Coastal Ecosystems from Space Mapping and Analysis Using Open – Source GIS and Satellite Imagery | 93.22 MB
Title: Coastal Ecosystems from Space Mapping and Analysis Using Open – Source GIS and Satellite Imagery
Author: Kousik Das Malakar
Category: Nonfiction, Science & Nature, Science, Earth Sciences, Mineralogy
Language: English | 539 Pages | ISBN: 9780323956093
Description:
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 depositsCovers advances in remote sensing data processing algorithms and geochemical data analysiIncludes 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
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 depositsCovers advances in remote sensing data processing algorithms and geochemical data analysiIncludes 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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