20-34. Machine learning to enhance mineral resource …
In Earth Science, there have been recent, successful applications of these methods for classification and prediction, such as the use of random forests, deep forests, gradient boosting machines, self-organizing maps, and other mineral prospectivity mapping techniques (e.g., Xiong and others, 2018; Occhipinti and others, 2020; Zuo, 2020, and ...
اقرأ أكثر
Spatial mapping of hydrothermal alterations and structural …
Introduction. Recent advances in spaceborne technologies have increasingly led to the use of satellite data as an invaluable tool in the study of complex geological processes [1].In mineral exploration, remote sensing applications have been centered more on detecting hydrothermal alterations and mapping of structural features that controls …
اقرأ أكثر
Knowledge-Driven Prospectivity Mapping for Granite …
This paper presents mineral prospectivity mapping to identify potential new exploration ground for polymetallic Sn–F–REE mineralization associated with the Bushveld granites of the Bushveld Igneous Complex, South Africa. The Lebowa Granite Suite, commonly known as the Bushveld granites, is host to a continuum of polymetallic …
اقرأ أكثر
Orogenic gold prospectivity mapping using machine …
As major mineral discoveries have become rarer over the last two decades, the industry has begun to turn to new technologies to assist in the exploration process. One such advancement is the application of machine learning and artificial intelligence (AI) to geoscience data. Mineral prospectivity mapping has been around for
اقرأ أكثر
Minerals | Free Full-Text | Mineral Prospectivity Mapping …
Random Forest classification was applied to create mineral prospectivity maps (MPM) for orogenic gold in the Rainy River area of Ontario, Canada. Geological and geophysical data were used to create 36 predictive maps as RF algorithm input. Eighty-three (83) orogenic gold prospects/occurrences were used to train the classifier, and 33 …
اقرأ أكثر
Defining potential mineral exploration targets from the …
DOI: 10.1016/j.oregeorev.2020.103927 Corpus ID: 230578665; Defining potential mineral exploration targets from the interpretation of aeromagnetic data in western Rwanda @article{Uwiduhaye2020DefiningPM, title={Defining potential mineral exploration targets from the interpretation of aeromagnetic data in western Rwanda}, author={Jean …
اقرأ أكثر
Modeling-Based Multiscale Deep Prospectivity Mapping: A …
The mineral system modeling approach for prospectivity mapping is an efficient and economic method to assess undiscovered mineral potential quantitatively. It is a procedure of modeling, acquiring, and coupling the proxies of footprints of mineral systems at multiple scales (e.g., regional, district, and deposit scales). In this approach, …
اقرأ أكثر
Mineral exploration modeling by convolutional neural …
Mineral exploration modeling to identify promising areas is a crucial step in any mineral exploration program. Traditional methods mainly depend on the experience of specialists. As the images of nature are composed of structures with relatively high similarity, special methods should be used to discover generalizable patterns by extracting and …
اقرأ أكثر
GIS-Based Predictive Mapping of Gold …
Thesis submitted to the International Institute for Geo-information Science and Earth Observation in partial fulfilment of the requirements for the degree of Master of Science in …
اقرأ أكثر
PhD Thesis: Mineral mapping with the application of
Landsat-8 and ASTER images were utilized to derive geological information and mapping of a hyper-arid mountainous region. Principal component analyses and band rationing techniques in conjunction ...
اقرأ أكثر
Mapping mineral prospectivity through big data analytics …
Journal Article: Mapping mineral prospectivity through big data analytics and a deep learning algorithm. Mapping mineral prospectivity through big data analytics and a deep learning algorithm. Full Record; References (62) Other Related Research; Authors: Xiong, Yihui; Zuo, Renguang; Carranza, Emmanuel John M.
اقرأ أكثر
Application of Data-Driven Evidential Belief Functions to Prospectivity …
The results illustrate usefulness of data-driven estimation of EBFs in GIS-based predictive mapping of mineral prospectivity. The results also show usefulness of EBFs in managing uncertainties associated with evidential maps.}, doi = {10.1007/S11053-005-4678-9}, url = {https:// ... Thesis/Dissertation Carty, Jr, P.
اقرأ أكثر
Introduction to the Special Issue: GIS-based mineral …
Model-based mineral prospectivity mapping is a predictive desktop tool for narrowing down target areas for ground exploration at different scales ranging from the regional to the deposit. A mineral prospectivity model is essentially an integration function that relates a set of geological features (input variables) to the presence of the ...
اقرأ أكثر
Natural Resources Research | Volume 29, Issue 6
Geodata Science-Based Mineral Prospectivity Mapping: A Review. Renguang Zuo; Review Paper 18 May 2020 Pages: 3415 - 3424 ... A Case Study of Akwa Ibom State University and Its Environs, Mkpat Enin L.G.A, Nigeria. Nyakno J. George; Original Paper 15 April 2020 Pages: 3771 - 3788 ...
