Mapping burn severity and monitoring CO content in Türkiye’s 2021 Wildfires, using Sentinel-2 and Sentinel-5P satellite data on the GEE platform

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dc.contributor.authorYilmaz O.S.
dc.contributor.authorAcar U.
dc.contributor.authorSanli F.B.
dc.contributor.authorGulgen F.
dc.contributor.authorAtes A.M.
dc.date.accessioned2024-07-22T08:03:08Z
dc.date.available2024-07-22T08:03:08Z
dc.date.issued2023
dc.description.abstractThis study investigated forest fires in the Mediterranean of Türkiye between July 28, 2021, and August 11, 2021. Burn severity maps were produced with the difference normalised burned ratio index (dNBR) and difference normalised difference vegetation index (dNDVI) using Sentinel-2 images on the Google Earth Engine (GEE) cloud platform. The burned areas were estimated based on the determined burning severity degrees. Vegetation density losses in burned areas were analysed using the normalised difference vegetation index (NDVI) time series. At the same time, the post-fire Carbon Monoxide (CO) column number densities were determined using the Sentinel-5P satellite data. According to the burn severity maps obtained with dNBR, the sum of high and moderate severity areas constitutes 34.64%, 20.57%, 46.43%, 51.50% and 18.88% of the entire area in Manavgat, Gündoğmuş, Marmaris, Bodrum and Köyceğiz districts, respectively. Likewise, according to the burn severity maps obtained with dNDVI, the sum of the areas of very high severity and high severity constitutes 41.17%, 30.16%, 30.50%, 42.35%, and 10.40% of the entire region, respectively. In post-fire NDVI time series analyses, sharp decreases were observed in NDVI values from 0.8 to 0.1 in all burned areas. While the Tropospheric CO column number density was 0.03 mol/m2 in all regions burned before the fire, it was observed that this value increased to 0.14 mol/m2 after the fire. Moreover, when the area was examined more broadly with Sentinel 5P data, it was observed that the amount of CO increased up to a maximum value of 0.333 mol/m2. The results of this study present significant information in terms of determining the severity of forest fires in the Mediterranean region in 2021 and the determination of the CO column number density after the fire. In addition, monitoring polluting gases with RS techniques after forest fires is essential in understanding the extent of the damage they can cause to the environment. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
dc.identifier.DOI-ID10.1007/s12145-023-00933-9
dc.identifier.issn18650473
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/12149
dc.language.isoEnglish
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.rightsAll Open Access; Bronze Open Access; Green Open Access
dc.subjectTurkey
dc.subjectburning
dc.subjectcarbon monoxide
dc.subjectcloud
dc.subjectenvironmental monitoring
dc.subjectforest fire
dc.subjectmapping method
dc.subjectNDVI
dc.subjectsatellite data
dc.subjectSentinel
dc.subjectsoftware
dc.subjecttime series analysis
dc.subjectwildfire
dc.titleMapping burn severity and monitoring CO content in Türkiye’s 2021 Wildfires, using Sentinel-2 and Sentinel-5P satellite data on the GEE platform
dc.typeArticle

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