Bentonite clay minerals mapping using ASTER and field mineralogical data: A case study from the eastern Rif belt, Morocco

Lamrani, Othmane; Aabi, Ayoub; Boushaba, Abdellah; Seghir, Mohamed Tobbal; Adiri, Zakaria; Samaoui, Samir

doi:10.1016/j.rsase.2021.100640

Cited by 5 publications

(2 citation statements)

References 47 publications

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“…Recently, numerous studies in remote sensing have demonstrated the effectiveness of mineral mapping from satellite images [22][23][24]. Spectral analysis of remote sensing supports geological exploration over a large area.…”

Section: Introductionmentioning

confidence: 99%

Mapping Geothermal Indicator Minerals Using Fusion of Target Detection Algorithms

Cavur,

Yu,

Demir

et al. 2024

Remote Sensing

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Mineral mapping from satellite images provides valuable insights into subsurface mineral alteration for geothermal exploration. In previous studies, eight fundamental algorithms were used for mineral mapping utilizing USGS spectra, a collection of reflectance spectra containing samples of minerals, rocks, and soils created by the USGS. We used an ASD FieldSpec 4 Hi-RES NG portable spectrometer to collect spectra for analyzing ASTER images of the Coso Geothermal Field. Then, we established the ground-truth information and the spectral library by analyzing 97 samples. Samples collected from the field were analyzed using the CSIRO TSG (The Spectral Geologist of the Commonwealth Scientific and Industrial Research Organization). Based on the mineralogy study, multiple high-purity spectra of geothermal alteration minerals were selected from collected data, including alunite, chalcedony, hematite, kaolinite, and opal. Eight mineral spectral target detection algorithms were applied to the preprocessed satellite data with a proposed local spectral library. We measured the highest overall accuracy of 87% for alunite, 95% for opal, 83% for chalcedony, 60% for hematite, and 96% for kaolinite out of these eight algorithms. Three, four, five, and eight algorithms were fused to extract mineral alteration with the obtained target detection results. The results prove that the fusion of algorithms gives better results than using individual ones. In conclusion, this paper discusses the significance of evaluating different mapping algorithms. It proposes a robust fusion approach to extract mineral maps as an indicator for geothermal exploration.

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Section: Introductionmentioning

confidence: 99%

Mapping Geothermal Indicator Minerals Using Fusion of Target Detection Algorithms

Cavur,

Yu,

Demir

et al. 2024

Remote Sensing

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“…Several techniques have been proposed to orient mining exploration by targeting hydrothermal alteration zones (Amin et al., 2011; Bolouki et al., 2020; Di Tommaso & Rubinstein, 2007; El Janati, 2019; Et‐Tayea et al., 2021; Lamrani et al., 2021; Mamouch et al., 2023, 2022; Masoumi et al., 2021; Miftah et al., 2022; Ouchchen et al., 2022, 2021; Rowan et al., 2003; Salehi & Tangestani, 2020; Shirmard et al., 2020; Zamyad et al., 2019). Some of these studies have proved the usefulness of satellite image processing of multispectral sensors such as Landsat, Sentinel and especially ASTER in targeting hydrothermally altered areas.…”

Section: Introductionmentioning

confidence: 99%

Mapping and litho‐geophysical classification of potential mining areas by spatial remote sensing and helicopter‐borne gamma‐ray spectrometry (Tikirt, Anti‐Atlas, Morocco)

Achkouch

Miftah

Ouchchen

et al. 2023

Geophysical Prospecting

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The primary focus of this study is to explore the potential mineral areas. Advanced Spaceborne Thermal Emission and Reflection Radiometer images and radiometric data were combined in the Tikirt region to map hydrothermal alteration zones associated with mineralized deposits. Advanced Spaceborne Thermal Emission and Reflection Radiometer images were analysed using band ratios, principal component analysis and a fuzzy logic model to discover argillic, phyllic, propylitic and iron oxide alterations and to generate a mineral prospectivity map. In addition, mono‐element maps of radiometric elements (K in %, eU in ppm, eTh in ppm) and their behaviour in the ternary image have been elaborated to determine the concentrations of radiometric elements and the variation of radiometric character along the exposed terrains. The F parameter was calculated to target high potassium concentration areas associated with hydrothermal alteration zones. Combining the two methods highlighted four hydrothermal alteration zones considered very promising from a mining point of view. These zones are generally linked to the magma bodies affected by normal faults and exhibit a clear spatial correlation with mineral occurrences.

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MTMF Method for Hydromagnesite Determination Based on Landsat8 and ZY1-02D Data: A Case Study of the Jiezechaka Salt Lake in Tibet

Zhao,

Dai,

Zhao

et al. 2024

Aquat Geochem

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Bentonite clay minerals mapping using ASTER and field mineralogical data: A case study from the eastern Rif belt, Morocco

Cited by 5 publications

References 47 publications

Mapping Geothermal Indicator Minerals Using Fusion of Target Detection Algorithms

Mapping Geothermal Indicator Minerals Using Fusion of Target Detection Algorithms

Mapping and litho‐geophysical classification of potential mining areas by spatial remote sensing and helicopter‐borne gamma‐ray spectrometry (Tikirt, Anti‐Atlas, Morocco)

MTMF Method for Hydromagnesite Determination Based on Landsat8 and ZY1-02D Data: A Case Study of the Jiezechaka Salt Lake in Tibet

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