Geospatial Analysis Applied to Mineral Exploration: Remote Sensing, GIS, Geochemical and Geophysical Applications
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
English | 2023 | ISBN: 0323956084 | 323 pages | True PDF EPUB | 41 MB
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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
English | 2023 | ISBN: 0323956084 | 323 pages | True PDF EPUB | 41 MB
Download
*