Relevant bibliographies by topics / Mineral Mapping

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Mineral Mapping'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 June 2025

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Journal articles on the topic "Mineral Mapping"

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Contreras Acosta, Isabel Cecilia, Mahdi Khodadadzadeh, and Richard Gloaguen. "Resolution Enhancement for Drill-Core Hyperspectral Mineral Mapping." Remote Sensing 13, no. 12 (2021): 2296. http://dx.doi.org/10.3390/rs13122296.

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Drill-core samples are a key component in mineral exploration campaigns, and their rapid and objective analysis is becoming increasingly important. Hyperspectral imaging of drill-cores is a non-destructive technique that allows for non-invasive and fast mapping of mineral phases and alteration patterns. The use of adapted machine learning techniques such as supervised learning algorithms allows for a robust and accurate analysis of drill-core hyperspectral data. One of the remaining challenge is the spatial sampling of hyperspectral sensors in operational conditions, which does not allow us to
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Pan, Ziwu, Junjie Liu, Liqun Ma, et al. "Research on Hyperspectral Identification of Altered Minerals in Yemaquan West Gold Field, Xinjiang." Sustainability 11, no. 2 (2019): 428. http://dx.doi.org/10.3390/su11020428.

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Predictions of prospectivity based on remote sensing were developed using alteration mineral indicative hyperspectral mapping and remote sensing anomaly filtering, combined with geological characteristics and anomalous mineral field verification. Based on the results of the hyperspectral mineral mapping and the actual geological ground conditions, the results of mapping of altered minerals, such as chlorite, muscovite, kaolinite, and iron oxide were validated, and gold, silver, copper, nickel, and other geochemical anomaly areas were identified for verification work. The results of hyperspectr
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Zhang, Chuan, Fa Wang Ye, Dong Hui Zhang, Ning Bo Zhao, and Ding Wu. "Method Study of Mineral Weight Information Extraction Based on Hyperion Hyperspectral Remote Sensing Data - The Region of Gannan as an Example." Advanced Materials Research 718-720 (July 2013): 2237–41. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2237.

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In this paper, the methods of extracting minerals weight information are studied based on hyperion hyperspectral remote sensing data, taking the region of Gannan area in Jiangxi as an example. After studying spectral angle mapping and matched filtering, the method has been developed which combines them to extract the weight information of minerals. The results show that this method can successfully apply and made spectral angle mapping integrate with matched filtering, combined their advantages and made up their shortcomings, and extract weight information of clay minerals accurately from the
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Fakhrurrozi, Afnindar, Izzul Qudsi, Mochamad Rifat Noor, and Anggun Mayang Sari. "Mineral Mapping on Hyperspectral Imageries Using Cohesion-based Self Merging Algorithm." Jurnal Elektronika dan Telekomunikasi 22, no. 2 (2022): 78. http://dx.doi.org/10.55981/jet.507.

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Recently, hybrid clustering algorithms gained much research attention due to better clustering results and are computationally efficient. Hyperspectral image classification studies should be no exception, including mineral mapping. This study aims to tackle the biggest challenge of mapping the mineralogy of drill core samples, which consumes a lot of time. In this paper, we present the investigation using a hybrid clustering algorithm, cohesion-based self-merging (CSM), for mineral mapping to determine the number and location of minerals that formed the rock. The CSM clustering performance was
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Cavur, Mahmut, Yu-Ting Yu, Ebubekir Demir, and Sebnem Duzgun. "Mapping Geothermal Indicator Minerals Using Fusion of Target Detection Algorithms." Remote Sensing 16, no. 7 (2024): 1223. http://dx.doi.org/10.3390/rs16071223.

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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
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MacRae, Colin, Nick Wilson, and Mark Pownceby. "Electron Microprobe Mapping as a Tool in Ilmenite Characterisation." Microscopy and Microanalysis 7, S2 (2001): 710–11. http://dx.doi.org/10.1017/s1431927600029627.

