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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.

  • Geological History of Earth's Climate

    • 1st Edition
    • August 1, 2026
    • 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.

  • AI Below the Surface

    Navigating the Deep Ocean with Intelligence
    • 1st Edition
    • August 1, 2026
    • Palanichamy Naveen + 2 more
    • English
    AI Below the Surface: Navigating the Deep Ocean with Intelligence provides a comprehensive overview of how Artificial Intelligence (AI) is utilized in marine science, marine biology, and oceanography. Through its exploration of advanced AI technologies and their interaction with complex underwater ecosystems, this edited volume offers valuable insights into future applications and trends as well as to ethical considerations and challenges. Comprised of twelve chapters authored by global experts in AI, marine biology, and oceanography, the book caters to students, researchers, and practitioners seeking a deep understanding of AI's impact in these fields.This resource serves as an accessible and indispensable guide, shedding light on the transformative role of AI in marine exploration.

  • Introduction and Applications of Machine Learning in Geotechnics

    • 1st Edition
    • August 1, 2026
    • 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.

  • Weather and Climate

    Applications of Machine Learning and Artificial Intelligence
    • 1st Edition
    • Volume 13
    • August 1, 2026
    • 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.

  • Photogrammetry Principles and Applications

    LiDAR 3D Point Cloud Intelligent Processing
    • 1st Edition
    • August 1, 2026
    • 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.

  • Lunar Exploration

    • 1st Edition
    • Volume 67
    • August 1, 2026
    • 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.

  • Satellite Remote Sensing

    Past, Present and Future
    • 1st Edition
    • July 1, 2026
    • William J. Emery
    • English
    Satellite Remote Sensing: Past, Present and Future reviews the evolution of Earth remote sensing, from earlier technologies in aerial and satellite remote sensing of the Earth that paved the way for current techniques to current uses and applications. In addition, the book covers future capabilities and research goals. Sections discuss novel applications, interdisciplinary functions, and outline current uses and limitations of various remote sensing technologies, thus putting into context how breakthroughs were made in developments. This is a valuable reference for students, professors of foundational remote sensing courses, and researchers and professionals seeking a wider understanding of remote sensing and its capabilities.

  • Harnessing Earth Observation for Coastal Engineering

    • 1st Edition
    • July 1, 2026
    • Debashis Mitra + 3 more
    • English
    Harnessing Earth Observation for Coastal Engineering addresses the intersection of cutting-edge geoinformatics technologies and coastal engineering to tackle challenges in coastal processes and natural hazards. By offering robust methodologies and algorithms, the book equips students, researchers, and engineers with practical tools for immediate application. The global, real-world case studies provide insights into diverse decision-making tools and global perspectives on geoinformatics in coastal engineering and examples of the methodology in action. It goes on to promote protection and resilience by integrating geoinformatics seamlessly into coastal engineering practices, advancing knowledge and practice in the field.Users will find a great resource that not only addresses the pressing need for leveraging modern remote sensing and GIS technologies but also provides a blend of research insights and practical applications exploring advanced algorithms and techniques, allowing readers to effectively utilize new sensor data, extract vital information, and implement sustainable solutions in coastal zones worldwide.

  • Handbook of Satellite Land Products

    • 1st Edition
    • July 1, 2026
    • Shunlin Liang + 1 more
    • English
    Handbook of Satellite Land Products compiles the key information of as many satellite products as possible for each essential land variable. It provides a comprehensive list of openly accessible high-level satellite products that characterize the essential land surface variables of the Earth system, including the original data sources, inversion algorithms, product characteristics, validation accuracy, and any existing applications. Each product includes satellite data inversion methodology and high-level product generation and application information, allowing for comparison of different products and selection of the correct ones for different applications.This book will help researchers, professors, and graduate students grasp the knowledge of existing satellite land products, understand the advantages and limitations, and follow the practical application examples.

  • Subsurface Data Assimilation

    Theory and Applications
    • 1st Edition
    • June 15, 2026
    • Xiaodong Luo + 2 more
    • English
    Subsurface Data Assimilation: Theory and Applications provides a comprehensive exploration of data assimilation algorithms applied to subsurface characterization and monitoring. The book begins with data assimilation methods, including multilevel data assimilation, coupled data assimilation with machine learning, and generative neural networks for geological parameterization. It also introduces Latent-Space Data Assimilation (LSDA), leveraging deep learning for feature-based analysis and forecasting, and geostatistical seismic inversion techniques. The second part of the book looks into the practical applications of data assimilation in various subsurface problems. Chapters explore CO2 monitoring, geologic CO2 sequestration, and the use of data assimilation for earthquake or CO2 storage scenarios.Hierarchic... data assimilation procedures for carbon storage with uncertain geological scenarios are discussed, along with applications of data assimilation in geothermal energy contexts. The book also addresses practical uncertainty management practices and challenges related to CO2 storage and geothermal energy projects.

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