Analysis and Detection of Mucilage Bloom from Multispectral Satellite Images

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dc.authorid0000-0001-8609-5378
dc.contributor.authorKucuk, Sefa
dc.contributor.authorAbaci, Bahri
dc.contributor.authorDede, Murat
dc.contributor.authorYuksel, Seniha Esen
dc.contributor.authorYilmaz, Mete
dc.date.accessioned2026-02-12T21:04:55Z
dc.date.available2026-02-12T21:04:55Z
dc.date.issued2022
dc.departmentBursa Teknik Üniversitesi
dc.description30th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2022 -- Safranbolu, TURKEY
dc.description.abstractIn this paper, we aim to detect and observe the mucilage formations in the Sea of Marmara by means of Sentinel-2A satellite data. For this purpose, we produce mucilage index maps by utilizing the relationship between the spectral bands of Sentinel-2A. Sentinel-2A has four 10m fine bands and six 20m coarse bands. To compute the mucilage index, the spectral bands must have the same spatial resolution. Although the Sentinel-2A does not have a panchromatic band, the spatial resolution of the 20m bands can be increased to 10m thanks to its four fine bands. Based on the results of this analysis, we utilize seven of the existing image fusion approaches to enhance the spatial resolution of 20m bands to 10m. We monitor changes in mucilage formations over time with the mucilage maps acquired by using fused images through the mucilage index.
dc.description.sponsorshipIEEE,IEEE Turkey Sect,Bahcesehir Univ
dc.identifier.doi10.1109/SIU55565.2022.9864988
dc.identifier.isbn978-1-6654-5092-8
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85138755267
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU55565.2022.9864988
dc.identifier.urihttps://hdl.handle.net/20.500.12885/6724
dc.identifier.wosWOS:001307163400326
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIeee
dc.relation.ispartof2022 30Th Signal Processing and Communications Applications Conference, Siu
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260212
dc.subjectFusion
dc.subjectmucilage
dc.subjectSentinel-2A
dc.subjectremote sensing
dc.titleAnalysis and Detection of Mucilage Bloom from Multispectral Satellite Images
dc.typeConference Object

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