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Advanced Algorithms for Mineral and Hydrocarbon Exploration Using Synthetic Aperture Radar is a research- and practically-based reference that bridges the gap between the remote sensing industry and the mineral and hydrocarbon exploration industry. In this context, the book explains how to commercialize the applications of synthetic aperture radar and quantum interferometry synthetic aperture radar (QInSAR) for mineral and hydrocarbon exploration. This multidisciplinary reference is useful for oil and gas companies, the mining industry, geoscientists, and coastal and petroleum engineers. Presents both theoretical and practical applications of various types of remote sensing for hydrocarbon and mineral exploration Covers specific problems for exploration professionals and provides applications for solving each problem Includes more than 100 images and figures to help explain the concepts and applications described in the book
Synthetic Aperture Radar Image Processing Algorithms for Nonlinear Oceanic Turbulence and Front Modelling is both a research- and practice-based reference that bridges the gap between the remote sensing field and the dynamic oceanography exploration field. In this perspective, the book explicates how to apply techniques in synthetic aperture radar and quantum interferometry synthetic aperture radar (QInSAR) for oceanic turbulence and front simulation and modelling. The book includes detailed algorithms to enable readers to better understand and implement the practices covered in their own work and apply QInSAR to their own research.This multidisciplinary reference is useful for researchers and academics in dynamic oceanography and modelling, remote sensing and aquatic science, as well as geographers, geophysicists, and environmental engineers Details the potential of synthetic aperture radar in imaging ocean surface dynamical features Includes detailed algorithms and methods, allowing readers to develop their own computer algorithms Covers the latest applications of quantum image processing
Timely and reliable information on natural resources, regarding their potential and limitations, is a prerequisite for sustainable development. Geospatial technologies offer immense potential in providing such information in a timely and cost-effective manner. Using orbital sensors data in conjunction with airborne and proximal sensors data to generate information on soils and agricultural resources, forests, mineral resources, fossil fuel, wetlands, water resources, and marine resources, this book focuses on the advancements in technologies applicable to managing these resources. It addresses global issues like climate change and land degradation neutrality and introduces spatial data infrastructure (SDI) as a mechanism for sharing geospatial data. This book also provides an in-depth discussion on drones, crowdsourcing, cloud computing, Internet of Things, machine learning, and their applications. FEATURES Contains a comprehensive resource on the latest developments in geospatial technologies and their use in monitoring natural resources, productivity mapping, and modeling Explains the geo-computation methods and online algorithm developments Includes clear guidance on how best to use geospatial data for various applications Discusses case studies from a variety of fields and current trends in the management of natural resources Provides future scenarios concerning platforms, sensors, data analysis, and interpretation techniques This book is written for remote sensing and GIS professionals in environmental institutions and government who are involved in natural resource management projects. Senior undergraduate and graduate-level students in Earth sciences, geography, or environmental management can also use this text for supplementary reading.
Weathering and Erosion Processes in the Natural Environment An indispensable introduction to the key environmental processes of weathering and erosion Natural and human-induced weathering processes can have a great impact on soil and groundwater quality. With climate change and other environmental challenges placing increased emphasis on these resources, it has never been more important for researchers and environmental professionals to attain detailed knowledge of weathering and erosion processes. Weathering and Erosion Processes in the Natural Environment meets this need with a rigorous, systematic overview. Beginning with a description of different forces and processes that contribute to weathering, it then discusses the different kinds of landforms that can be produced by weathering and erosion processes, as well as the potential impacts of hydrogeological processes on both surface water and groundwater. The result is a volume that balances qualitative and quantitative understanding of this crucial subject. Weathering and Erosion Processes in the Natural Environment readers will also find: Documented examples in which weathering and erosion processes have led to heavy metals and other trace elements in groundwater Detailed discussion of climate change impacts, including extreme weather events and rising carbon dioxide levels Modeling approaches throughout to enable quantitative assessment and predictions of future impact Weathering and Erosion Processes in the Natural Environment is ideal for researchers and advanced students in geology, geochemistry, hydrogeochemistry and environmental science, as well as professionals dealing with water and soil management.
Opening Remarks and spectral signatures which are manifested on satellite imagery data. The debut of satellite imaging systems on board This book aims to fill that gap. It is based on ex Landsat I in 1972 was a technological advance of perience gained in the past 14 years by me and considerable interest to earth scientists in general other members of the remote sensing and the and exploration geologists in particular. Two major structural analysis research groups at Exxon Pro uses were anticipated for the satellite data. First, it duction Research Company. Explorationists from was expected to replace the traditional aerial pho various Exxon affiliates which have used image tograph that had proven to be useful for mapping data to support hydrocarbon exploration have also geological structures, whether well exposed at the contributed. The examples used here, therefore, surface or obscured by thick vegetative and soil co are taken directly from Exxon's case studies and verage. In addition, it was predicted that the spec training material. The reader must bear in mind tral information provided by the imaging systems that some of the examples which are illustrated could be used to directly detect hydrocarbons from here have been modified to some extent for the sake space. of simplicity as well as for proprietary reasons.
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.