Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas
Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas

Author: Amin Beiranvand Pour

Publisher: MDPI

Published: 2021-09-01

Total Pages: 416

ISBN-13: 3036512640

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In recent decades, remote sensing technology has been incorporated in numerous mineral exploration projects in metallogenic provinces around the world. Multispectral and hyperspectral sensors play a significant role in affording unique data for mineral exploration and environmental hazard monitoring. This book covers the advances of remote sensing data processing algorithms in mineral exploration, and the technology can be used in monitoring and decision-making in relation to environmental mining hazard. This book presents state-of-the-art approaches on recent remote sensing and GIS-based mineral prospectivity modeling, offering excellent information to professional earth scientists, researchers, mineral exploration communities and mining companies.

Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas
Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas

Author: Amin Beiranvand Pour

Publisher:

Published: 2021

Total Pages: 416

ISBN-13: 9783036512655

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In recent decades, remote sensing technology has been incorporated in numerous mineral exploration projects in metallogenic provinces around the world. Multispectral and hyperspectral sensors play a significant role in affording unique data for mineral exploration and environmental hazard monitoring. This book covers the advances of remote sensing data processing algorithms in mineral exploration, and the technology can be used in monitoring and decision-making in relation to environmental mining hazard. This book presents state-of-the-art approaches on recent remote sensing and GIS-based mineral prospectivity modeling, offering excellent information to professional earth scientists, researchers, mineral exploration communities and mining companies.

Geospatial Analysis Applied to Mineral Exploration
Geospatial Analysis Applied to Mineral Exploration

Author: Amin Beiranvand Pour

Publisher: Elsevier

Published: 2023-08-10

Total Pages: 323

ISBN-13: 0323956092

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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

Remote Sensing Intelligent Interpretation for Mine Geological Environment
Remote Sensing Intelligent Interpretation for Mine Geological Environment

Author: Weitao Chen

Publisher: Springer Nature

Published: 2022-08-18

Total Pages: 254

ISBN-13: 9811937397

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This book examines the theory and methods of remote sensing intelligent interpretation based on deep learning. Based on geological and environmental effects on mines, this book constructs a set of systematic mine remote sensing datasets focusing on the multi-level task with the system of “target detection→scene classification→semantic segmentation." Taking China’s Hubei Province as an example, this book focuses on the following four aspects: 1. Development of a multiscale remote sensing dataset of the mining area, including mine target remote sensing dataset, mine (including non-mine areas) remote sensing scene dataset, and semantic segmentation remote sensing dataset of mining land cover. The three datasets are the basis of intelligent interpretation based on deep learning. 2. Research on mine target remote sensing detection method based on deep learning. 3. Research on remote sensing scene classification method of mine and non-mine areas based on deep learning. 4. Research on the fine-scale classification method of mining land cover based on semantic segmentation. The book is a valuable reference both for scholars, practitioners and as well as graduate students who are interested in mining environment research.

Applying Remote Sensing and GIS for Spatial Analysis and Decision-Making
Applying Remote Sensing and GIS for Spatial Analysis and Decision-Making

Author: Batchi, Mouhcine

Publisher: IGI Global

Published: 2024-11-01

Total Pages: 424

ISBN-13:

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Remote sensing and Geographic Information Systems (GIS) have become indispensable tools for understanding our planet's complex systems and addressing a wide range of environmental, social, and economic challenges. With several environmental and social factors coming to a head, it is important that our society utilizes every tool at its disposal in order to identify these issues and make comprehensive action plans in order to avoid negative social and environmental consequences. Applying Remote Sensing and GIS for Spatial Analysis and Decision-Making offers a comprehensive exploration of the applications of remote sensing, Geographic Information Systems (GIS), and emerging technologies in spatial analysis and decision-making across various domains. The book explores fundamental principles, methodologies, and advanced techniques pertinent to remote sensing and GIS, while also discussing the integration of emerging technologies such as unmanned aerial vehicles (UAVs), hyperspectral imaging, LiDAR, machine learning, and artificial intelligence (AI). Covering topics such as climate change modeling, land resources, and spatial data analysis, this book is an excellent resource for researchers and academicians, urban planners, practitioners, professionals, policy makers, postgraduate students and educators, and more.

Mining Engineering and Topography
Mining Engineering and Topography

Author:

Publisher: Bilal Semih Bozdemir

Published:

Total Pages: 564

ISBN-13:

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As we navigate the challenges posed by fluctuating market demands, environmental regulations, and community expectations, effective site monitoring emerges as an indispensable aspect of sustainable mining practices. The harmonization of geotechnical, hydrological, air quality, and noise monitoring provides a comprehensive approach to identifying potential hazards, thereby facilitating timely interventions and optimizing resource management.

