Distribution of rocks in Pınarbaşı Ophiolite from central Anatolia (Turkey) based on analysis of ASTER and Landsat‐8 data

Abstract

The Late Cretaceous Pınarbaşı Ophiolite (PO), located at central Turkey is represented by distinct rock types (e.g., harzburgite, dunite, pyroxenite, gabbro) that can be observed in many ophiolites around the world. In this study, the classification of rock types of PO in the Eastern Tauride Belt (Turkey) was made using the advanced spaceborne thermal emission and reflection radiometer and Landsat-8 satellite images. The developed colour-band ratio composite images together with principal component analysis and minimum noise fraction transformations implemented to the remote sensing data efficiently delineate the spatial distribution of pyroxenites, metamorphic sole rocks, and gabbros in the study area. In addition, a body of serpentinized dunites, pyroxenites, metamorphic sole rocks, and listwaenites that has not been recognized before was identified within PO using remote sensing techniques. The promising results of the image processing were verified by detailed field observations and petrographic analysis. The satellite-based remote sensing approaches of this work can be applicable for mapping ophiolitic rock types in PO in particular as well as other ophiolites from similar geographical regions around the world.

Lithological mapping using remote sensing techniques: A case study of Alagbayan area, Dornogobi province, Mongolia

“…Principal component analysis (PCA) is one of the most effective processing methods of multispectral data which is widely used in geological studies and lineaments mapping (Adiri et al, 2016;Amer et al, 2010;Bentahar et al, 2020;Çörtük et al, 2020). It operates the information in the original raw image to a smaller number of bands called principal components (PCs) (Sabins, 1987;Adiri et al, 2016).…”

“…Band ratio (BR) is a very effective method for increasing the contrast of particular features which could not be distinguished from the original image data (Rowan and Mars, 2003;Çörtük et al, 2020). Therefore, this method is widely used in lithological and alteration mapping (Rowan and Mars 2003;Adiri et al 2016, Pour et al, 2019.…”

Geospatial Insights into Ophiolitic Complexes in the Cimmerian Realm of the Afghan Central Block (Middle Afghanistan)

“…Utilizing the spectral attributes of mafic-ultramafic rocks and their alteration minerals, the prevailing band ratios commonly referenced in the literature for ASTER data encompass: 5/7, 4/5, 3/1, 4/7, 4/1, 3/5, 7/6, 3/4 [16,34,58,59].…”

Synergetic use of the Sentinel-2, ASTER, and Landsat-8 data for hydrothermal alteration and iron oxide minerals mapping in a mine scale

“…After placing Terra satellite in its orbit, the ASTER multispectral data have extensively been used in mineralogical and lithological studies (Rowan et al, 2003;Özkan et al, 2018;Çörtük et al, 2020). Although important rock-forming minerals (e.g., quartz and feldspar) do not exhibit absorption features in the VNIR and SWIR regions, most of them display fundamental molecular absorption features in the TIR wavelength region (Rowan and Mars, 2003;Mars and Rowan, 2010).…”

“…After launching Landsat-8, many papers relevant to this field of research have been published confirming its world while application in mapping of lithology and hydrothermal alteration zones (Beiranvandpour and Hashim, 2015;He et al, 2015;Çörtük et al, 2020). The Landsat-8 data can detect the hydrothermal alteration types and iron oxidehydroxide minerals due to the absorption and reflectance characteristics of these minerals through the OLI (Operational Land Imager) sensor with two spectral bands in the shortwave infrared (SWIR) and 5 bands in the visible near infrared (VNIR) (Aryanmehr et al, 2018).…”