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The demand for accurate mineralogical data is increasing rapidly as exploration methods, prospect evaluation procedures and metallurgical optimisation studies become more sophisticated. in response to these needs, semi-automated and automated image processing systems which detect minerals using optical microscopy, scanning electron microscopy or electron microprobe microanalysis (EPMA) are becoming increasingly important tools in the exploration, mining and mineral processing industries. CSIRO Minerals has developed an EPMA based imaging (or mapping) method for characterising ilmenite concentr
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Khan, Ihtisham, Kashif Khan, Muhammad Fahad Bial, and Raja Muhammad Usama. "Geospatial Mapping and Detection of Ferrous, Iron Oxides, and Clay Minerals in District Mohmand, Pakistan." International Journal of Economic and Environmental Geology 14, no. 04 (2024): 40–45. http://dx.doi.org/10.46660/ijeeg.v14i04.224.

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The study focuses on the utilization of remote sensing techniques to effectively identify and detect ferrous,iron oxides, and clay minerals in Mohmand district, Pakistan, using LANDSAT 8 multispectral images. This studyfocuses on the increasing demand and importance of these minerals in mining and commercial activities. Mineralexploration in Mohmand district, utilizing remote sensing technology to identify mineral compositions using the bandratio is done. This technique allows for a more focused and precise approach to exploration and extraction techniques.Cloud-free LANDSAT 8 images with mini
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Rifai, Kheireddine, Marc Constantin, Adnan Yilmaz, Lütfü Ç. Özcan, François R. Doucet, and Nawfel Azami. "Quantification of Lithium and Mineralogical Mapping in Crushed Ore Samples Using Laser Induced Breakdown Spectroscopy." Minerals 12, no. 2 (2022): 253. http://dx.doi.org/10.3390/min12020253.

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This article reports on the quantification of lithium and mineralogical mapping in crushed lithium ore by laser-induced breakdown spectroscopy (LIBS) using two different calibration methods. Thirty crushed ore samples from a pegmatite lithium deposit were used in this study. Representative samples containing the abundant minerals were taken from these crushed ores and mixed with resin to make polished disks. These disks were first analyzed by TIMA (TESCAN Integrated Mineral Analyzer) and then by a LIBS ECORE analyzer to determine the minerals. Afterwards, each of the thirty crushed ore samples
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Kumar, C., A. Shetty, S. Raval, P. K. Champatiray, and R. Sharma. "Sub-pixel mineral mapping using EO-1 Hyperion hyperspectral data." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 455–61. http://dx.doi.org/10.5194/isprsarchives-xl-8-455-2014.

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This study describes the utility of Earth Observation (EO)-1 Hyperion data for sub-pixel mineral investigation using Mixture Tuned Target Constrained Interference Minimized Filter (MTTCIMF) algorithm in hostile mountainous terrain of Rajsamand district of Rajasthan, which hosts economic mineralization such as lead, zinc, and copper etc. The study encompasses pre-processing, data reduction, Pixel Purity Index (PPI) and endmember extraction from reflectance image of surface minerals such as illite, montmorillonite, phlogopite, dolomite and chlorite. These endmembers were then assessed with USGS
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Molua, Collins O., and John C. Morka. "Application of Multispectral Remote Sensing in Mapping of Mineral Deposits." Journal of Image Processing and Intelligent Remote Sensing, no. 11 (September 30, 2021): 21–33. http://dx.doi.org/10.55529/jipirs.11.21.33.

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This research examined Multispectral Remote Sensing in mineral mapping in the Ogoni area of Port Harcourt, Rivers State, Niger Delta. That is why the objective of the research was to improve the efficiency of mineral exploration with the help of non-destructive methods. Envi and ArcGIS software were used to analyze Landsat 8 OLI and Sentinel -2 MSI datasets. The applied preprocessing procedures involved radiometric and geometric corrections, and the values of these procedures ranged from 0. 006 to 0. 987 and 0. 064 to 0. 887, respectively. While mapping the minerals, we used spectral signature
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Dissertations / Theses on the topic "Mineral Mapping"

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Pekesin, Burcu Fatma. "Mineral Mapping In Oymaagac (beypazari &amp." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606027/index.pdf.

