Determination of Fire Damage and Fire Susceptible Areas Using Remote Sensing and Geographic Information Systems: A Case Study Aydıncık (Mersin) District, Türkiye
As a country located in the Mediterranean climate zone, hundreds of forest fires occur every year in Türkiye and these fires cause many damages. Preventing forest fires is as important as reducing fire damage in reducing this damage. Therefore, areas susceptible to forest fire should be identified b...
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Artvin Coruh University
2024-07-01
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| Series: | Doğal Afetler ve Çevre Dergisi |
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| Online Access: | https://dacd.artvin.edu.tr/tr/download/article-file/3659269 |
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| author | Fatih Ocak Feride Cesur Amira İsmail Aden Sevim Keklik |
| author_facet | Fatih Ocak Feride Cesur Amira İsmail Aden Sevim Keklik |
| author_sort | Fatih Ocak |
| collection | DOAJ |
| description | As a country located in the Mediterranean climate zone, hundreds of forest fires occur every year in Türkiye and these fires cause many damages. Preventing forest fires is as important as reducing fire damage in reducing this damage. Therefore, areas susceptible to forest fire should be identified before a possible fire, both for early fire detection and early intervention and for reducing destruction. In this context, this study was carried out to determine the damage caused by the forest fire that occurred in Aydıncık district of Mersin in July 2021 and to identify fire-sensitive areas. In the first part of the study, NDVI (Normalized Difference Vegetation Index), NBR (Normalized Burn Ratio) and dNBR (Differenced Normalized Burn Ratio) indices were calculated using Landsat 8 OLI/TIRS satellite images to determine the difference between before and after the fire with Remote Sensing (RS) techniques. In the second part of the study, forest fire susceptibility areas were identified, and a Geographic Information Systems (GIS) supported forest fire susceptibility map of Aydıncık district was created. According to the NDVI index, it was determined that bare land and settlements increased from 13.43% in 2020 to 23.02% in 2021, and there was a decrease in areas with different forest densities. According to the dNBR index results, it was determined that 27.67% (12,153.83 ha) was moderately-highly damaged by fire and there were losses in areas with different plant densities. In addition, according to the forest fire susceptibility analysis, it was determined that the area showed 7.82% very low, 22.46% low, 28.65% medium, 28.56% high and 12.50% very high susceptibility. |
| format | Article |
| id | doaj-art-99a0f77ad6b940a5b784cd31bf3565e6 |
| institution | Kabale University |
| issn | 2528-9640 |
| language | English |
| publishDate | 2024-07-01 |
| publisher | Artvin Coruh University |
| record_format | Article |
| series | Doğal Afetler ve Çevre Dergisi |
| spelling | doaj-art-99a0f77ad6b940a5b784cd31bf3565e62025-02-02T06:24:57ZengArtvin Coruh UniversityDoğal Afetler ve Çevre Dergisi2528-96402024-07-0110234436410.21324/dacd.1419616Determination of Fire Damage and Fire Susceptible Areas Using Remote Sensing and Geographic Information Systems: A Case Study Aydıncık (Mersin) District, TürkiyeFatih Ocak0https://orcid.org/0000-0002-1088-3762Feride Cesur1https://orcid.org/0000-0001-8379-8801Amira İsmail Aden2https://orcid.org/0009-0000-9314-4844Sevim Keklik3https://orcid.org/0009-0002-7767-1825Samsun ÜniversitesiAnkara Kız Anadolu İmam Hatip LisesiProf. Dr. Necmettin Erbakan Anadolu İmam Hatip LisesiProf. Dr. Necmettin Erbakan Anadolu İmam Hatip LisesiAs a country located in the Mediterranean climate zone, hundreds of forest fires occur every year in Türkiye and these fires cause many damages. Preventing forest fires is as important as reducing fire damage in reducing this damage. Therefore, areas susceptible to forest fire should be identified before a possible fire, both for early fire detection and early intervention and for reducing destruction. In this context, this study was carried out to determine the damage caused by the forest fire that occurred in Aydıncık district of Mersin in July 2021 and to identify fire-sensitive areas. In the first part of the study, NDVI (Normalized Difference Vegetation Index), NBR (Normalized Burn Ratio) and dNBR (Differenced Normalized Burn Ratio) indices were calculated using Landsat 8 OLI/TIRS satellite images to determine the difference between before and after the fire with Remote Sensing (RS) techniques. In the second part of the study, forest fire susceptibility areas were identified, and a Geographic Information Systems (GIS) supported forest fire susceptibility map of Aydıncık district was created. According to the NDVI index, it was determined that bare land and settlements increased from 13.43% in 2020 to 23.02% in 2021, and there was a decrease in areas with different forest densities. According to the dNBR index results, it was determined that 27.67% (12,153.83 ha) was moderately-highly damaged by fire and there were losses in areas with different plant densities. In addition, according to the forest fire susceptibility analysis, it was determined that the area showed 7.82% very low, 22.46% low, 28.65% medium, 28.56% high and 12.50% very high susceptibility.https://dacd.artvin.edu.tr/tr/download/article-file/3659269remote sensinggeographic information systemsndvi-nbr-dnbrforest fire damageahpsusceptibility |
| spellingShingle | Fatih Ocak Feride Cesur Amira İsmail Aden Sevim Keklik Determination of Fire Damage and Fire Susceptible Areas Using Remote Sensing and Geographic Information Systems: A Case Study Aydıncık (Mersin) District, Türkiye Doğal Afetler ve Çevre Dergisi remote sensing geographic information systems ndvi-nbr-dnbr forest fire damage ahp susceptibility |
| title | Determination of Fire Damage and Fire Susceptible Areas Using Remote Sensing and Geographic Information Systems: A Case Study Aydıncık (Mersin) District, Türkiye |
| title_full | Determination of Fire Damage and Fire Susceptible Areas Using Remote Sensing and Geographic Information Systems: A Case Study Aydıncık (Mersin) District, Türkiye |
| title_fullStr | Determination of Fire Damage and Fire Susceptible Areas Using Remote Sensing and Geographic Information Systems: A Case Study Aydıncık (Mersin) District, Türkiye |
| title_full_unstemmed | Determination of Fire Damage and Fire Susceptible Areas Using Remote Sensing and Geographic Information Systems: A Case Study Aydıncık (Mersin) District, Türkiye |
| title_short | Determination of Fire Damage and Fire Susceptible Areas Using Remote Sensing and Geographic Information Systems: A Case Study Aydıncık (Mersin) District, Türkiye |
| title_sort | determination of fire damage and fire susceptible areas using remote sensing and geographic information systems a case study aydincik mersin district turkiye |
| topic | remote sensing geographic information systems ndvi-nbr-dnbr forest fire damage ahp susceptibility |
| url | https://dacd.artvin.edu.tr/tr/download/article-file/3659269 |
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