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Descripción

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

1. 1 : Introduction to mineral exploration - p. Page xi 2. 2 : Remote sensing for mineral exploration - p. Page 10 3. 3 : The geographical information system toolbox for mineral exploration - p. Page 127 4. 4 : Processing and interpretation of geochemical data for mineral exploration - p. Page 167 5. 5 : Geophysical data for mineral exploration - p. Page 186 6. 6 : Geological data for mineral exploration - p. Page 223 7. 7 : Machine learning for analysis of geo-exploration data - p. Page 273 8. Index - p. Page 291

Descripcion
Descripción

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

1. 1 : Introduction to mineral exploration - p. Page xi 2. 2 : Remote sensing for mineral exploration - p. Page 10 3. 3 : The geographical information system toolbox for mineral exploration - p. Page 127 4. 4 : Processing and interpretation of geochemical data for mineral exploration - p. Page 167 5. 5 : Geophysical data for mineral exploration - p. Page 186 6. 6 : Geological data for mineral exploration - p. Page 223 7. 7 : Machine learning for analysis of geo-exploration data - p. Page 273 8. Index - p. Page 291

Indice
Autores
Muestra
Ficha Técnica