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.

  • 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. By bridging theoretical knowledge with actionable insights, The Soil Nexus: Understanding Ecosystem Dynamics and Digital Innovations equips readers to navigate complex soil-related challenges while promoting collaborative efforts in soil stewardship.

  • 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.

  • Sustainability in Geology and Mining

    Cutting-Edge Methods and Technologies
    • 1st Edition
    • Hoang Nguyen + 6 more
    • English
    Sustainability in Geology and Mining: Cutting-Edge Methods and Technologies offers the latest thinking on sustainable and responsible mining practices, including environmental impact assessments and ethical mining regulations. Chapters explore a comprehensive range of topics, including geological exploration techniques and innovative prospecting technologies such as satellite imaging and artificial intelligence. Applications such as mineral resource assessment and estimation methods, various mining techniques, and mineral processing and extraction processes are covered. Discussions on environmental and social considerations, regulatory frameworks, and future trends and challenges offer diverse perspectives and in-depth insights.Readers will find an impressive collection of expert contributing authors who reflect on the industry's growing commitment to ethical and eco-conscious approaches. Practitioners in geology and mining will find a great deal to explore and further consider in this fascinating look at the opportunities for sustainability in mining.

  • Mine Tailings

    Fundamental and Engineering Aspects of Colloidal/Fine Mine Wastes
    • 1st Edition
    • Akira Otsuki + 3 more
    • English
    Mine Tailings: Fundamental and Engineering Aspects of Colloidal/Fine Mine Wastes offers an in-depth examination of mine waste and related issues such as storage, safety, environmental impact, water management, and sustainability. The book begins with a review of regulations and global standards for tailings management that is followed by an analysis of common types of tailings storage facilities. The book delves into the behavior of tailings materials, including particle interactions, dispersion/aggregati... and the rheology of mineral suspensions. It covers soil mechanics and toxic substance treatment, as well as managing the closure and safety of mine waste management facilities.Additiona... it addresses the environmental, social, and governance factors essential for sustainable mining operations, making it a valuable resource for those concerned with mine waste management. This comprehensive text is crucial for researchers and engineers aiming to understand and mitigate the impacts of mine waste.

  • Multimodal Remote Sensing Fusion and Classification

    Algorithms and Applications
    • 1st Edition
    • Man-On Pun + 1 more
    • English
    Multimodal Remote Sensing Data Fusion for Classification: Algorithms and Applications offers a comprehensive overview of Earth observation data fusion, focusing on multimodal remote sensing. It presents state-of-the-art algorithms and practical applications that enhance understanding of Earth's dynamic processes. Through detailed analysis, case studies, and practical examples, this book equips readers with the necessary tools to effectively utilize multimodal data fusion for land cover and land use classification, as well as environmental monitoring, making it an invaluable resource for those in remote sensing and Earth sciences.Furthermore... the book is tailored for Masters and Doctorate students, scientists, and professionals in remote sensing, geography, and Earth sciences. It delves into the integration and analysis of multimodal remote sensing data, offering insights into sustainable solutions for environmental challenges. This comprehensive coverage ensures readers are well-versed in the cutting-edge techniques and methodologies required for advanced Earth observation and classification tasks.

  • Phanerozoic Large Igneous Provinces

    A Comparative Approach
    • 1st Edition
    • Gregory Shellnutt + 1 more
    • English
    Phanerozoic Large Igneous Provinces: A Comparative Approach offers a comprehensive exploration of the intricacies of large igneous provinces (LIPs) by adopting a multidisciplinary approach that unravels the geological, thermal, and biological repercussions of LIP formation. The rapid emplacement of these provinces, often associated with continental break-up, mineral deposits, and mass extinctions remains a subject of intense debate. This book presents an accessible, yet detailed, analysis of several Phanerozoic LIPs, strategically selected for their scientific significance, and arranged chronologically. It provides a foundational reference for LIPs, utilizing a chapter-wide template to facilitate comparisons of crucial aspects and processes. Users will find comprehensive knowledge on over 20 important LIPs, including historical context and uniqueness, geological background, physical characteristics and formations, age and geochronology, mineralogy, and synthesis.

  • 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 techniques and applications of data science in the geosciences. Sections cover essential, foundational concepts in data cleaning and preprocessing, thus ensuring the quality and reliability of geoscientific data. Next, the book explores dimensionality reduction methods designed to simplify high-dimensional data without losing critical information. The text covers classification and prediction techniques that enable the identification of patterns and forecasting of geological phenomena, and graphical data processing and handling of infinite stream data and time series are highlighted, along with their importance in real-time monitoring and dynamic systems analysis.In addition, 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.

  • 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.

  • Rock Fracture

    Theories, Modeling Methods, and Engineering Applications
    • 1st Edition
    • Shibin Tang + 1 more
    • English
    Rock Fracture: Theories, Modeling Methods, and Engineering Applications explores the principles and advanced techniques used to understand and predict rock fracture behavior. Sections discuss the theoretical framework of fracture mechanics, examining how factors like T-stress influence brittle rock failure under various loading conditions, including compression and tension. It then discusses various modeling approaches for crack propagation, such as fracture mechanics criteria, localized stress models, and their applications to different rock specimens and fault configurations. Hydraulic fracturing theories, including numerical models for fracture initiation and propagation around boreholes, along with the effects of end friction and jointed rock mass failure are also addressed.Finally, the book investigates the progressive failure of rock slopes, emphasizing the importance of numerical simulations to anticipate failure modes like toppling and shear failure. This comprehensive treatment underscores the importance of combining theoretical understanding with modeling techniques to optimize engineering practices. Ultimately, this book offers valuable insights for researchers and engineers committed to safer and more efficient rock engineering solutions.

  • Advances in Remote Sensing for Forest Fire Management

    Technologies, Applications, Case Studies and Future Directions
    • 1st Edition
    • Carmen Quintano + 3 more
    • English
    Advances in Remote Sensing for Forest Fire Management: Technologies, Applications, Case Studies and Future Directions provides a theoretical foundation to Earth Observation methodologies, algorithms, and technologies for analyzing forest fires. From detection to damage assessment, this book offers a comprehensive understanding of forest fires, incorporating insights from remote sensing, ecology, forest management, and meteorology. Through real-world case studies and the utilization of state-of-the-art deep learning and artificial intelligence (AI) algorithms on remote sensing data, readers will gain a multidisciplinary perspective on forest fire management. This is essential for graduate students, researchers, and professionals seeking to utilize remote sensing techniques to further their research and knowledge of forest fire management through cutting-edge remote sensing technologies and interdisciplinary insights.

Related subjects