Geological mapping and mining prospecting in the Aouli inlier (Eastern Meseta, Morocco) based on remote sensing and geographic information systems (GIS)
Landsat 8 Oli, ASTER, and Sentinel 2A satellite images processing was used to map geological formations, lineaments and hydrothermal alteration minerals in the Aouli inlier, as a case study to illustrate the application of digital images processing and Geographic Information System (GIS) in geologic...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2022-10-01
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| Series: | China Geology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S209651922200194X |
| _version_ | 1811170490569457664 |
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| author | Lakhlifa Benaissi Amraoui Tarek Adnane Tobi Hassan Ibouh Khadra Zaid Khalid Elamari Mohamed Hibti |
| author_facet | Lakhlifa Benaissi Amraoui Tarek Adnane Tobi Hassan Ibouh Khadra Zaid Khalid Elamari Mohamed Hibti |
| author_sort | Lakhlifa Benaissi |
| collection | DOAJ |
| description | Landsat 8 Oli, ASTER, and Sentinel 2A satellite images processing was used to map geological formations, lineaments and hydrothermal alteration minerals in the Aouli inlier, as a case study to illustrate the application of digital images processing and Geographic Information System (GIS) in geological mapping and mining prospecting. Principal Component Analysis (PCA) applied to the Landsat images allowed good lithological discrimination and contributed to the updating of available geological maps. The Automatic lineament extraction from Sentinel images revealed the main tectonic structures affecting Aouli inlier. The ratio bands (b5+b7)/b6 and the false color composite (b4/b6, b2/b1, b3/b2) allowed the hydrothermal alteration minerals mapping from Aster images. Combined with available geological data and field observations, the satellite derived data were integrated and analyzed in a GIS software to establish mining prospecting guides. The results showed that the anomaly zones are intimately linked to NNE –SSW and NW –SE oriented faults and to highly fractured areas developing argillic and Fe rich alterations. Verified via field survey, this approach was successfully applied to the Aouli inlier to rapidly target potential areas to be explored in the tactical phase. This provides a model for future prospecting efforts for similar mineral deposits in other areas.©2022 China Geology Editorial Office. |
| first_indexed | 2024-04-10T16:57:26Z |
| format | Article |
| id | doaj.art-6c1f65abe6bf40b2aa2959eb45fec6ab |
| institution | Directory Open Access Journal |
| issn | 2096-5192 |
| language | English |
| last_indexed | 2024-04-10T16:57:26Z |
| publishDate | 2022-10-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | China Geology |
| spelling | doaj.art-6c1f65abe6bf40b2aa2959eb45fec6ab2023-02-07T04:23:00ZengKeAi Communications Co., Ltd.China Geology2096-51922022-10-0154614625Geological mapping and mining prospecting in the Aouli inlier (Eastern Meseta, Morocco) based on remote sensing and geographic information systems (GIS)Lakhlifa Benaissi0Amraoui Tarek1Adnane Tobi2Hassan Ibouh3Khadra Zaid4Khalid Elamari5Mohamed Hibti6Laboratory of Georessources, Department of Geosciences, Faculty of Sciences and Technics, Moulay Ismail University, Errachidia 52000, Morocco; First author: E-mail address: l.benaissi@umi.ac.ma (Lakhlifa Benaissi).Laboratory of Georessources, Geoenvironment & Civil Engineering, Department of Earth Sciences, Faculty of Sciences and Technologies of Marrakesh, Cadi Ayyad University, Marrakesh 40000, MoroccoLaboratory of Georessources, Department of Geosciences, Faculty of Sciences and Technics, Moulay Ismail University, Errachidia 52000, Morocco; Corresponding author: E-mail address: tobi.adnane@gmail.com (Adnane Tobi).Laboratory of Georessources, Geoenvironment & Civil Engineering, Department of Earth Sciences, Faculty of Sciences and Technologies of Marrakesh, Cadi Ayyad University, Marrakesh 40000, MoroccoDepartment of Earth Sciences, Faculty of Sciences. Mohamed First University, Oujda 60000, MoroccoLaboratory of Georessources, Geoenvironment & Civil Engineering, Department of Earth Sciences, Faculty of Sciences and Technologies of Marrakesh, Cadi Ayyad University, Marrakesh 40000, MoroccoLaboratory of Georessources, Geoenvironment & Civil Engineering, Department of Earth Sciences, Faculty of Sciences and Technologies of Marrakesh, Cadi Ayyad University, Marrakesh 40000, MoroccoLandsat 8 Oli, ASTER, and Sentinel 2A satellite images processing was used to map geological formations, lineaments and hydrothermal alteration minerals in the Aouli inlier, as a case study to illustrate the application of digital images processing and Geographic Information System (GIS) in geological mapping and mining prospecting. Principal Component Analysis (PCA) applied to the Landsat images allowed good lithological discrimination and contributed to the updating of available geological maps. The Automatic lineament extraction from Sentinel images revealed the main tectonic structures affecting Aouli inlier. The ratio bands (b5+b7)/b6 and the false color composite (b4/b6, b2/b1, b3/b2) allowed the hydrothermal alteration minerals mapping from Aster images. Combined with available geological data and field observations, the satellite derived data were integrated and analyzed in a GIS software to establish mining prospecting guides. The results showed that the anomaly zones are intimately linked to NNE –SSW and NW –SE oriented faults and to highly fractured areas developing argillic and Fe rich alterations. Verified via field survey, this approach was successfully applied to the Aouli inlier to rapidly target potential areas to be explored in the tactical phase. This provides a model for future prospecting efforts for similar mineral deposits in other areas.©2022 China Geology Editorial Office.http://www.sciencedirect.com/science/article/pii/S209651922200194XRemote sensingGISAouli inlierMining prospectingMulti–criteria analysis |
| spellingShingle | Lakhlifa Benaissi Amraoui Tarek Adnane Tobi Hassan Ibouh Khadra Zaid Khalid Elamari Mohamed Hibti Geological mapping and mining prospecting in the Aouli inlier (Eastern Meseta, Morocco) based on remote sensing and geographic information systems (GIS) China Geology Remote sensing GIS Aouli inlier Mining prospecting Multi–criteria analysis |
| title | Geological mapping and mining prospecting in the Aouli inlier (Eastern Meseta, Morocco) based on remote sensing and geographic information systems (GIS) |
| title_full | Geological mapping and mining prospecting in the Aouli inlier (Eastern Meseta, Morocco) based on remote sensing and geographic information systems (GIS) |
| title_fullStr | Geological mapping and mining prospecting in the Aouli inlier (Eastern Meseta, Morocco) based on remote sensing and geographic information systems (GIS) |
| title_full_unstemmed | Geological mapping and mining prospecting in the Aouli inlier (Eastern Meseta, Morocco) based on remote sensing and geographic information systems (GIS) |
| title_short | Geological mapping and mining prospecting in the Aouli inlier (Eastern Meseta, Morocco) based on remote sensing and geographic information systems (GIS) |
| title_sort | geological mapping and mining prospecting in the aouli inlier eastern meseta morocco based on remote sensing and geographic information systems gis |
| topic | Remote sensing GIS Aouli inlier Mining prospecting Multi–criteria analysis |
| url | http://www.sciencedirect.com/science/article/pii/S209651922200194X |
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