Geospatial Analysis Applied to Mineral Exploration | 323 | Pour, Amin Beiranvand;Parsa, Mohammad;M Eldosouky, Ahmed;, Mohammad Parsa, Ahmed M. Eldosouky | Elsevier |
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
Contents of Download:
Geospatial Analysis Applied to - Pour, Amin Beiranvand;Parsa, Mo.epub (29.72 MB)
Geospatial Analysis Applied to - Pour, Amin Beiranvand;Parsa, Mo.pdf (13.56 MB)
KatFile Link(s)
Code:
Linkeket csak regisztrált tagok láthatják! Bejelentkezés ::: Regisztráció
Code:
Linkeket csak regisztrált tagok láthatják! Bejelentkezés ::: Regisztráció
Code:
Linkeket csak regisztrált tagok láthatják! Bejelentkezés ::: Regisztráció