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

Abdelrahman Khalifa*, Bashar Bashir, Ziyadin Çakir, Şinasi Kaya, Abdullah Alsalman, Ahmed Henaish

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Makalebilirkişi

17 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Makale numarası368
DergiISPRS International Journal of Geo-Information
Hacim10
Basın numarası6
DOI'lar
Yayın durumuYayınlandı - Haz 2021

Bibliyografik not

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Finansman

Funding: This work is supported by the Researchers Supporting Project, grant number RSP-2020/296, King Saud University, Riyadh, Saudi Arabia.

FinansörlerFinansör numarası
King Saud University

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