Determination of fire intensity after forest fire by remote sensing: marmaris case study

dc.contributor.authorErzurumlu, Gülden Sandal
dc.contributor.authorYıldız, Nuriye Ebru
dc.date.accessioned2024-11-07T10:39:30Z
dc.date.available2024-11-07T10:39:30Z
dc.date.issued2024
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description3rd International Conference on Research of Agricultural and Food Technologies, I-CRAFT 2023 -- 4 October 2023 through 6 October 2023 -- Adana -- 196444
dc.description.abstractForest fires in Turkiye are a frequently encountered natural disaster, especially in recent years. After a fire, identifying the plant species to be used in the area and determining the intensity of the fire in the region are important for assessing the area's capacity for natural regeneration. In this process, geographic information systems and remote sensing methods and techniques are commonly used tools for assessing burned areas and fire intensities following forest fires. In this study, one of Turkiye's devastating fires, the Marmaris fire, which began on June 21, 2022, is examined. Landsat satellite images, geometrically and radiometrically corrected, were utilized to determine the intensity of the Marmaris fire. As part of the method, the NBR (Normalized Burn Ratio), dNBR (Difference Normalized Burn Ratio), NDVI (Normalized Difference Vegetation Index), and dNDVI (Difference Normalized Difference Vegetation Index) indices were used for burned area detection. As a result of the study, information about the burned areas, fire intensities, and the regenerative capabilities of post-fire vegetation growth has been obtained. Furthermore, suitable pioneer plant species, considering the fire intensity, have been suggested for the restoration of burned landscape areas after the fire. This study is expected to serve as a guide for relevant public institutions and organizations, particularly the General Directorates of Forestry, enabling them to respond most effectively after fires and implement reforestation efforts considering the usage areas and growth capabilities of needle-leaved and broad-leaved plants. © The Authors, published by EDP Sciences.
dc.identifier.doi10.1051/bioconf/20248501041
dc.identifier.issn2273-1709
dc.identifier.scopus2-s2.0-85183615179
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1051/bioconf/20248501041
dc.identifier.urihttps://hdl.handle.net/11480/11013
dc.identifier.volume85
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherEDP Sciences
dc.relation.ispartofBIO Web of Conferences
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241106
dc.titleDetermination of fire intensity after forest fire by remote sensing: marmaris case study
dc.typeConference Object

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