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Geospatial Analysis Applied to Mineral Exploration: Remote...

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Geospatial Analysis Applied to Mineral Exploration: Remote Sensing, GIS, Geochemical, and Geophysical Applications to Mineral Resources

Pour, Amin Beiranvand, Parsa, Mohammad, M Eldosouky, Ahmed,
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Geospatial Analysis Applied to Mineral Exploration: Remote Sensing, GIS, Geochemical, and Geophysical Applications to Mineral Resources presents state-of-the-art approaches on recent remote sensing and GIS-based mineral prospectivity modeling for Earth scientists, researchers, mineral exploration communities and mining companies. This book will help readers solve high complexity issues in remote sensing data processing, geochemical data analysis, geophysical data analysis, and appropriate applications of GIS techniques for data fusion designed for mineral exploration purposes. It contains updated knowledge of remote sensing imagery, geochemistry, geophysics and geospatial techniques that can assist in delineating the signatures and patterns linked to deep-seated, covered, blind or buried mineral deposits.

Covers advances in remote sensing data processing algorithms and geochemical data analysis

Includes sections on geophysical data analysis and machine learning algorithms for mineral exploration

Introduces the suite of geo-spatial tools currently available for mineral exploration

Presents case studies to provide real-world examples of the theories covered

წელი:
2023
გამომცემლობა:
Elsevier Inc.
ენა:
english
გვერდები:
323
ISBN 10:
0323956084
ISBN 13:
9780323956086
ფაილი:
PDF, 13.56 MB
IPFS:
CID , CID Blake2b
english, 2023
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