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dc.contributor.authorBoteva, Silvena
dc.contributor.authorElhag, Mohamed
dc.contributor.authorYimaz, Neşe
dc.contributor.authorBahrawi, Jarbou
dc.date.accessioned2021-03-02T16:00:33Z
dc.date.available2021-03-02T16:00:33Z
dc.date.issued2020
dc.identifier.citationElhag M., Yimaz N., Bahrawi J., Boteva S., "Evaluation of Optical Remote Sensing Data in Burned Areas Mapping of Thasos Island, Greece", Earth Systems and Environment, cilt.4, ss.813-826, 2020
dc.identifier.othervv_1032021
dc.identifier.otherav_f18e2a1b-1669-4280-a8b0-833ed2f36608
dc.identifier.urihttp://hdl.handle.net/20.500.12627/2062
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85097661022&origin=inward
dc.identifier.urihttps://doi.org/10.1007/s41748-020-00195-1
dc.description.abstract© 2020, The Author(s).Forest fires are a common feature in the Mediterranean forests through the years, as a wide tract of forest fortune is lost because of the incendiary fires in the forests. The enormous damages caused by forest fires enhanced the efforts of scientists towards the attenuation of the negative effects of forest fire and consequently the minimization of biodiversity losses by searching more for the adequate distribution of attempts on forest fire prevention and, suppression. The multi-temporal Principal Components Analysis is applied to a pair of images of consecutive years obtained from Landsat-8 satellite to unconventional map and assess the spatial extent of the burned areas on the island of Thasos, Greece. First, the PCA was applied on the before fire image, and then a multi-temporal image is created from the 3rd, 4th, and 5th band of before and after images including Normalized Difference Vegetation Index to enhance the results. The results from the different steps of this analysis robustly mapped the burned areas by 82.28 ha confirmed by almost 85%. Are compared with data provided by the local forest service in order to assess their accuracy. The multi-temporal PCA outputs including NDVI (PC 4, PC %, and PC 6) give better accuracy due to its ability to distinguish the burned areas of older years and to the Normalized Difference Vegetation Index that gives better variance to the image.
dc.language.isoeng
dc.subjectBilgisayar Grafiği
dc.subjectMühendislik ve Teknoloji
dc.subjectGlobal and Planetary Change
dc.subjectPhysical Sciences
dc.subjectEnvironmental Science (miscellaneous)
dc.subjectGeology
dc.subjectComputers in Earth Sciences
dc.subjectEconomic Geology
dc.subjectTarım ve Çevre Bilimleri (AGE)
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectTemel Bilimler (SCI)
dc.subjectÇevre / Ekoloji
dc.subjectBilgisayar Bilimi
dc.subjectYerbilimleri
dc.subjectÇEVRE BİLİMLERİ
dc.subjectBİLGİSAYAR BİLİMİ, İNTERDİSİPLİNER UYGULAMALAR
dc.subjectJEOKİMYA VE JEOFİZİK
dc.subjectYER BİLİMİ, MULTİDİSİPLİNER
dc.subjectJEOLOJİ
dc.subjectTarımsal Bilimler
dc.subjectÇevre Mühendisliği
dc.subjectJeofizik Mühendisliği
dc.subjectJeoloji Mühendisliği
dc.subjectBilgisayar Bilimleri
dc.titleEvaluation of Optical Remote Sensing Data in Burned Areas Mapping of Thasos Island, Greece
dc.typeMakale
dc.relation.journalEarth Systems and Environment
dc.contributor.departmentKing Abdulaziz University , ,
dc.identifier.volume4
dc.identifier.issue4
dc.identifier.startpage813
dc.identifier.endpage826
dc.contributor.firstauthorID2489813


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