The Performance of Hyperspectral Measurements Integrated into Multispectral Data on the Detection of the Alpine Chromite Deposits in the Ophiolite Complexes

dc.authorid0000-0002-8161-1326tr
dc.contributor.authorCanbaz, Oktay
dc.date.accessioned2024-03-07T08:06:06Z
dc.date.available2024-03-07T08:06:06Z
dc.date.issuedEylül 2023tr
dc.departmentMühendislik Fakültesitr
dc.description.abstractIntense tectonic activities and alterations in ophiolites of the Alpine-Himalayan Orogeny Belt complicate the delineation and mapping of chromite-bearing rocks by traditional geology surveys. This study tests the performance of ASTER-based remote sensing in a region covered by ophiolite rocks with complex geology, alteration, and intense tectonism in Eastern-Central Anatolia. Today, there are many chromite deposits and detected mineralizations in the study area. The fact that there was almost no chromite mining activity in the study area at the acquisition date of the ASTER data, highlights the usability of the results of the remote sensing methods and techniques applied in the study for mineral exploration activities. According to field surveys, petrographic examinations, and ore microscopy, the ophiolite rocks consist of serpentinized peridotite, harzburgite, dunite, diabase, and gabbro. Chromite mineralizations occur in dunites such as disseminated, banded, and lens-shaped. Hyperspectral signatures obtained from the representative rock and mineralization samples using ASD FieldSpec 4 Hi-Res have been integrated into the advanced spaceborne thermal emission and reflection radiometer (ASTER) multispectral satellite data. This study shows the performance of image enhancement techniques such as band ratio, minimum noise fraction (MNF), and spectral classification such as matched filtering (MF). The boundaries of ophiolite rocks with band ratio techniques are distinguished at the regional scale of the boundaries of sedimentary and igneous rocks, but sub-ophiolite rock units are not distinctly appearing within the ophiolite rocks. The MNF results can distinguish chromite-bearing rocks from the other rocks, although the boundaries of the rocks are not very distinct. The MF results map the sub-ophiolite units with high accuracy, except for the diabase dykes. The MF results have an overall accuracy of over 84% and a kappa coefficient of 0.74. Most of the chromite-bearing sites identified in the MF are currently being operated as chromite deposits. Consequently, this study shows that the MF spectral classification can be high performance in the delineation of chromite-bearing rocks in the ophiolite complexes.tr
dc.identifier.citationCanbaz, O. The Performance of Hyperspectral Measurements Integrated into Multispectral Data on the Detection of the Alpine Chromite Deposits in the Ophiolite Complexes. Geol. Ore Deposits 65, 381–394 (2023). https://doi.org/10.1134/S1075701523040025tr
dc.identifier.doi10.1134/S1075701523040025en_US
dc.identifier.endpage394tr
dc.identifier.issue4tr
dc.identifier.scopus2-s2.0-85171543469en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage381tr
dc.identifier.urihttps://link.springer.com/article/10.1134/S1075701523040025
dc.identifier.urihttps://hdl.handle.net/20.500.12418/14864
dc.identifier.volume65tr
dc.identifier.wosWOS:001078554900006en_US
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPleiades Publishingtr
dc.relation.ispartofGeology of Depositsen_US
dc.relation.publicationcategoryUluslararası Hakemli Dergide Makale - Kurum Öğretim Elemanıtr
dc.rightsinfo:eu-repo/semantics/closedAccesstr
dc.subjectchromite deposits, remote sensing image enhancement, spectral measurements, spectral classification, Sivastr
dc.titleThe Performance of Hyperspectral Measurements Integrated into Multispectral Data on the Detection of the Alpine Chromite Deposits in the Ophiolite Complexesen_US
dc.typeArticleen_US

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