اقرأ أكثر
A Spatial Data-Driven Approach for Mineral Prospectivity Mapping …
Mineral prospectivity mapping is a crucial technique for discovering new economic mineral deposits. However, detailed knowledge-based geological exploration and interpretations generally involve significant costs, time, and human resources. In this study, an ensemble machine learning approach was tested using geoscience datasets to map …
اقرأ أكثر
Geodata Science-Based Mineral Prospectivity Mapping: A …
The workflow of geodata science-based mineral prospectivity mapping (GSMPM) (Fig. 2b) underlines the spatial correlations between geological, geochemical, geophysical, and remote sensing patterns with known mineral deposits. The identification of mappable layers is based on revealing the spatial associations between geoscience data …
اقرأ أكثر
Structural and geophysical constraint mapping for
Remote sensing (RS) and geographic information systems (GIS) play an important role in the exploration of geological resources and are most effective when used during reconnaissance scale surveys. In Nigerian frontier basins, the use of GIS-based spatial predictive mapping and regional scale evaluation of geological structures is …
اقرأ أكثر
(PDF) Application of remote sensing to mineral exploration …
Principal component analysis for alteration mapping. Article. Jan 1991. PHOTOGRAMM ENG REM S. W.P. Loughlin. View. Show abstract. PDF | On May 24, 2013, Sobhi Nasir published Application of remote ...
اقرأ أكثر
Multi-Dimensional Data Fusion for Mineral Prospectivity Mapping …
Analyzing and fusing information layers of exploratory parameters is a crucial stride for increasing the accuracy of pinpointing mineral potential zones in the reconnaissance stage of mineral exploration. Remote sensing, geophysical, geochemical, and geology data were analyzed and fused for identify metallic mineralization in the …
اقرأ أكثر
Mineral Prospectivity Mapping via Gated Recurrent Unit …
The application of deep learning algorithms in mineral prospectivity mapping (MPM) is a hot topic in mineral exploration. However, few studies have focused on recurrent neural networks (RNNs) in terms of integrating different evidential layers to map mineral potential. In this study, a gated recurrent unit (GRU) model was employed for …
اقرأ أكثر
Exploration radioactive mineralization using mappable …
Mineral resources exploration and mapping are main reasons for developed countries around the world, especially those experiencing comprehensive sustainable development based on industrial activities such as power generation and urban development. Recent techniques of the geospatial tools such as remote sensing (RS) …
اقرأ أكثر
A New Generation of Artificial Intelligence Algorithms for Mineral …
Here, we propose a new concept, 'new generation artificial intelligence (AI) algorithms for mineral prospectivity mapping (MPM)', which places greater emphasis on interpretability and domain cognitive consistency than the established machine learning (ML) algorithms pertaining to MPM. More specifically, the newly proposed algorithms are …
اقرأ أكثر
From 2D to 3D Modeling of Mineral Prospectivity Using …
highlight subsurface targets for mineral mining. This study aims to illustrate the processes involved in generating 2D prospectivity maps on multiple levels (surface (0 m), 500 m, 1000 m, 1500 m, 2000 m, 2500 m, and 3000 m) using a 3D prospecting model, to decrease the uncertainty associated with prospectivity targeting in the WGD.
اقرأ أكثر
Data-Driven Evidential Belief Modeling of Mineral Potential …
Data-driven evidential belief (EB) modeling has already been demonstrated for mineral prospectivity mapping in areas with many (i.e., >20) deposits/prospects (i.e., with indicated/inferred resources). In this paper, EB modeling is applied to a case-study area measuring about 920 km2 with 12 known porphyry-Cu prospects and with evidential data …
اقرأ أكثر
Minerals | Free Full-Text | Editorial for the Special Issue
He et al. identified radioactive mineralized lithology and mineral prospectivity mapping techniques using Worldview-2 and Landsat-8 TIRS thermal infrared data in the Narsaq Region of Greenland. Employing a weight-of-evidence analysis technique that combines machine-learned lithological classification information with information on surface ...
اقرأ أكثر
(PDF) The Sokoto Basin of Northwestern Nigeria: …
Thesis, Ahm adu Bello ... Geological Mapping and Prospectivity Evaluation ... as part of a programme aimed at assisting and promoting mineral exploration in Nigeria using 3X Scintrex CS3 Cesium ...
اقرأ أكثر
GIS-based weights of evidence modeling applied to mineral prospectivity
Last but not least, the resultant mineral prospectivity map is validated using "test deposits." ... PhD thesis Abstract: Department of earth sciences university of Ottawa Last acceded Sept 24 2001. Nykänen V, Salmirinne H (2007) Prospectivity analysis of gold using regional geophysical and geochemical data from the central Lapland ...
اقرأ أكثر
Analysing multi-index overlay and fuzzy logic models for …
Mineral prospectivity mapping (MPM) is a multi-criteria decision-making process that identifies and prioritises potential zones for mineral exploration. Multi-index overlay and fuzzy logic models were employed in this paper to conduct GIS-based MPM of the Ahafo gold district, which is located on the northwestern margin of the Sefwi ...
اقرأ أكثر
(PDF) Mineral prospectivity mapping: a potential …
Mineral prospectivity mapping (MPM) based on the principle of geometric mean was applied to stream sediment geochemical, fault density, and aeromagnetic data …
اقرأ أكثر
Mineral Prospectivity Mapping Using Deep Self-Attention …
Multi-source data integration for mineral prospectivity mapping (MPM) is an effective approach for reducing uncertainty and improving MPM accuracy. Multi-source data (e.g., geological, geophysical, geochemical, remote sensing, and drilling) should first be identified as evidence layers that represent ore-prospecting-related features. Traditional …
اقرأ أكثر