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Paradigm of Geological Mapping of the Adıyaman Fault Zone of Eastern Turkey Using Landsat 8 Remotely Sensed Data Coupled with PCA, ICA, and MNFA Techniques

Bibliographic Data

ID22034900
AuthorsAbdelrahman Khalifa (0000-0002-3606-9558, Al-Azhar University, corresponding author), Bashar Bashir (0000-0003-0384-9061, King Saud University), Ziyadin Çakir (0000-0003-3050-5619, Istanbul Technical University), Şinasi Kaya (0000-0002-4962-0492, Istanbul Technical University), Abdullah Alsalman (0000-0002-6655-5717, King Saud University), Ahmed Henaish (0000-0003-0442-2975, Zagazig University)
Year2021
Volume10
Issue6
Pages368
Publication date2021-05-30
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi10060368
OpenAlexW3169677723
LanguageEN
References cited26

A principal and independent component analysis (PCA and ICA) and a minimum noise fraction analysis (MNFA) were applied in this study to Landsat 8 Operational Land Imager (OLI) images along the Adıyaman fault zone in Eastern Turkey. These analyses indicated that the lithologic units, fault patterns, and the morphological and structural features can be mapped highly accurately by using spectral-matching techniques in regions where rocks are well exposed. An inspection of all possible band combinations indicated that the PCA 134 and 231 and the ICA 132 band combinations give the best false color composite images for identifying the lithological units and contacts. The findings of the MNFA band combinations show that the MNFA 521 band combination also is robust for discriminating the lithological units, particularly Quaternary clastic units (colluvium/alluvium). MNFA band 1 alone provides the best image for tracing the tectonic and structural elements in the study area. The new up-to-date lithologic map of the Adıyaman fault zone we produced upon the interpretation of the processed OLI images reveals several river channels that are offset and beheaded by the Adıyaman fault, which verifies its Quaternary activity. This study demonstrated that, when used with the OLI data, the PCA, ICA, and MNFA are very powerful for lithological and structural mapping in actively deforming tectonic zones and hence can be applied to other regions elsewhere in the world where the climate is arid to semiarid, and the vegetation cover is scarce

Alluvium · Geochemistry · Geologic map · Geomorphology · Lithology · Principal component analysis · Remote sensing · Seismology · Tectonics · Tracing · Geochemistry and Geologic Mapping · Remote-Sensing Image Classification · Soil Geostatistics and Mapping · Artificial Intelligence · Geology

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