Geospatial Analysis Applied to Mineral Exploration
eBook - ePub

Geospatial Analysis Applied to Mineral Exploration

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

  1. 326 pages
  2. English
  3. ePUB (mobile friendly)
  4. Only available on web
eBook - ePub

Geospatial Analysis Applied to Mineral Exploration

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

Book details
Table of contents
Citations

About This Book

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

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Yes, you can access Geospatial Analysis Applied to Mineral Exploration by Amin Beiranvand Pour,Mohammad Parsa,Ahmed M Eldosouky in PDF and/or ePUB format, as well as other popular books in Sciences physiques & Minéralogie. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Elsevier
Year
2023
ISBN
9780323956093

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. List of contributors
  7. Preface
  8. 1. Introduction to mineral exploration
  9. 2. Remote sensing for mineral exploration
  10. 3. The geographical information system toolbox for mineral exploration
  11. 4. Processing and interpretation of geochemical data for mineral exploration
  12. 5. Geophysical data for mineral exploration
  13. 6. Geological data for mineral exploration
  14. 7. Machine learning for analysis of geo-exploration data
  15. Index