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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


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.

Original languageEnglish
Article number368
JournalISPRS International Journal of Geo-Information
Issue number6
Publication statusPublished - Jun 2021

Bibliographical note

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


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

FundersFunder number
King Saud University


    • Adıyaman fault zone
    • Eastern Turkey
    • Lithologic and tectonic mapping
    • Minimum noise fraction analysis
    • Principal and independent component analysis


    Dive into the research topics of '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'. Together they form a unique fingerprint.

    Cite this