Geospatial Analysis Applied to Mineral Exploration

Name: Geospatial Analysis Applied to Mineral Exploration
Brand: Elsevier - Health Sciences Division
SKU: 9780323956086
Price: 182.0 EUR
Availability: InStock

Remote Sensing, GIS, Geochemical, and Geophysical Applications to Mineral Resources

Автор: Amin Beiranvand Pour, Mohammad Parsa, Ahmed M Eldosouky

Език:

Корици: С меки корици

Издател: Elsevier - Health Sciences Division

Наличност: Външен склад

Изпращаме след 14-21 дни

182.00 € 355.96 лв

Geospatial Analysis Applied to Mineral Exploration: Remote Sensing, GIS, Geochemical, and Geophysica...

Информация за книгата

Автор

Amin Beiranvand Pour, Mohammad Parsa, Ahmed M Eldosouky

Език

Английски език

Корици

Книга - С меки корици

Издадена

2023

страници

525

EAN

9780323956086

Enbook ID

42849134

Издател

Elsevier - Health Sciences Division

Теглоt

674

Размери

191 x 235

Пълно описание

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, which offer detailed information for professional Earth scientists, researchers, mineral exploration communities, and mining companies. Geospatial Analysis Applied to Mineral Exploration: Remote Sensing, GIS, Geochemical, and Geophysical Applications to Mineral Resources helps readers to 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. This book contains updated and informative 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, geochemical data analysis 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

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Geospatial Analysis Applied to Mineral Exploration

Remote Sensing, GIS, Geochemical, and Geophysical Applications to Mineral Resources

Информация за книгата

Пълно описание

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