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.
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Amin Beiranvand Pour is an internationally recognized academic and research leader in remote sensing, geospatial science, and data-driven mineral systems analysis, with a sustained record of high-impact research at the interface of Earth observation, artificial intelligence, and sustainable resource exploration. He is currently a professor and has held senior research appointments at institutions across the Asia-Pacific and in mineral exploration research, reflecting a strong global research footprint. He has been consistently ranked among the World’s Top 2% Scientists (Stanford University, 2018–2026). He is one of the most highly cited researchers worldwide in geological remote sensing and mineral exploration. He is ranked as the #1 national scientist in Earth Sciences in Malaysia for the years 2023 to 2026. His work is widely recognized for advancing multispectral, hyperspectral, and synthetic aperture radar Earth observation analytics, including the integration of machine learning and deep learning approaches to map lithological units, structural features, and hydrothermal alteration minerals associated with diverse ore mineralization systems in complex, data-limited environments. His work has contributed directly to improved critical mineral targeting, sustainable exploration strategies, and environmental monitoring, aligning strongly with sustainability, climate, and resources.
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.
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Taschenbuch. Zustand: Neu. Neuware - 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. Bestandsnummer des Verkäufers 9780323956086
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