Show simple item record

dc.contributor.advisorMason, Jennifer
dc.contributor.authorBreeding, Landon
dc.date.accessioned2023-08-08T16:15:00Z
dc.date.available2023-08-08T16:15:00Z
dc.date.issued2023-08
dc.identifier.urihttp://hdl.handle.net/10150/668513
dc.description.abstractThe potential benefits of incorporating digitized geologic maps and hyperspectral data for identifying new exploration mining targets at Frisco gold mine are explored in this project. The digitization of geologic maps converts valuable geologic information from traditional paper maps into a digital format, making it easier to analyze and integrate with other geological datasets. This integration helps identify spatial relationships, patterns, and trends in the geologic data, leading to the discovery of potential gold mineralization zones. Hyperspectral data is also crucial in enhancing exploration efforts. Hyperspectral imaging technology captures data across a broad range of wavelengths, enabling detailed characterization of mineralogy and alteration minerals associated with gold deposits. By analyzing hyperspectral data, geologists can identify spectral signatures indicative of gold mineralization, allowing for the precise delineation of potential exploration targets. Combining digitized geologic maps in Datamine Discover with hyperspectral data analysis provides a powerful toolset for gold mine exploration. The integrated approach efficiently identifies additional exploration targets by leveraging the spatial information from geologic maps and the spectral signatures captured by hyperspectral data. This workflow enhances understanding of the geology and mineralization processes, ultimately leading to improved targeting and resource estimation in gold mining operations.en_US
dc.language.isoen_USen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.subjectGolden_US
dc.subjectGISen_US
dc.subjectFrisco Mineen_US
dc.subjectDigitizingen_US
dc.subjectGeologyen_US
dc.subjectArizonaen_US
dc.titleUSING GIS TECHNOLOGIES AND HYPERSPECTRAL DATA TO IDENTIFY MINING EXPLORATION AT FRISCO MINE, ARIZONAen_US
dc.typeElectronic Reporten_US
dc.typetext
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGeographic Information Systems Technologyen_US
thesis.degree.nameM.S.en_US
dc.description.collectioninformationThis item is part of the MS-GIST Master's Reports collection. For more information about items in this collection, please contact the UA Campus Repository at repository@u.library.arizona.edu.en_US
refterms.dateFOA2023-08-08T16:15:04Z


Files in this item

Thumbnail
Name:
MS-GIST_2023_Breeding.pdf
Size:
3.731Mb
Format:
PDF
Description:
MS-GIST Report

This item appears in the following Collection(s)

Show simple item record