Deposit and Geoenvironmental Models for Resource Exploitation and Environmental Security
Deposit and Geoenvironmental Models for Resource Exploitation and Environmental Security

Author: Andrea G. Fabbri

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 566

ISBN-13: 9401003033

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Geological processes affect the earth itself and human society. Solutions to geological problems, whether natural or man-made, demand close international collaboration. This book presents new approaches to current problems of environmental assessment, demonstrates the interactions between those involved in addressing global problems, and represents a means for the education of others. The book focuses on four major themes: geoenvironmental models, GIS methods and techniques, assessment and resource management, and resource policies and sustainable development. The major topics falling under each theme are introduced, followed by discussions of specific applications. Reports of the discussions of working groups are also presented to round out the individual contributions. The disciplines represented include geology, geophysics, geochemistry, remote sensing, economics, biology, mining engineering, resource analysis, mathematics and statistics.

Hyperspectral Remote Sensing
Hyperspectral Remote Sensing

Author: Prem Chandra Pandey

Publisher: Elsevier

Published: 2020-08-05

Total Pages: 508

ISBN-13: 0081028954

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Hyperspectral Remote Sensing: Theory and Applications offers the latest information on the techniques, advances and wide-ranging applications of hyperspectral remote sensing, such as forestry, agriculture, water resources, soil and geology, among others. The book also presents hyperspectral data integration with other sources, such as LiDAR, Multi-spectral data, and other remote sensing techniques. Researchers who use this resource will be able to understand and implement the technology and data in their respective fields. As such, it is a valuable reference for researchers and data analysts in remote sensing and Earth Observation fields and those in ecology, agriculture, hydrology and geology. - Includes the theory of hyperspectral remote sensing, along with techniques and applications across a variety of disciplines - Presents the processing, methods and techniques utilized for hyperspectral remote sensing and in-situ data collection - Provides an overview of the state-of-the-art, including algorithms, techniques and case studies

Hyperspectral Remote Sensing
Hyperspectral Remote Sensing

Author: Ruiliang Pu

Publisher: CRC Press

Published: 2017-08-16

Total Pages: 466

ISBN-13: 1498731600

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Advanced imaging spectral technology and hyperspectral analysis techniques for multiple applications are the key features of the book. This book will present in one volume complete solutions from concepts, fundamentals, and methods of acquisition of hyperspectral data to analyses and applications of the data in a very coherent manner. It will help readers to fully understand basic theories of HRS, how to utilize various field spectrometers and bioinstruments, the importance of radiometric correction and atmospheric correction, the use of analysis, tools and software, and determine what to do with HRS technology and data.

Advances in Remote Sensing for Natural Resource Monitoring
Advances in Remote Sensing for Natural Resource Monitoring

Author: Prem C. Pandey

Publisher: John Wiley & Sons

Published: 2021-01-26

Total Pages: 528

ISBN-13: 1119615976

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Sustainable management of natural resources is an urgent need, given the changing climatic conditions of Earth systems. The ability to monitor natural resources precisely and accurately is increasingly important. New and advanced remote sensing tools and techniques are continually being developed to monitor and manage natural resources in an effective way. Remote sensing technology uses electromagnetic sensors to record, measure and monitor even small variations in natural resources. The addition of new remote sensing datasets, processing techniques and software makes remote sensing an exact and cost-effective tool and technology for natural resource monitoring and management. Advances in Remote Sensing for Natural Resources Monitoring provides a detailed overview of the potential applications of advanced satellite data in natural resource monitoring. The book determines how environmental and - ecological knowledge and satellite-based information can be effectively combined to address a wide array of current natural resource management needs. Each chapter covers different aspects of remote sensing approach to monitor the natural resources effectively, to provide a platform for decision and policy. This important work: Provides comprehensive coverage of advances and applications of remote sensing in natural resources monitoring Includes new and emerging approaches for resource monitoring with case studies Covers different aspects of forest, water, soil- land resources, and agriculture Provides exemplary illustration of themes such as glaciers, surface runoff, ground water potential and soil moisture content with temporal analysis Covers blue carbon, seawater intrusion, playa wetlands, and wetland inundation with case studies Showcases disaster studies such as floods, tsunami, showing where remote sensing technologies have been used This edited book is the first volume of the book series Advances in Remote Sensing for Earth Observation.