Skip to main content
Elsevier

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.

  • 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.

  • 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.

  • Landslide Science

    Geospatial Advances in Monitoring, Modeling, and Management
    • 1st Edition
    • Christos Polykretis + 3 more
    • English
    Landslide Science: Geospatial Advances in Monitoring, Modeling, and Management presents a detailed exploration of the latest advancements in landslide research, offering a thorough examination of the latest geospatial technologies and methodologies. The book begins with a comprehensive exploration of landslides, starting with an understanding of their nature, including characteristics, types, and historical perspectives. Factors triggering or influencing landslides are examined, such as rainfall, earthquakes, and topographical influences. Remote sensing techniques for landslide investigation are detailed, covering detection, monitoring, and imagery data processing methods using various sensors and technologies.In addition, spatial landslide assessment and mapping are discussed, including inventory mapping, susceptibility assessment, and hazard assessment utilizing different approaches and uncertainty validation methods. Engineering-based landslide analysis focuses on geotechnical aspects, hydrogeological influences, and methodologies for simulations and slope stability analysis. The book also addresses landslide impacts and risk management strategies, covering vulnerability assessment, risk analysis, environmental consequences, prevention, mitigation strategies, and community engagement.

  • The Soil Nexus

    Understanding Ecosystem Dynamics and Digital Innovations
    • 1st Edition
    • Hamid Reza Pourghasemi + 1 more
    • English
    The Soil Nexus: Understanding Ecosystem Dynamics and Digital Innovations explores the intricate relationships between soil health, ecosystem function, and cutting-edge technologies. This comprehensive book examines the critical role of soil in biogeochemical cycles, microbial dynamics, and sustainable agricultural practices while also addressing contemporary challenges such as climate change and urbanization. Key methodologies, including digital soil mapping, artificial intelligence, and innovative restoration techniques are examined in detail, providing readers with practical insights and case studies that illustrate the real-world applications of these advancements.This book serves as an invaluable resource for soil scientists and environmental researchers engaged in soil studies and management. Graduate students and professionals will find the comprehensive analysis of emerging technologies and methodologies particularly beneficial for enhancing their research and practical applications.

  • Harmonizing Earth Observation Data for Enhanced Spatial Analysis

    • 1st Edition
    • Tomaž Podobnikar
    • English
    Harmonizing Earth Observation Data for Enhanced Spatial Analysis explores the critical aspects of Earth observation (EO) data and its pivotal role in spatial analysis. The book begins by addressing the quality aspects of EO data, emphasizing the importance of reliable and accurate information for meaningful analysis. It reviews the interaction and integration of various EO datasets, highlighting the necessity of combining diverse data sources to enhance analytical outcomes. In addition, sections cover essential techniques such as downsampling, generalization, and upsampling, providing insights into how these processes can optimize data usability while maintaining integrity.A significant focus is placed on harmonization, detailing strategies to reduce uncertainty and improve data consistency across multidimensional datasets. This harmonization is crucial for effective spatial analysis, which relies on coherent datasets to derive actionable insights. Additionally, the book discusses the interplay between EO and geospatial data, illustrating how their integration can enhance spatial analysis capabilities. It presents comprehensive workflows and tools that facilitate advanced spatial analysis, equipping researchers and practitioners with the necessary resources to harness EO data effectively.

  • AI Below the Surface

    Navigating the Deep Ocean with Intelligence
    • 1st Edition
    • 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.

  • SAR Oceanography

    Monitoring Oceanic Dynamics with Synthetic Aperture Radar
    • 1st Edition
    • Weizeng Shao
    • English
    SAR Oceanography: Monitoring Oceanic Dynamics with Synthetic Aperture Radar is an authoritative reference for scientists and professionals involved in marine remote sensing and oceanography. The book addresses the critical need for advanced techniques to observe and analyze ocean surface phenomena such as wind, waves, currents, internal waves, and oil spills using SAR technology. It emphasizes the importance of SAR in tropical cyclone monitoring, providing insights into high-resolution, all-weather, day-and-night observations essential for climate research, disaster response, and maritime safety.The book's content is divided into chapters covering SAR algorithms, applications in different oceanic processes, and recent technological developments. It offers practical case studies and validation methods, making it a valuable resource for researchers, meteorologists, environmental policymakers, and remote sensing specialists. This publication enhances understanding of ocean dynamics and supports sustainable marine management through cutting-edge SAR applications.

  • 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.

  • Subsurface Data Assimilation

    Theory and Applications
    • 1st Edition
    • 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.

  • Remote Sensing for Vegetation Monitoring

    Technologies, Applications and Models
    • 1st Edition
    • Prem Chandra Pandey + 3 more
    • English
    Remote Sensing for Vegetation Monitoring: Technologies, Applications and Models provides insight on the pivotal role that remote sensing plays in vegetation monitoring. As traditional field assessments face challenges due to inaccessible study sites and lengthy data collection, this book offers a comprehensive view of remote sensing applications for monitoring various vegetation ecosystems, including forests, grasslands, mangroves, and agriculture. The book presents a coherent and consistent structure, across five sections that build upon prior knowledge and detail the quantitative and qualitative assessments made possible through remote sensing technologies. Remote Sensing for Vegetation Monitoring: Technologies, Applications and Models caters to a diverse audience, including researchers and practitioners seeking to navigate the evolving landscape of vegetation monitoring through case studies, new algorithms and state-of-the-art methods.

Related subjects