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.
gdc.author.scopusid 59213014500
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
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gdc.coar.access metadata only access
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
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.impulse 2.0
gdc.oaire.influence 2.6365503E-9
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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
gdc.oaire.popularity 3.904234E-9
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gdc.plumx.mendeley 21
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gdc.scopus.citedcount 4
gdc.virtual.author Makineci, Hasan Bilgehan
gdc.wos.citedcount 3
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