Lithological mapping for complex geological formations with mixed classifiers using Landsat 8 data

The present work reveals the potential of Landsat 8 and ASTER imagery in the lithological discrimination and lineaments extraction in the region of Tiwit (Jbel Saghro). Various remote sensing and image processing techniques were applied to the Landsat 8 and ASTER scenes: False-color composites (RGB 751 & 531), Principal Component Analysis (PCA 653 & 821), Minimum Noise Fraction (MNF 643 & 541), and Independent Component Analysis (ICA 137 & 235). These techniques discriminate the granitic formations (Isk-n-Alla, Mimasmarane, Ibantarn, and Ikniwn), the rhyolitic and ignimbrite formation (Amtattouch, Ouzarzamand Assaka), and other various rock types (aphanitic basalts, sandstones, conglomerates, etc.). The automatic and manual lineaments extraction methods highlight the major lineaments in the study area, trending NE-SW, E-W, and ENE-WSW. The obtained results are consistent with the geologic map of Tiwit. Maximum Likelihood, Spectral Angle Mapper, and Mahalanobis distance classi ers show an overall accuracy of 88%, 56%, and 82.6%, respectively, for Landsat 8. ASTER data show a better result in classi cation with an overall accuracy of 90.6%, 84%, and 88% for the same classi ers.

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Lithological discrimination and structural lineaments extraction using Landsat 8 and ASTER data: a case study of Tiwit (Anti-Atlas, Morocco)

Marzouki

Dridri

2023

Environ Earth Sci

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Image Processing of Landsat-8 OLI Satellite Data for Mapping of Alkaline-Carbonatite Complex, Southern India

Ranjithkumar,

Anbazhagan,

Tamilarasan

2024

Remote Sens Earth Syst Sci

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The alkaline-carbonatite igneous intrusion occupies a very less aerial extent on the earth's surface; however, it is an important source rock for REE, LILE and radioactive elements. The origin of the alkaline-carbonatite suite is always related to tectonic settings such as continental drift and suture zone. In this context, the Samalpatti and Sevathur alkaline-carbonatite complex is an area of interest among various geoscientists. The moderate resolution Landsat-8 OLI satellite data is digitally processed using ENVI 5.3 image processing software for the interpretation of various lithology in the terrain. The Samalpatti-Sevathur complex is covered by different rock types including syenite, pyroxenites, dunite, carbonatite, and epidote hornblende gneiss. The carbonatites are emplaced as elongated bodies, dykes and scattered nodules in ultrama c formation. The mapping of ultrama c formations is important, since it contains carbonatite emplacement in the complex. The seven band OLI data covered under the visible, near infrared, and shortwave infrared spectrum were processed for the generation of colour composite images, band ratios, principle component analysis (PCA) images, and support vector machine (SVM) classi ed output. The digitally processed satellite images are useful in the interpretation of different rock types, particularly the ultrama c formation. Out of various outputs, the FCC, the composite image B652, colour composite images from ratio output, PCA composite images in RGB lters, and SVM classi ed image are suitable for interpretation of different lithology in the terrain.

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Integration of Landsat-8 and Sentinel-1 dataset to extract geological lineaments in complex formations of Tepal mountain area, Shahrood, north Iran

Ranjbari

Vagheei

Salehi

2023

Advances in Space Research

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Lithological mapping for complex geological formations with mixed classifiers using Landsat 8 data

Cited by 4 publications

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Lithological discrimination and structural lineaments extraction using Landsat 8 and ASTER data: a case study of Tiwit (Anti-Atlas, Morocco)

Lithological discrimination and structural lineaments extraction using Landsat 8 and ASTER data: a case study of Tiwit (Anti-Atlas, Morocco)

Image Processing of Landsat-8 OLI Satellite Data for Mapping of Alkaline-Carbonatite Complex, Southern India

Integration of Landsat-8 and Sentinel-1 dataset to extract geological lineaments in complex formations of Tepal mountain area, Shahrood, north Iran

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