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The aim of this study is to extract information about mineral distribution and percentages of Oymaaga&ccedil<br>granitoid (Beypazari-Ankara) by using remote sensing techniques. Two methods are applied during the studies which are spectral analysis and Crosta techniques. Spectral measurements are done for fresh and weathered samples collected at 32 locations. Mineral percentages are calculated using spectral mixture analysis for each sample by considering main, accessory and secondary mineral content of granodiorite. A total of 10 endmembers for fresh samples and 15 for weathered samples are us
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Ibrahim, Adamu Mailafiya. "Predictive spatial models for mineral potential mapping." Thesis, University of Leeds, 2016. http://etheses.whiterose.ac.uk/15919/.

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Modelling and prediction of spatially distributed data such as the secondary cassiterite mineral distributions are often affected by spatial autocorrelation (SAC); a phenomenon that violates attributes data independence in space, which leads to type1 errors in classical statistics and overfitting or underfitting in machine learning (ML) classification respectively. The concept of overfitting and underfitting of spatially distributed datasets in an ML classification has not been properly addressed by the traditional random holdout technique of model validation, and this is a challenge to the as
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Skabar, Andrew Alojz. "Inductive learning techniques for mineral potential mapping." Thesis, Queensland University of Technology, 2001.

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Granek, Justin. "Application of machine learning algorithms to mineral prospectivity mapping." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/59988.

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In the modern era of diminishing returns on fixed exploration budgets, challenging targets, and ever-increasing numbers of multi-parameter datasets, proper management and integration of available data is a crucial component of any mineral exploration program. Machine learning algorithms have successfully been used for years by the technology sector to accomplish just this task on their databases, and recent developments aim at appropriating these successes to the field of mineral exploration. Framing the exploration task as a supervised learning problem, the geological, geochemical and geophys
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Murphy, Richard J. "Imaging spectrometry for the mapping of surficial materials." Thesis, University of Reading, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357915.

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Gregory, R. G. "Soil gas emanometry and hydrothermal mineralisation in southwest England." Thesis, University of Exeter, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377311.

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Oztan, Nihat Serkan. "Evaporate Mapping In Bala Region (ankara) By Remote Sensing Techniques." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609621/index.pdf.

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Evaporate minerals were very important raw materials in very different and broad industries for years. Since gypsum became important raw material especially in construction industry as plaster, demand to these minerals rises each following year. The aim of this thesis is to map out these industrial raw materials by using remote sensing techniques. Ankara Bala region has very rich Gypsum sites and this region is showed as one of the best gypsum potential sites of Turkey according to the studies of MTA so that this area is selected for the usage of remotely sensed data. For the remote sensing an
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Crosta, Alvaro Penteado. "Mapping of residual soils by remote sensing for mineral exploration in SW Minas Gerais State, Brazil." Thesis, Imperial College London, 1990. http://hdl.handle.net/10044/1/47830.

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Baranwal, Deepak Kumar. "Molecular mapping of rust resistance and genome-wide association study for grain mineral concentration in wheat." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/25444.

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This investigation included characterisation of diverse sources for rust resistance and identification of genomic regions underpinning rust resistance in wheat. Markers linked to the adult plant leaf rust resistance gene Lr49 were identified using the 90K SNP (single nucleotide polymorphisms) array genotyping of the VL404/WL711 RIL population and alignment of flow-sorted chromosome sequences of chromosome 4B of parents VL404 and WL711. The Lr49-linked markers were tested on a large VL404/Avocet ‘S’ F2 population for fine mapping of the region. A RIL population of VL404/Avocet ‘S’ was evaluated
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Nguyen, Tien Hoang. "Development of transformation method of multispectral imagery into hyperspectral imagery for detailed identification of metal and geothermal resources-related minerals." Kyoto University, 2017. http://hdl.handle.net/2433/227611.

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Books on the topic "Mineral Mapping"

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Ramakrishna, T. S. Geophysical practice in mineral exploration and mapping. Geological Society of India, 2006.

