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Books in Earth and planetary sciences

Elsevier's Earth and Planetary Sciences collection brings together pioneering research on the complexities of our planet and beyond. Covering topics from Earth's structural dynamics and ecosystems to planetary exploration, these titles support advancements in geoscience, environmental science, and space studies, offering essential insights for researchers, professionals, and students.

  • GNSS Applications to Monitor Natural Hazards

    • 1st Edition
    • Joseph Awange
    • English
    Global Navigation Satellite Systems (GNSS) are a cornerstone of modern geodetic positioning, but their true potential extends far beyond traditional applications. GNSS Applications to Monitor Natural Hazards presents a systematic, step-by-step methodology for leveraging satellite-based positioning to detect, analyze, and mitigate environmental threats—from floods and droughts to seismic shifts and landslides. As climate change intensifies natural hazards, this book bridges the gap between theory and practice, offering researchers, engineers, and policymakers reproducible techniques to enhance early-warning systems. For the first time, it also explores AI-enhanced GNSS, demonstrating how machine learning can unlock real-time hazard prediction and adaptive monitoring. Designed for both experts and newcomers, this work translates cutting-edge research into actionable strategies, empowering readers to harness GNSS technology for a more resilient future. Whether optimizing disaster response or decoding subtle environmental changes, this book is an essential guide to reducing the impact of catastrophic events through innovation.

  • Remote Sensing Techniques for Blue Carbon and Coastal Ecosystem Monitoring

    • 1st Edition
    • Uzair Aslam Bhatti + 2 more
    • English
    Remote Sensing Techniques for Blue Carbon and Coastal Ecosystem Monitoring offers a comprehensive exploration of cutting-edge remote sensing technologies for the effective monitoring and conservation of blue carbon ecosystems, including mangroves and seagrass beds. In the face of increasing threats from emerging contaminants such as plastics, pharmaceuticals, and pollutants, this book highlights the vital role these ecosystems play in carbon sequestration and climate change mitigation. Combining satellite imagery, UAV-based sensing, hyperspectral techniques, and ecological models with GIS integration, it provides both theoretical insights and practical case studies from around the world. Essential for students, researchers, practitioners, and policymakers, this guide equips readers with the tools necessary to assess ecosystem health, inform management strategies, and support sustainable coastal development in a rapidly changing environment.

  • Geomorphic Impacts of Earthquakes

    Post-Seismic Landscape Evolution
    • 1st Edition
    • Tim Davies + 2 more
    • English
    Geomorphic Impacts of Earthquakes: Post-Seismic Landscape Evolution summarises the full range of landscape alterations that can result from large earthquakes, ranging from slope instability and river aggradation to prograded coastlines. Although the damage to society that results directly from the shaking and ground rupture in large earthquakes is well known, the consequential effects of seismicity on the landscape causes earth surface deformations and hazards that are only now being fully understood. Many of these paraseismic consequences are subtle, and can take effect at large distances from, and long times after, the causative fault rupture. Geomorphic Impacts of Earthquakes: Post-Seismic Landscape Evolution underpins the consequences of major earthquakes, which are increasing as Earth’s population burgeons and climate and anthropogenic effects are ongoing. Readers professionally engaged in the Earth sciences will be better prepared to assess the full range of natural hazards that threaten particular locations, and to work out how to evaluate their contribution to societal risks.

  • Mechanical Anisotropy of Tropical Residual Soil

    • 1st Edition
    • Xinyu Liu + 1 more
    • English
    Mechanical Anisotropy of Tropical Residual Soil provides an in-depth exploration of the directional dependence of mechanical properties in tropical residual soils, a critical factor influencing geotechnical behavior and engineering applications in tropical regions. The book begins by outlining the fundamental geotechnical properties unique to tropical residual soils, setting the stage for a focused investigation into their mechanical anisotropy. It presents a comprehensive experimental framework designed to analyze anisotropic behavior, emphasizing both shear strength and stiffness variations with direction. The text explores the soil’s response to principal stress rotation, highlighting how stress orientation affects soil performance and structural stability. It further examines the origins of mechanical anisotropy, discussing the microstructural and geological factors that contribute to this phenomenon. Throughout, the book integrates experimental findings with theoretical insights to provide a holistic understanding of anisotropic characteristics. Concluding with a summary and future outlook, the work identifies gaps in current knowledge and suggests directions for further research, aiming to improve predictive models and practical design approaches for tropical residual soils. This book is a valuable resource for geotechnical engineers, researchers, and practitioners working in tropical environments, offering critical insights that enhance the reliability and safety of soil-structure interactions in these regions.

  • Big Data Mining and Machine Learning in Geoscience

    • 1st Edition
    • Yongzhang Zhou + 4 more
    • English
    Big Data Mining and Machine Learning in Geoscience offers a comprehensive overview of the latest techniques and applications of data science in the geosciences, addressing the challenges of managing and interpreting vast and complex datasets. The book begins with foundational concepts in data cleaning and preprocessing, essential for ensuring the quality and reliability of geoscientific data. It then explores dimensionality reduction methods designed to simplify high-dimensional data without losing critical information, facilitating more efficient analysis. The text covers classification and prediction techniques that enable the identification of patterns and forecasting of geological phenomena. Graphical data processing and handling of infinite stream data and time series are discussed, highlighting their importance in real-time monitoring and dynamic systems analysis. The book explores advanced machine learning and deep learning methods, showcasing their transformative impact on geoscientific research. It also introduces knowledge graphs and large language models as emerging tools that enhance data integration, interpretation, and discovery. AI-driven geology is presented as a forward-looking approach that leverages artificial intelligence to revolutionize traditional geological practices, offering improved accuracy and insight. Throughout, practical examples and case studies illustrate how these technologies can be applied to solve complex problems in geoscience. This book equips researchers, practitioners, and students with cutting-edge knowledge and tools to harness big data and machine learning, driving innovation and deeper understanding in geoscience disciplines.

