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
Total Pages: 416
Release: 2021-09-01
Genre: Science
ISBN: 3036512640

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:
Total Pages: 416
Release: 2021
Genre:
ISBN: 9783036512655

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
Total Pages: 323
Release: 2023-08-10
Genre: Science
ISBN: 0323956092

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
Total Pages: 254
Release: 2022-08-18
Genre: Computers
ISBN: 9811937397

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
Total Pages: 424
Release: 2024-11-01
Genre: Technology & Engineering
ISBN:

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.

Introduction to Mining Engineering - Comprehensive Book I

Introduction to Mining Engineering - Comprehensive Book I
Author: Bial Semih Bozdemir
Publisher: Bilal Semih Bozdemir
Total Pages: 494
Release: 2024-09-24
Genre: Architecture
ISBN:

Volume 1 comprehensive This book explains the topics related to the introduction to Mining Engineering in detail. It has been prepared especially for the benefit of students and academicians studying at the Faculty of Mining. The topics have been prepared in order and by taking into consideration the important issues.

Mining Engineering and Topography

Mining Engineering and Topography
Author:
Publisher: Bilal Semih Bozdemir
Total Pages: 564
Release:
Genre: Architecture
ISBN:

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.

Encyclopedia of Mathematical Geosciences

Encyclopedia of Mathematical Geosciences
Author: B. S. Daya Sagar
Publisher: Springer Nature
Total Pages: 1744
Release: 2023-07-13
Genre: Science
ISBN: 3030850404

The Encyclopedia of Mathematical Geosciences is a complete and authoritative reference work. It provides concise explanation on each term that is related to Mathematical Geosciences. Over 300 international scientists, each expert in their specialties, have written around 350 separate articles on different topics of mathematical geosciences including contributions on Artificial Intelligence, Big Data, Compositional Data Analysis, Geomathematics, Geostatistics, Geographical Information Science, Mathematical Morphology, Mathematical Petrology, Multifractals, Multiple Point Statistics, Spatial Data Science, Spatial Statistics, and Stochastic Process Modeling. Each topic incorporates cross-referencing to related articles, and also has its own reference list to lead the reader to essential articles within the published literature. The entries are arranged alphabetically, for easy access, and the subject and author indices are comprehensive and extensive.

Remote Sensing for Environmental Monitoring

Remote Sensing for Environmental Monitoring
Author: Samy Ismail Elmahdy
Publisher: Frontiers Media SA
Total Pages: 177
Release: 2024-02-14
Genre: Science
ISBN: 2832544320

Advancements in object-based image analysis, commercial high-resolution satellite sensors, and unmanned aerial vehicles, there is growing interest in studying terrestrial, pollution, catastrophe, and ocean dynamics using a range of high-resolution remote sensing data (UAV). High and extremely high-resolution optical and microwave images enable the extraction of more information from a variety of resource management domains, including agriculture, forestry, geological resources, water resources, cryosphere, atmosphere, and analytics for climate change. Researchers have started utilizing advanced techniques for fine-level information extraction, new sensors and platforms, improved quantification, and characterization of physical environments, patterns, and processes. High-quality articles addressing the use and application of remote sensing in environmental studies will be published in this Research Topic.

Remote Sensing Geology

Remote Sensing Geology
Author: Ravi P. Gupta
Publisher: Springer
Total Pages: 438
Release: 2017-11-24
Genre: Technology & Engineering
ISBN: 3662558769

Over the past decade, advances in sensor technology, processing algorithms, and computational capacity have taken remote sensing to a level where observations can be transformed into quantitative measurements, and the technology can be used in near real-time for mapping, monitoring and decision-making. For the third edition, this widely acclaimed book has been fully revised, enlarged and updated. It covers remote sensing in a wide range of optical, thermal, and microwave wavelengths and their host of geologic applications featuring sample applications from around the globe. In addition, it presents state-of-the-art content on emerging themes such as atmospheric interactions, spectroscopy, spectral indices, prospectivity modelling, and multi-sensor geodata integration. The subject matter is presented at a basic level, offering students an excellent introductory text on remote sensing. Further, the main part of the book will also be of great value to active researchers. Excerpt from the review of Remote Sensing Geology (2nd ed., 2003): International Journal of Applied Earth Observation and Geoinformation, 5 (2004) 239–240 “....Graduate students, research workers and professional earth scientists will use this book to their advantage and with pleasure; it is well-written, to the point and with an emphasis on understanding the principles underlying this wide spectre of technology in its application to the earth sciences. Remote sensing is a fascinating subject; so is geology. The author has fully succeeded in providing a fascinating book that combines them in a handy volume.” Jan J. Nossin