Mapping Lithological Units of an Evaporite Formation using ASTER data: a Case Study from Zagros Fold Belt, SW Iran

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Validabadi Bozcheloei Khadijeh; Hashemi Tangestani Majid

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Journal Paper

Paper Information

Journal: JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES) Year:2024 | Volume:15 | Issue:2 Page(s): 637-648

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Information Journal Paper

Title

Mapping Lithological Units of an Evaporite Formation using ASTER data: a Case Study from Zagros Fold Belt, SW Iran

Author(s)

Validabadi Bozcheloei Khadijeh | Hashemi Tangestani Majid | Issue Writer Certificate

Keywords

ASTERQ4

EvaporiteQ4

Principal Component AnalysisQ4

Band ratioQ4

Abstract

Evaporites are sediments that chemically precipitate due to the evaporation of an aqueous solution. Most Evaporite formations, in addition to Evaporite minerals, include detrital rocks such as mudstone, marl, and siltstone. Principal Component Analysis (PCA), Directed Principal Component Analysis (DPCA), and Band ratio methods were applied to Advanced Space-borne Thermal Emission and Reflection Radiometer (ASTER) data for mapping the Gachsaran Evaporite formation and distinguishing its lithological units in the Masjed Soleiman oil field, located in southwestern Iran. This oil field was the first recognized oil field in the Middle East. Colour composites of PCs 4, 5, and 2, as RGB images, effectively discriminated this formation from other sedimentary formations. The gypsum spectrum, resampled to the 9 band centres of ASTER, exhibited reflectance in bands 4 and 8 and absorption in bands 6 and 9. As a result, these bands were selected for DPCA application. PC4 effectively highlighted gypsum outcrops as bright pixels, while the Band ratio 2/1 accentuated ferric iron, appearing as bright pixels, which correlated with the red marls. The results of this study demonstrate that ASTER image processing is a cost- and time-effective method that can be utilized for mapping Evaporite formations and distinguishing their lithological units.

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