Spectral classification of diverse lithologies using multi- and hyperspectral satellite data: a comparative study.
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| Title: | Spectral classification of diverse lithologies using multi- and hyperspectral satellite data: a comparative study. |
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| Authors: | GÜRSOY, Önder1, ÖZELKAN, Emre2, ATUN, Rutkay1 ratun@cumhuriyet.edu.tr, ÇALIŞKAN, Ayşe Betül3, EFE, Ahmet4 |
| Source: | Turkish Journal of Earth Sciences. 2026, Vol. 35 Issue 3, p303-317. 15p. |
| Subjects: | Multispectral imaging, Matched filters, Hyperspectral imaging systems, Geological mapping, Petrology, Remote sensing |
| Geographic Terms: | Türkiye |
| Abstract: | Accurate lithological mapping requires selecting the appropriate remote sensing data and classification methods. This study evaluates the performance of four satellite datasets—Landsat 8 OLI, Sentinel-2A, ASTER, and Hyperion EO-1—using three spectral classification techniques: Matched Filtering (MF), Spectral Angle Mapper (SAM), and Spectral Information Divergence (SID). The study area is located between the Zara and Koyulhisar districts in eastern Türkiye and comprises diverse lithological units. A total of 49 rock samples collected in the field were used for validation. The results indicate that MF consistently outperformed the other methods, achieving the highest accuracy with Landsat 8 (Kappa = 94.2%). ASTER data demonstrated strong capability in distinguishing lithologies with subtle spectral differences, particularly due to its SWIR bands. Meanwhile, Sentinel-2A provided improved spatial delineation. Despite its high spectral resolution, Hyperion showed limited performance in separating spectrally similar units. Misclassification was primarily associated with lithologies that had similar mineralogical compositions and terrain-related effects. The results demonstrate the efficacy of MF in conjunction with multispectral data for lithological mapping and underscore the significance of selecting suitable data–method combinations in geologically complex regions. [ABSTRACT FROM AUTHOR] |
| Copyright of Turkish Journal of Earth Sciences is the property of Scientific and Technical Research Council of Turkey and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194017269 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Spectral classification of diverse lithologies using multi- and hyperspectral satellite data: a comparative study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22GÜRSOY%2C+Önder%22">GÜRSOY, Önder</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22ÖZELKAN%2C+Emre%22">ÖZELKAN, Emre</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22ATUN%2C+Rutkay%22">ATUN, Rutkay</searchLink><relatesTo>1</relatesTo><i> ratun@cumhuriyet.edu.tr</i><br /><searchLink fieldCode="AR" term="%22ÇALIŞKAN%2C+Ayşe+Betül%22">ÇALIŞKAN, Ayşe Betül</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22EFE%2C+Ahmet%22">EFE, Ahmet</searchLink><relatesTo>4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Turkish+Journal+of+Earth+Sciences%22">Turkish Journal of Earth Sciences</searchLink>. 2026, Vol. 35 Issue 3, p303-317. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Multispectral+imaging%22">Multispectral imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Matched+filters%22">Matched filters</searchLink><br /><searchLink fieldCode="DE" term="%22Hyperspectral+imaging+systems%22">Hyperspectral imaging systems</searchLink><br /><searchLink fieldCode="DE" term="%22Geological+mapping%22">Geological mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Petrology%22">Petrology</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Türkiye%22">Türkiye</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Accurate lithological mapping requires selecting the appropriate remote sensing data and classification methods. This study evaluates the performance of four satellite datasets—Landsat 8 OLI, Sentinel-2A, ASTER, and Hyperion EO-1—using three spectral classification techniques: Matched Filtering (MF), Spectral Angle Mapper (SAM), and Spectral Information Divergence (SID). The study area is located between the Zara and Koyulhisar districts in eastern Türkiye and comprises diverse lithological units. A total of 49 rock samples collected in the field were used for validation. The results indicate that MF consistently outperformed the other methods, achieving the highest accuracy with Landsat 8 (Kappa = 94.2%). ASTER data demonstrated strong capability in distinguishing lithologies with subtle spectral differences, particularly due to its SWIR bands. Meanwhile, Sentinel-2A provided improved spatial delineation. Despite its high spectral resolution, Hyperion showed limited performance in separating spectrally similar units. Misclassification was primarily associated with lithologies that had similar mineralogical compositions and terrain-related effects. The results demonstrate the efficacy of MF in conjunction with multispectral data for lithological mapping and underscore the significance of selecting suitable data–method combinations in geologically complex regions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Turkish Journal of Earth Sciences is the property of Scientific and Technical Research Council of Turkey and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.55730/1300-0985.2020 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 303 Subjects: – SubjectFull: Multispectral imaging Type: general – SubjectFull: Matched filters Type: general – SubjectFull: Hyperspectral imaging systems Type: general – SubjectFull: Geological mapping Type: general – SubjectFull: Petrology Type: general – SubjectFull: Remote sensing Type: general – SubjectFull: Türkiye Type: general Titles: – TitleFull: Spectral classification of diverse lithologies using multi- and hyperspectral satellite data: a comparative study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: GÜRSOY, Önder – PersonEntity: Name: NameFull: ÖZELKAN, Emre – PersonEntity: Name: NameFull: ATUN, Rutkay – PersonEntity: Name: NameFull: ÇALIŞKAN, Ayşe Betül – PersonEntity: Name: NameFull: EFE, Ahmet IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13000985 Numbering: – Type: volume Value: 35 – Type: issue Value: 3 Titles: – TitleFull: Turkish Journal of Earth Sciences Type: main |
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