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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.

  • Quantitative Methods in Stratigraphy

    A Multi-Proxy Palaeoenvironmental Analysis of Outcrop and Core Data
    • 1st Edition
    • Ondřej Bábek
    • English
    Quantitative Methods in Stratigraphy: A Multi-Proxy Palaeoenvironmental Analysis of Outcrop and Core Data explores the current advances in technology, offering a wide range of quantitative geophysical, geochemical, and spectral methods, which are less expensive, timesaving, and often non-destructive. The book first outlines the main principles and applications of stratigraphy and paleoenvironmental analysis. Chapters then work methodically through quantitative data in stratigraphy, gamma-ray methods, magnetic susceptibility and magnetometry, and diffuse reflectance spectroscopy. Near infrared (NIR) and Fourier-transform infrared (FTIR) spectroscopy as well as energy-dispersive X-ray fluorescence (EDXRF) spectroscopy are reviewed in- depth.With the wide range of now affordable quantitative methods, high-resolution sampling, and large datasets available across strata, outcrop research can offer unprecedented potential for outcrop-to-core-to-w... log correlation, and subsequent (paleo)environmental analysis while keeping data reproducibility at a high level.This book serves as a useful reference guide for geoscientists, academicians, and researchers, helping them keep pace with advances in technology and instrumentation and conduct state-of-the-art research in geosciences.

  • 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.

  • 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.

  • 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.

  • 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.

  • Handbook of Satellite Land Products

    • 1st Edition
    • 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.

  • Remote Sensing, Big Data, and GeoAI

    Exploring Applications with Geospatial Insights
    • 1st Edition
    • Erin Bunting + 3 more
    • English
    Remote Sensing, Big Data, and GeoAI: Exploring Applications with Geospatial Insights is an in-depth analysis of the transformative power of AI and Big Data in remote sensing. This book provides readers with the knowledge and tools to utilize these technologies to enhance decision-making and analysis. Starting from fundamental concepts, it progresses to advanced applications, offering accessible explanations and real-world examples to bridge the gap between theory and practice. The book uses a structured format to balance theoretical knowledge with immersive case studies, giving readers a deeper understanding of practical implications.It also covers ethical and legal considerations, making it an invaluable resource for researchers, professionals, and students keen on using AI and Big Data techniques in remote sensing to solve complex geospatial challenges.

  • GeoAI for Earth Observation Imagery

    Fundamentals and Practical Applications
    • 1st Edition
    • Dalton Lunga + 1 more
    • English
    GeoAI for Earth Observation Imagery: Fundamentals and Practical Applications comprehensively covers methodologies of AI and Machine Learning applications of image processing for Earth Observation (EO) Imagery. As traditional image processing methods face challenges with handling vast volumes of EO imagery, leading to efficiencies and limitations when extracting meaningful insights, AI-driven approaches can enhance the efficiency, accuracy, and scalability of image processing. Chapters cover essential methodologies including atmospheric compensation, image enhancement techniques like deblurring and superresolution, and advanced analysis methods such as semantic segmentation and object detection.Cutting-ed... approaches to computing, automating, and optimizing image processing tasks are also covered. Additionally, emerging trends in GeoAi and their implication on future research are reviewed. The book serves as an essential guide for navigating the complexities of spatial data and equips readers with knowledge to enhance their analytical capabilities.

  • Satellite Remote Sensing

    Past, Present and Future
    • 1st Edition
    • 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.

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