
source Publicly Available Content Database
subjects and vegetation
forest fire
normalized burn ratio
remote sensing
severity
title Study of Forest Fire Severity through Normalized Burn Ratio Analysis using Remote Sensing
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T17%3A31%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-doaj_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Study%20of%20Forest%20Fire%20Severity%20through%20Normalized%20Burn%20Ratio%20Analysis%20using%20Remote%20Sensing&rft.jtitle=E3S%20web%20of%20conferences&rft.au=Sivakumar,%20Vidhya%20Lakshmi&rft.date=2024-01-01&rft.volume=491&rft.spage=1027&rft.pages=1027-&rft.issn=2267-1242&rft.eissn=2267-1242&rft_id=info:doi/10.1051/e3sconf/202449101027&rft_dat=%3Cdoaj_cross%3Eoai_doaj_org_article_d3cddd6e2eb84de085181a8899a054cc%3C/doaj_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2277-b17aafdcd71030bcf7e9d03b1b9842af02d7816ec007be773af94ce7737d2fd03%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true