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Carranza, Emmanuel John M. Geochemical anomaly and mineral prospectivity mapping in GIS. Elsevier, 2009.

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Carranza, Emmanuel John Muico. Geologically-constrained mineral potential mapping: Examples from the Philippines. International Institute for Aerospace Survey and Earth Sciences, 2002.

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Legg, Christopher. Remote sensing and geographic information systems: Geological mapping, mineral exploration and mining. Ellis Horwood, 1992.

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Legg, Christopher. Remote sensing and geographic information systems: Geological mapping, mineral exploration, and mining. Wiley, 1994.

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Bhagwat, Subhash. Economic benefits of detailed geologic mapping to Kentucky. Illinois State Geological Survey, 2000.

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United Nations. Economic Commission for Europe. Task Force on Mapping. Mapping of the United Nations Framework Classification for Fossil Energy and Mineral Resources. United Nations, 2009.

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J, Williams Patrick. Cloncurry mapping project 1990: Geology of the Selwyn Range (McKinlay River and Maramungee Creek areas). Economic Geology Research Unit, Geology Dept., James Cook University of North Queensland, 1992.

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Wray, Laura L. Late Cretaceous Fruitland Formation geologic mapping, outcrop measured sections and subsurface stratigraphic cross sections, northern La Plata County, Colorado. Colorado Geological Survey, Division of Minerals and Geology, Dept. of Natural Resources, 2000.

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Exclusive Economic Zone Symposium on Mapping and Research (1989 USGS National Center). Proceedings of the 1989 Exclusive Economic Zone Symposium on Mapping and Research: Federal-state partners in EEZ mapping : meetings held at the USGS National Center, Reston, Virginia, November 14-16, 1989. Edited by Lockwood Millington, McGregor Bonnie A, and USGS-NOAA Joint Office for Mapping and Research in the EEZ. U.S. G.P.O., 1990.

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Book chapters on the topic "Mineral Mapping"

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Marjoribanks, Roger. "Mine Mapping." In Geological Methods in Mineral Exploration and Mining. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-74375-0_3.

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Marjoribanks, Roger W. "Mine Mapping." In Geological Methods in Mineral Exploration and Mining. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5822-0_3.

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Thakker, R. V., K. E. Davies, and J. L. H. O’Riordan. "Gene Mapping of Mineral Metabolic Disorders." In Studies in Inherited Metabolic Disease. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-1069-0_18.

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Agterberg, Frits. "Predictive Geologic Mapping and Mineral Exploration." In Encyclopedia of Mathematical Geosciences. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-85040-1_26.

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Agterberg, Frits. "Predictive Geologic Mapping and Mineral Exploration." In Encyclopedia of Mathematical Geosciences. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-26050-7_26-1.

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Marjoribanks, Roger. "Geological Mapping in Exploration." In Geological Methods in Mineral Exploration and Mining. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-74375-0_2.

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Marjoribanks, Roger W. "Geological Mapping in Exploration." In Geological Methods in Mineral Exploration and Mining. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5822-0_2.

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Donner, Erica, Martin D. de Jonge, Peter M. Kopittke, and Enzo Lombi. "Mapping Element Distributions in Plant Tissues Using Synchrotron X-ray Fluorescence Techniques." In Plant Mineral Nutrients. Humana Press, 2012. http://dx.doi.org/10.1007/978-1-62703-152-3_9.

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Gupta, Mukesh. "Mineral Mapping Using Geoelectrics and Remote Sensing." In Remote Sensing for Geophysicists. CRC Press, 2025. https://doi.org/10.1201/9781003485278-16.

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Skala, Wolfdietrich. "Levels of Information and Probalitity Mapping." In Quantitative Analysis of Mineral and Energy Resources. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-4029-1_4.

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Conference papers on the topic "Mineral Mapping"

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Greeshma, K. V., Anagha S. Sarma, and Rama Rao Nidamanuri. "Forward Spectral Mixture Modelling for Mineral Mapping Applications." In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2024. https://doi.org/10.1109/ingarss61818.2024.10984204.