  • Introduction and Applications of Machine Learning in Geotechnics

    • 1st Edition
    • Zong Woo Geem + 5 more
    • English
    Introduction and Applications of Machine Learning in Geotechnics offers a comprehensive exploration of machine learning methodologies and their diverse applications in geotechnical engineering. The book begins with a detailed review of machine learning methods tailored for geotechnical applications, setting the foundation for subsequent chapters. Regression models are utilized to predict shear wave velocities while optimization-based approaches are employed to determine the optimal dimensions of reinforced concrete (RC) retaining walls. The book further explores the identification of gravelly soil through optimized machine learning models and predicts stress-strain responses using data from simple shear tests.Additionally, it outlines the forecasting of liquefaction events triggered by seismic activities and estimates the uniaxial compressive strength of soil using machine learning techniques. The prediction of vertical effective stress and specific penetration resistance is examined to enhance soil characterization and geotechnical analyses. The authors' provide valuable insights for geotechnical engineers and researchers seeking to leverage advanced computational tools for enhanced geotechnical assessments and design processes.

  • Photogrammetry Principles and Applications

    LiDAR 3D Point Cloud Intelligent Processing
    • 1st Edition
    • Jonathan Li + 2 more
    • English
    Photogrammetry Principles and Applications: LiDAR 3D Point Cloud Intelligent Processing addresses the growing demand for advanced 3D point cloud processing in geospatial and Earth observation fields. With LiDAR technology playing a vital role in autonomous driving, smart cities, and environmental monitoring, this book offers a systematic overview of core algorithms, including 3D reconstruction, DEM generation, and semantic segmentation, utilizing cutting-edge artificial intelligence methods like deep learning and large language models. It combines foundational knowledge with practical case studies from diverse regions such as Toronto, Xiamen, and Nanjing, illustrating how these techniques are applied in real-world scenarios. The content spans hardware descriptions, software workflows, and algorithmic insights, making it suitable for both self-study and academic courses. Featuring templates, flow diagrams, step-by-step processes, and tables, the book ensures ease of cross-referencing and practical understanding. It empowers researchers, students, and industry professionals to process complex, massive point cloud data efficiently, leading to more accurate spatial analysis, environmental assessments, and urban planning. By integrating AI into traditional photogrammetric workflows, this volume paves the way for innovations in geospatial intelligence and autonomous systems.

  • Weather and Climate

    Applications of Machine Learning and Artificial Intelligence
    • 1st Edition
    • Volume 13
    • Simon Driscoll + 6 more
    • English
    Weather and Climate: Applications of Machine Learning and Artificial Intelligence, Volume 13 provides a comprehensive exploration of machine learning in the context of weather forecasting and climate research. Sections begin with an introduction to the fundamentals and statistical tools of machine learning and an overview of various machine learning models. Emulation and machine learning of sub-grid scale parametrizations are discussed, along with the application of AI/ML in weather forecasting and climate models. Next, the book delves into the concept of explainable AI (XAI) methods for understanding ML and AI models, as well as the use of generative AI in climate research.The book explores the interface of data assimilation and machine learning for weather forecasting, showcasing case studies of machine learning applied to environmental monitoring data. Final sections look ahead to the future of ML and AI in climate and weather-related research, providing references for further reading. This comprehensive guide offers valuable insights into the intersection of machine learning, artificial intelligence, and atmospheric science, highlighting the potential for innovation and advancement in weather and climate research.Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.

  • Geological History of Earth's Climate

    • 1st Edition
    • F.P. Agterberg + 1 more
    • English
    Geologic History of the Earth’s Climate offers an exhaustive examination of Earth's climate oscillations across the Paleozoic, Mesozoic, and Cenozoic eras. Through advanced mathematical modeling techniques and spectral analysis, it dissects the statistical attributes of meteorological phenomena across geological time boundaries from the Anthropocene to the Quaternary epoch. Central to the book's theory is the Pareto-lognormal distribution, a heavy-tailed frequency distribution that sheds light on the profound impact of greenhouse gas concentrations on an evolving Earth and the impact of these changes on our planet’s dynamics. Geologic History of the Earth’s Climate serves as an indispensable resource for scientists and researcher, providing mathematical approaches to unraveling the intricacies of Earth's climatic past, geological history, dynamics.

  • Lunar Exploration

    • 1st Edition
    • Volume 67
    • English
    Advances in Geophysics, Volume 67 highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Sections in this new release include Introduction to the special issue, Electromagnetic induction in the Earth's mantle and oceans: Forward and inverse modeling, Marine controlled source and magnetotelluric methods, Probing the Lunar Interior with Electromagnetic Geophysical Methods, and Sensor development and applications in mineral exploration.

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