Deep Learning for Earth Observation and Climate Monitoring bridges the gap between deep learning and the Earth sciences, offering cutting-edge techniques and applications that are transforming our understanding of the environment. With a focus on practical scenarios, this book introduces readers to the fundamental concepts of deep learning, from classification and image segmentation to anomaly detection and domain adaptability. The book includes practical discussion on regression, parameter retrieval, forecasting, and interpolation, among other topics. With a solid foundational theory, real-world examples, and example codes, it provides a full understanding of how intelligent systems can be applied to enhance Earth observation and especially climate monitoring.This book allows readers to apply learning representations, unsupervised deep learning, and physics-aware models to Earth observation data, enabling them to leverage the power of deep learning to fully utilize the wealth of environmental data from satellite technologies.
Digital Terrain Analysis, Third Edition synthesizes knowledge on methods and applications of digital terrain analysis and geomorphometry in the context of multi-scale problems in soil science, geology, and polar research. Divided into four parts, the book examines the main concepts, principles, and methods of digital terrain modeling, methods for analysis, modeling, and mapping of spatial distribution of soil properties, techniques for recognition, analysis, and interpretation of topographically manifested geological features, and finally, polar research. This new release provides a theoretical and methodological basis for understanding and applying geographical modeling techniques.
While technological advancement leads to societal benefits in terms of economic growth, it also brings with it challenges in its impact on the environment or human health. Sustainable development seeks a uniform means of comparing the economic benefits with the environmental and health costs associated with the implementation of a new technology.This revised encyclopedia investigates sustainability initiatives across a range of industries, providing insight into future opportunities for technological development. A broad spectrum of human challenges have only become more intense since publication of the first edition. For example, climate change is now observed across the globe as a contributor to large scale weather events, including extreme drought in Australia, intense wildfires in California, and flooding along the great rivers of Africa, North and South America. Land in the Amazon rain forest is destroyed to provide increased cropland, contributing to climate change. Expansion of the use of biomass as a raw material in chemical processing leads to food shortages. In many cases, these challenges have the greatest impact on the poorest nations, and the most polluting manufacturing facilities are located in the poorest communities, demonstrating social justice challenges.Encyclopedia of Sustainable Technologies, Four Volume Set provides a comprehensive analysis of the challenges of modern technology, and the innovations that are leading to better use of limited resources and improved resiliency as we learn to adapt to a changing world. Each chapter examines in depth a technological solution to support a specific human need, evaluates it relative to its impacts on the environment and human health, and considers the social justice issues underlying its development.The new edition provides a stronger link between manufacturing and climate change, updates on new technologies for the generation, distribution and storage of energy, new concepts in resiliency and modularity that have changed manufacturing and chemical processes, and emphasizes the trade-offs required to obtain desired products while minimizing environmental impact.
Sustainable Quality Improvements for Isotope Dilution in Molecular Ultratrace Analyses: Fitness for Purpose, Performance-Based Criteria, and Measurement Uncertainty uses a novel Sustainable Quality Improvement (SQI) framework with the aim of helping to re-introduce much needed flexibility and restore accountability and integrity necessary for developing confidence in products obtained with these specialty assays. The book can also be used as a comprehensive reference text for data and information on matrix-specific target analytes detection/quantitation limits, and measurement of uncertainties for planning purposes, congeners profiles, multi-phasic, multi-component and multi-analyte samples processing flow charts, and useful definitions of the underlying technology-relevant terminologies.The SQI framework around which the book is constructed paves the way for the innovative technological solutions described in the book and is powered by three key elements: Fitness for Purpose (Data Quality Objectives), Performance-Based Measurement System (flexibility, latitude), and Measurement Uncertainty (accountability). Together, they facilitate the development and validation of advanced methodologies to resolve many of the contemporary issues associated with continuously evolving and demanding regulatory requirements. A stronger focus on effective performance feedback is demonstrated to help laboratories rethink their own approach to quality improvements.
