Abstract In recent years, various geological activities and different mineral prospecting exploration programs have been intensified along the Red Sea hills in order to elucidate maps evaluate potentials. This study is therefore aimed at testing viability of using remote sensing geographic information system (GIS) techniques for mapping gold mineralization area. The area located northeast Sudan...

The Dolatabad area located in SE Iran is a well-endowed terrain owning several chromite mineralized zones. These chromite ore bodies are all hosted in a colored mélange complex zone comprising harzburgite, dunite, and pyroxenite. These deposits are irregular in shape, and are distributed as small lenses along colored mélange zones. The area has a great potential for discovering further chromite...

Mineral prospectivity mapping (MPM) based on the principle of geometric mean was applied to stream sediment geochemical, fault density, and aeromagnetic data from Tagmout basin, Morocco determine new areas for optimizing copper exploration. The application a fuzzy operator using data, factor analysis, density map, allowed weights be assigned these parameters so that MPM function can process the...

expensive to provide these maps  with field measurements  therefore  it is better to use new methods. this study provides a lithological and alteration mapping units with dominant minerals based on hyperspectral images of eo1-hyperion satellite. to do so, two different zones  were  investigated:  the  cuprite-nevada  and  mozahem  volcano  in  iran  which  have suitable conditions for our study...

This paper employs two data-driven methods, Random Forest (RF) and Support Vector Machines (SVM), to develop mineral prospectivity models for an epithermal Au deposit. Four distinct are presented comparison: one employing RF three using SVM with different kernel functions—namely linear, Radial Basis Function (RBF), polynomial. The analysis leverages a compact training dataset, encompassing just...

Accurate lithological mapping is a crucial juncture for geological studies and mineral exploration. Hyperspectral data provide the opportunity to extract detailed information about geology mineralogy of Earth’s surface. Machine learning (ML) deep (DL) techniques an accurate effective various types lithologies in arid semi-arid regions. This article discusses use machine algorithms, specifically...

Mineral prospectivity mapping (MPM), like other geoscience fields, is subject to a variety of uncertainties. When data about unfavorable sites find deposits (i.e., drill intersections barren rocks) lacking in MPM using machine learning (ML) methods, the synthetic generation negative datasets required. As result, techniques for selecting point locations represent examples must be employed. Sever...