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De La Rosa, Roberto, Michael Steffen, Ina Storch, et al. "Innovative Hyperspectral Data Fusion for Enhanced Mineral Prospectivity Mapping." In Special Session on S34I - From the Sky to the Soil. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013497900003935.

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Farahnakian, Fahimeh, Mahyar Yousefi, and Ana Teodoro. "An Ensemble Modeling Approach for Mapping Critical Mineral Distribution with LiDAR and PRISMA Data." In Special Session on S34I - From the Sky to the Soil. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013493300003935.

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Jones, James V., and Douglas Kreiner. "MAPPING MINERAL SYSTEMS AND CRITICAL MINERAL RESOURCE PROSPECTIVITY ACROSS ALASKA." In GSA Connects 2022 meeting in Denver, Colorado. Geological Society of America, 2022. http://dx.doi.org/10.1130/abs/2022am-379111.

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Tusa, Laura, Mahdi Khodadadzadeh, I. Cecilia Contreras Acosta, and Richard Gloaguen. "Subspace clustering algorithms for mineral mapping." In Image and Signal Processing for Remote Sensing, edited by Lorenzo Bruzzone, Francesca Bovolo, and Jon Atli Benediktsson. SPIE, 2018. http://dx.doi.org/10.1117/12.2500080.

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Bertrand, G., B. Tourlière, E. Gloaguen, et al. "Mineral Prospectivity Mapping for energy critical elements in Europe: the Cell Based Association approach." In Mineral Exploration Symposium. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202089012.

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Hribernik, Katarina, Jasna Šinigoj, and Duška Rokavec. "MAPPING THE MINERAL RESOURCES DATA OF WEST BALKAN REGION INTO EXISTING EUROPEAN DATA MODEL." In GEOLINKS International Conference. SAIMA Consult Ltd, 2020. http://dx.doi.org/10.32008/geolinks2020/b1/v2/15.

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Primary and secondary mineral resources are of strategic importance for the EU. Most EU countries (including Slovenia) are already part of the pan‐European Minerals Intelligence Network which provides consistent and organized data information on primary and secondary mineral resources on the European level. It was established in previous projects as EuroGeoSource, Minerals4EU, ProSUM, Mica and ORAMA. The Eastern and south Eastern European (ESEE) region represents a gap in this network, but at the same time is also identified as one of most important strategic regions for the EU with great pote
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Knapp, Levi, Alex MacNeil, Calla Knudson, et al. "ALBERTA’S MINERAL MAPPING PROGRAM: PUBLIC GEOSCIENCE TO SUPPORT ALBERTA’S MINERAL STRATEGY." In GSA Connects 2023 Meeting in Pittsburgh, Pennsylvania. Geological Society of America, 2023. http://dx.doi.org/10.1130/abs/2023am-395245.

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Sadeghi, M., G. Bertrand, D. P. S. De Olivieira, et al. "Prospectivity mapping of critical raw material at the continental scale- a part of the FRAME project." In Mineral Exploration Symposium. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202089003.

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Clark, R., J. Boardman, J. Mustard, et al. "Mineral Mapping and Applications of Imaging Spectroscopy." In 2006 IEEE International Symposium on Geoscience and Remote Sensing. IEEE, 2006. http://dx.doi.org/10.1109/igarss.2006.514.

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Reports on the topic "Mineral Mapping"

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Beuter, Pia, Amandine Gnanguênon, Judy Hofmeyr, Lili Gabadadze, and Rajneesh Bhuee. Mapping Africa’s Green Mineral Partnerships. APRI - Africa Policy Research Private Institute gUG (haftungsbeschränkt)., 2025. https://doi.org/10.59184/rp024.01.

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This report provides a comprehensive overview of agreements on critical minerals between African states and global powers, analyzing the strategies employed to secure these vital resources for the green energy transition.
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Beuter, Pia, Amandine Gnanguênon, Judy Hofmeyr, Lili Gabadadze, and Rajneesh Bhuee. Mapping Africa’s Green Mineral Partnerships. APRI - Africa Policy Research Private Institute gUG (haftungsbeschränkt)., 2025. https://doi.org/10.59184/rp025.01.

