2023
DOI: 10.1007/s12665-023-11285-4
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Prediction of new polymetallic mineralization prospectivity zones using a combination of remote sensing, geology, and geochemistry data in the northeastern part of the Saghro inlier, Moroccan Anti-Atlas belt

Lahcen Ousaid,
Mohamed El Amrani,
Youssef Hahou
et al.
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(1 citation statement)
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“…To some degree, information on underground and deep mineralization geological features can be obtained, and mineralization information can be acquired at multiple levels and from multiple aspects (Ahmad et al, 2016;Pour et al, 2018;Eldosouky et al, 2021;Li, 2021;Peyghambari and Zhang, 2021;Gil et al, 2023). The application of remote sensing technology in mineral prospecting and prediction is a direct reflection of the application of modern high-tech methods in the field of mineral exploration (Ali and Ghoneim, 2022;Shirmard et al, 2022;Ousaid et al, 2023;Tagwai et al, 2023). Currently, remote sensing technology is constantly maturing and has been commonly used in lithology identification, tectonic information interpretation, mineralization and alteration information extraction and other geological and mineral prospecting prediction tasks.…”
Section: Introductionmentioning
confidence: 99%
“…To some degree, information on underground and deep mineralization geological features can be obtained, and mineralization information can be acquired at multiple levels and from multiple aspects (Ahmad et al, 2016;Pour et al, 2018;Eldosouky et al, 2021;Li, 2021;Peyghambari and Zhang, 2021;Gil et al, 2023). The application of remote sensing technology in mineral prospecting and prediction is a direct reflection of the application of modern high-tech methods in the field of mineral exploration (Ali and Ghoneim, 2022;Shirmard et al, 2022;Ousaid et al, 2023;Tagwai et al, 2023). Currently, remote sensing technology is constantly maturing and has been commonly used in lithology identification, tectonic information interpretation, mineralization and alteration information extraction and other geological and mineral prospecting prediction tasks.…”
Section: Introductionmentioning
confidence: 99%