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Wiley-VCH - Earth Science
A Passion for Publishing
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Green Maps
[608 Pages, Hardcover]
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Geospatial Intelligence in Precision Agriculture
[416 Pages, Hardcover]
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Decision-Making for Earth Resource Development
A reproducible approach to uncertainty quantification validated on real-world Earth resource decision problems Earth's subsurface offers many vital resources--such as minerals, geothermal energy, and clean water--but decisions regarding exploration and extraction must balance resource value against environmental impact. This can only be addressed by accepting uncertainty as an integral part of most decisions. Decision-Making for Earth Resource Development: Quantifying Uncertainty presents uncertainty quantification strategies tested on real cases using a Bayesian methodology that can be applied to a wide variety of decision problems. Volume highlights include: * Six substantial case studies, covering mineral exploration, geothermal heat feasibility, groundwater management, and more * Popper-Bayes protocol for formulating and solving uncertainty quantification problems * Machine learning approaches for Bayesian inversion * Decision-making with AI and high-performance computing * Investigation models using global sensitivity analysis in the geosciences * Software development for large-scale practical implementation The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals. [384 Pages, Hardcover]
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Carbon Capture and Environmental Sustainability
[416 Pages, Hardcover]
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Geographic Perspectives on Disaster Risk Management
A holistic view of geospatial data and analysis across the risk management lifecycle Geospatial data and analytical tools are widely used for disaster management, insurance, humanitarian response, and defence--yet methodologies remain siloed. Geographic Perspectives on Disaster Risk Management, written by a team of experienced practitioners in catastrophe risk analytics and geospatial studies, connects these sectors by comparing approaches, identifying common challenges, and distilling cross-sector best practices for preparation, response, recovery, and mitigation. Structured around the disaster risk cycle, the book addresses exposure and vulnerability mapping, risk preparedness and mitigation strategies, event monitoring, damage assessment, resilience building, and risk communication. It draws on data sources ranging from local traffic cameras to geostationary satellites and includes case studies illustrating real-world applications alongside outcome-based evaluations of current practices and future developments in disaster risk assessment. Readers will also find: * Cross-sector comparison of methodologies from international development, emergency response, insurance, defence, and commercial geospatial analytics * Practical case studies demonstrating real-world challenges and solutions in disaster preparation, monitoring, damage assessment, and recovery operations * Outcome-based evaluation of common approaches to emergency risk management, identifying strengths and limitations of current practice * Coverage of future developments in data availability, analytical techniques, and climate risk assessment relevant to evolving environmental uncertainty * Guidance on risk communication and decision-making frameworks that translate geospatial analysis into actionable operational and financial strategies Designed for professionals in disaster management, emergency response, and the insurance industry, as well as researchers and advanced students in the geosciences, this book provides a structured, practice-oriented resource for applying geographic perspectives to quantify, communicate, and reduce disaster risk across sectors. [464 Pages, Hardcover]
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