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This report provides a comprehensive overview of agreements on critical minerals between African states and global powers, analyzing the strategies employed to secure these vital resources for the green energy transition.
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McClenaghan, M. B., W. A. Spirito, S. J. A. Day, M. W. McCurdy, R. J. McNeil, and S. W. Adcock. Overview of Geo-mapping for Energy and Minerals program surficial geochemistry and indicator-mineral surveys and case studies in northern Canada. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331421.

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As part of the Geo-mapping for Energy and Minerals (GEM) program, which ran from 2008 to 2020, the Geological Survey of Canada carried out reconnaissance-scale to deposit-scale geochemical and indicator-mineral surveys and case studies across northern Canada. In these studies, geochemical methods were used to determine the concentrations of 65 elements in lake-sediment, lake-water, stream-sediment, stream-water, and till samples across approximately 1 000 000 km2 of northern Canada. State-of the-art methods were used to examine the indicator-mineral signatures identified through regional-scale
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McClenaghan, M. B., W. A. Spirito, S. J. A. Day, M. W. McCurdy, and R. J. McNeil. Overview of GEM surficial geochemistry and indicator mineral surveys and case studies in northern Canada. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330473.

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As part of the Geo-mapping for Energy and Minerals (GEM) program between 2008 and 2020, the Geological Survey of Canada carried out reconnaissance-scale to deposit-scale geochemical and indicator mineral surveys and case studies across northern Canada. In these studies, geochemical methods were used to determine the concentrations of 65 elements in lake sediment, stream sediment, stream water, lake water and till samples across approximately 1,000,000 km2 of northern Canada. State-of the-art indicator methods were used to examine the indicator mineral signatures in regional-scale stream sedime
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Corriveau, L., and E. G. Potter. Advancing exploration for iron oxide-copper-gold and affiliated deposits in Canada: context, scientific overview, outcomes, and impacts. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/332495.

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The Geo-mapping for Energy and Minerals (GEM) and Targeted Geoscience Initiative (TGI) programs conducted extensive collaborative research on mineral systems with iron oxide-copper-gold (IOCG) and affiliated deposits in prospective settings of Canada. Regional alteration mapping as well as geochemical and geophysical modelling undertaken under the GEM program documented the evolution of polymetallic metasomatic systems with iron-oxide and alkali-calcic alteration and led to an increased recognition of the mineral potential of poorly explored areas and historic deposits of the Great Bear magmat
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Chung, C. J., A. N. Rencz, and A. Zhang. Data integration study for mineral potential mapping in northeastern Alberta. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1997. http://dx.doi.org/10.4095/209211.

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Bonham-Carter, G. F., F. P. Agterberg, and D. F. Wright. Weights of evidence modelling: a new approach to mapping mineral potential. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/128059.

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Staenz, K., C. Nadeau, R. A. Neville, and J. Secker. Effect of Radiative Transfer Codes for Mineral Mapping Using Hyperspectral Data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2001. http://dx.doi.org/10.4095/219735.

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Staenz, K., R. Hitchcock, S. Qian, and R. A. Neville. Impact of On-Board Hyperspectral Data Compression on Mineral Mapping Products. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/219960.

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10

McClenaghan, M. B., D. M. Brushett, C. E. Beckett-Brown, et al. Indicator mineral studies at the Brazil Lake LCT Pegmatites, southwest Nova Scotia. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331686.

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Abstract:
Indicator mineral research is currently being undertaken in partnership with the Nova Scotia Department of Natural Resources and Renewables at the Brazil Lake lithium-cesium-tantalum (LCT) pegmatites in southwest Nova Scotia as part of the Geological Survey of Canada's Targeted Geoscience Initiative(TGI) program. The pegmatites, discovered in 1960, are well known from previous detailed bedrock mapping and surficial studies, and are informally named based on their relative geographic positions as the South and North pegmatites. The South pegmatite naturally outcrops, and both pegmatites are sur
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