ASSESSMENT OF FIRE SEVERITY AND POST-FIRE REGENERATION BASED ON TOPOGRAPHICAL FEATURES USING MULTITEMPORAL LANDSAT IMAGERY: A CASE STUDY in MERSIN, TURKEY

dc.contributor.authorTonbul, H.
dc.contributor.authorKavzoglu, T.
dc.contributor.authorKaya, S.
dc.date.accessioned2025-10-29T11:08:01Z
dc.date.issued2016
dc.departmentGebze Teknik Üniversitesi
dc.description23rd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS) -- JUL 12-19, 2016 -- Prague, CZECH REPUBLIC
dc.description.abstractSatellite based remote sensing technologies and Geographical Information Systems (GIS) present operable and cost-effective solutions for mapping fires and observing post-fire regeneration. Mersin-Glnar wildfire, which occurred in August 2008 in Turkey, selected as study site. The fire was devastating and continued 55 days. According to Turkish General Directorate of Forestry reports, it caused two deaths and left hundreds of people homeless. The aim of this study is to determine the fire severity and monitor vegetation recovery with using multitemporal spectral indices together with topographical factors. Pre-fire and post-fire Landsat ETM+ images were obtained to assess the related fire severity with using the widely-used differenced Normalized Burn Ratio (dNBR) algorithm. Also, the Normalized Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) were used to determine vegetation regeneration dynamics for a period of six consecutive years. In addition, aspect image derived from Aster Global Digital Elevation Model (GDEM) were used to determine vegetation regeneration regime of the study area. Results showed that 5388 ha of area burned with moderate to high severity damage. As expected, NDVI and SAVI values distinctly declined post-fire and then began to increase in the coming years. Mean NDVI value of burned area changed from 0.48 to 0.17 due to wildfire, whilst mean SAVI value changed from 0.61 to 0.26. Re-growth rates calculated for NDVI and SAVI 57% and 63% respectively, six years after the fire. Moreover, NDVI and SAVI were estimated six consecutive year period by taking into consideration east, south, north and west facing slopes. Analysis showed that north-facing and east-facing slopes have higher regeneration rates in compared to other aspects. This study serves as a window to an understanding of the process of fire severity and vegetation regeneration that is vital in wildfire management systems.
dc.description.sponsorshipInt Soc Photogrammetry & Remote Sensing
dc.identifier.doi10.5194/isprsarchives-XLI-B8-763-2016
dc.identifier.endpage769
dc.identifier.issn2194-9034
dc.identifier.issueB8
dc.identifier.orcid0000-0003-4817-6542
dc.identifier.orcid0000-0002-9779-3443
dc.identifier.orcid0000-0002-4962-0492
dc.identifier.scopus2-s2.0-84979642539
dc.identifier.scopusqualityN/A
dc.identifier.startpage763
dc.identifier.urihttps://doi.org/10.5194/isprsarchives-XLI-B8-763-2016
dc.identifier.urihttps://hdl.handle.net/20.500.14854/5146
dc.identifier.volume41
dc.identifier.wosWOS:000393156000129
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherCopernicus Gesellschaft Mbh
dc.relation.ispartofXxiii Isprs Congress, Commission Viii
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20251020
dc.subjectdNBR
dc.subjectFire Severity
dc.subjectLandsat ETM
dc.subjectNDVI
dc.subjectSAVI
dc.subjectVegetation Regeneration
dc.subjectWildfire
dc.titleASSESSMENT OF FIRE SEVERITY AND POST-FIRE REGENERATION BASED ON TOPOGRAPHICAL FEATURES USING MULTITEMPORAL LANDSAT IMAGERY: A CASE STUDY in MERSIN, TURKEY
dc.typeConference Object

Dosyalar