Investigation of Burned Areas With Multiplatform Remote Sensing Data on the Rhodes 2023 Forest Fires
| dc.contributor.author | Bilgehan, Makineci, H. | |
| dc.date.accessioned | 2024-08-10T13:37:28Z | |
| dc.date.available | 2024-08-10T13:37:28Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Remote sensing (RS) data is an essential tool to quickly detect the effects on the environment of significant forest fires that occur every year. The motivation of this research was to detect the burned areas with RS data quickly after the Rhodes 2023 Forest Fire. For this purpose, optical sensing systems and microwave sensing systems were used. In addition, the Sentinel-5P dataset was preferred to determine the difference due to harmful gases in the atmosphere and to link it with forest fires. Sentinel-2A and Sentinel-2B data enable change detection by creating the Enhanced Vegetation Index (EVI), Normalized Burn Ratio (NBR), and Normalized Difference Water Index (NDWI). As a result, it was determined that approximately 18,900 Ha of forest area was burned or bared. According to the CORINE 2018 burned forest area was approximately one-fifth of the total forest area. © 2024 THE AUTHOR | en_US |
| dc.description.sponsorship | European Space Agency, ESA | en_US |
| dc.identifier.doi | 10.1016/j.asej.2024.102949 | |
| dc.identifier.issn | 2090-4479 | |
| dc.identifier.scopus | 2-s2.0-85198093410 | |
| dc.identifier.uri | https://doi.org/10.1016/j.asej.2024.102949 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.13091/6073 | |
| dc.language.iso | en | en_US |
| dc.publisher | Ain Shams University | en_US |
| dc.relation.ispartof | Ain Shams Engineering Journal | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Burned Area Detection; CORINE 2018; Forest Fires; Multiplatform Remote Sensing; The Rhodes Island 2023 Forest Fires | en_US |
| dc.subject | Fire hazards; Fires; Optical remote sensing; Area detection; Burned area detection; Burned areas; CORINE 2018; Forest fires; Multi-platform; Multiplatform remote sensing; Remote-sensing; Rhode Island; The rhode island 2023 forest fire; Deforestation | en_US |
| dc.title | Investigation of Burned Areas With Multiplatform Remote Sensing Data on the Rhodes 2023 Forest Fires | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Bilgehan, Makineci, H. | |
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| gdc.coar.type | text::journal::journal article | |
| gdc.description.department | KTÜN | en_US |
| gdc.description.departmenttemp | Bilgehan Makineci, H., Konya Technical University, Geomatics Engineering Department, Konya, Turkey | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q1 | |
| gdc.description.startpage | 102949 | |
| gdc.description.volume | 15 | |
| gdc.description.wosquality | Q1 | |
| gdc.identifier.openalex | W4400460482 | |
| gdc.identifier.wos | WOS:001319167000001 | |
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| gdc.oaire.keywords | The Rhodes Island 2023 Forest Fires | |
| gdc.oaire.keywords | Forest Fires | |
| gdc.oaire.keywords | CORINE 2018 | |
| gdc.oaire.keywords | TA1-2040 | |
| gdc.oaire.keywords | Engineering (General). Civil engineering (General) | |
| gdc.oaire.keywords | Burned Area Detection | |
| gdc.oaire.keywords | Multiplatform Remote Sensing | |
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| gdc.virtual.author | Makineci, Hasan Bilgehan | |
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