The Water-Energy-Food Nexus: Optimization Models for Decision Making, Volume 32 covers water, energy, and food as crucial resources for human well-being and sustainable development. These resources are inextricably interrelated, therefore, to cover water, energy, and food demands in different sectors and at different scales, it must be considered several sources to produce resources, and the interlinkages of resources for a proper integration must be considered. This book emphasizes issues that must be considered in the design of water-energy-food nexus systems, such as the selection of technologies to produce water or energy, size of technologies, and food required for nutritional demands.In addition, mathematical models are presented for the design of water-energy-food nexus systems involving several strategies to account for issues such as sustainable development, security of resources, interest in conflicts from stakeholders, and efficient allocation of resources.
Coastal Altimetry: Selected Case Studies from Asian Shelf Seas provides information on developments over the past decade in the processing of remotely sensed altimetry in coastal areas, with an overview of expected errors and where they stem from, along with remaining gaps in processing. Challenges covered include the retracking of the altimetric signal to account for land contamination, tropospheric water corrections, and tidal model improvements, along with the pros and cons of widely available products. Additional chapters provide recent research in the regional seas of Asia and cover variability, dynamics, predictability and prediction, impacts of extreme events, effects to ecosystems, and more. This book offers readers a dataset that can illuminate our understanding of the propagation of planetary boundary waves that have a significant sea level signal in near coastal regions. As such, researchers and students who have a foundation in satellite altimetry and want to know the latest development of open ocean and coastal satellite altimetry, especially in Asian coastal regions, will benefit from this book.
Handbook of HydroInformatics Volume III: Water Data Management Best Practices presents the latest and most updated data processing techniques that are fundamental to Water Science and Engineering disciplines. These include a wide range of the new methods that are used in hydro-modeling such as Atmospheric Teleconnection Pattern, CONUS-Scale Hydrologic Modeling, Copula Function, Decision Support System, Downscaling Methods, Dynamic System Modeling, Economic Impacts and Models, Geostatistics and Geospatial Frameworks, Hydrologic Similarity Indices, Hydropower/Renewable Energy Models, Sediment Transport Dynamics Advanced Models, Social Data Mining, and Wavelet Transforms. This volume is an example of true interdisciplinary work. The audience includes postgraduates and above interested in Water Science, Geotechnical Engineering, Soil Science, Civil Engineering, Chemical Engineering, Computer Engineering, Engineering, Applied Science, Earth and Geoscience, Atmospheric Science, Geography, Environment Science, Natural Resources, Mathematical Science, and Social Sciences. It is a fully comprehensive handbook which provides all the information needed  related to the best practices for managing water data.   Â
Water, Land, and Forest Susceptibility and Sustainability, Volume 1: Geospatial Approaches & Modeling brings an interdisciplinary perspective to solving complex problems in sustainability, utilizing the latest research and technologies, and includes case studies that emphasize the applications of remote sensing, GIS, and image processing for addressing the current state and future needs to achieve sustainability. As forests, land, and water are among the most precious resources on earth, emphasizing the need to conserve them for future generations and, of course, a safe and sustainable planet. The assessment of the susceptibility of all these three precious resources must therefore be addressed to inform their sustainable management. This 1st volume encourages adaptive activities among experts employed in interdisciplinary fields, from data mining and machine learning to environmental science by linking geospatial computational intelligence technology to forest, land and water issues.
Geographic Information System Skills for Foresters and Natural Resource Managers provides a resource for developing knowledge and skills concerning GIS as it applies to forestry and natural resource management. This book helps readers understand how GIS can effectively be used by professional foresters and land managers to conduct spatial analyses or address management decisions. Through topics presented, readers will improve their ability to understand GIS data sources, identify GIS data types and quality, perform common spatial analysis processes, create GIS data, produce maps, and ultimately develop the skills necessary to use GIS analysis to answer real-world questions. This book will be of great benefit to GIS users looking to directly apply techniques to real-world data or foresters and natural resource scientists who use GIS in their research.
Water Resource Modeling and Computational Technologies, Seventh Edition provides the reader with a comprehensive overview of the applications that computational techniques have in various sectors of water resource engineering. The book explores applications of recent modeling and computational techniques in various sectors of water resource engineering, including hydroinformatics, irrigation engineering, climate change, hydrologic forecasting, floods, droughts, image processing, GIS, water quality, aquifer mapping, basin scale modeling, computational fluid dynamics, numerical modeling of surges and groundwater flow, river engineering, optimal reservoir operation, multipurpose projects, and water resource management. As such, this is a must read for hydrologists, civil engineers and water resource managers.