Publication:
Assessing the Environmental Impacts of the Capilla Del Monte Wildfire in Punilla Valley of Argentina Using Landsat-9 and Sentinel-5P

dc.authorscopusid57909507100
dc.authorscopusid60010035500
dc.authorscopusid57210930032
dc.authorwosidDogan, Tugba/Kda-6028-2024
dc.authorwosidYılğan, Furkan/Lxa-0982-2024
dc.contributor.authorYilgan, Furkan
dc.contributor.authorYildiz, Nilay
dc.contributor.authorDogan, Tugba
dc.contributor.authorIDYılğan, Furkan/0000-0002-4995-5567
dc.date.accessioned2025-12-11T01:11:29Z
dc.date.issued2025
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Yilgan, Furkan] Czech Univ Life Sci Prague, Dept Soil Sci & Soil Protect, Fac Agrobiol Food & Nat Resources, Prague, Czech Republic; [Yildiz, Nilay] Ondokuz Mayis Univ, Grad Sch, Samsun, Turkiye; [Dogan, Tugba] Czech Univ Life Sci Prague, Fac Environm Sci, Prague, Czech Republicen_US
dc.descriptionYılğan, Furkan/0000-0002-4995-5567;en_US
dc.description.abstractWildfires are a growing environmental concern due to rapid population growth, urbanization, and human activities, which contribute to climate change, causing wildfires that damage ecosystems and the environment. Wildfires destroy the vegetation cover, habitat of habitants and cause soil deterioration by changing the soil structure. In addition, toxic gases released into the atmosphere during fires threaten the lives of habitants. The effects of the forest fire that occurred on 19th September 2024 around Capilla del Monte in the Punilla Valley were analyzed using spectral indices. Landsat-9 data were used to detect changes in vegetation cover, land surface temperature (LST), and soil moisture by comparing the pre- and post-fire satellite images, while Sentinel-5P TROPOMI satellite data were used to extract the concentration of nitrogen dioxide (NO2) and carbon monoxide (CO) gases. Overall accuracy of the LST was found using a reference data MODIS daily LST, and a positive correlation (r = 0.94) found between the two datasets. In addition, the burned areas were estimated using the dNBR index as well as random forest (RF) and support vector machine (SVM) classification methods. The results showed that vegetation cover increased by 35%, the average soil moisture decreased by approximately 16%, and the average LST increased by 9.5% from October 2023 to November 2024 in the region. The burned area was estimated as 387.9 km2 using dNBR, while it was 392.4 km2 by RF and 389.5 km2 by SVM in the study area. The study found high NO2 and CO concentrations after the Punilla Valley fire, threatening inhabitants.en_US
dc.description.sponsorshipCzechELib Transformative Agreementen_US
dc.description.sponsorshipOpen access publishing supported by the institutions participating in the CzechELib Transformative Agreement.en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.doi10.1007/s10661-025-14374-y
dc.identifier.issn0167-6369
dc.identifier.issn1573-2959
dc.identifier.issue8en_US
dc.identifier.pmid40699457
dc.identifier.scopus2-s2.0-105011350299
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1007/s10661-025-14374-y
dc.identifier.urihttps://hdl.handle.net/20.500.12712/41989
dc.identifier.volume197en_US
dc.identifier.wosWOS:001534301000001
dc.identifier.wosqualityQ3
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofEnvironmental Monitoring and Assessmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAir Qualityen_US
dc.subjectGoogle Earth Engineen_US
dc.subjectNatural Hazardsen_US
dc.subjectPunilla Valleyen_US
dc.subjectRemote Sensingen_US
dc.subjectWildfireen_US
dc.titleAssessing the Environmental Impacts of the Capilla Del Monte Wildfire in Punilla Valley of Argentina Using Landsat-9 and Sentinel-5Pen_US
dc.typeArticleen_US
dspace.entity.typePublication

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