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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.

  • 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.

  • 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.

  • The Catchment to Coast Conundrum in Tanzania

    The Past, the Present, and the Future of Water Resources and Anthropogenic Activities
    • 1st Edition
    • Asukile R. Kajuni + 2 more
    • English
    The Catchment to Coast Conundrum in Tanzania: The Past, the Present, and the Future of Water Resources and Anthropogenic Activities is an essential book addressing the interactions between river basins and coastal and marine environments in the West Indian Ocean region (WIO). Key issues include water and sediment quality degeneration due to pollution, physical alteration, destruction of habitats, and changes in freshwater flows and sediment loads. The WIO region is experiencing rapid population growth, causing land-based activities to exert pressure on the marine environment, degrade critical coastal habitats, and alter freshwater flow and sediment loads into the WIO.The book emphasizes the importance of science-based ecosystem-centered management of river basins for the sustainability of ecosystems in the WIO region. It discusses increased human population pressure and inappropriate land uses in upper catchments as major causes of environmental degradation. This comprehensive guide aims to provide students and researchers with essential knowledge about the area and raise awareness on the significance of river restoration and conservation in river basin management, including coastal areas.

  • Physics of the Atmosphere

    • 1st Edition
    • Francisco J. Tapiador
    • English
    Physics of the Atmosphere offers a comprehensive overview of the processes of the Earth-atmosphere system. The text is organized into five parts beginning with a review of the mathematics that supports atmospheric physics. The second part lays the foundation by studying the Earth system, the atmosphere, solar and terrestrial radiation, electromagnetism, and thermodynamics. The third part examines water vapor, clouds, and precipitation. Various systems are detailed, such as tropical weather systems, extratropical cyclones, polar weather systems, mesoscale convective systems, and microscale phenomena. The book closes with a look at measurement and modeling including weather forecasting.Case studies are presented throughout to offer readers real-world examples of these concepts and their applications. This comprehensive survey of atmospheric physics will serve as an invaluable resource for those studying and practicing in meteorology, climatology and other related fields.

  • 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.

  • 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.

  • Reshaping Geotechnical Engineering with Machine Learning

    Theory, Applications, and Innovations
    • 1st Edition
    • Divesh Ranjan Kumar + 3 more
    • English
    Reshaping Geotechnical Engineering with Machine Learning: Theory, Applications, and Innovations explores the transformative impact of machine learning (ML) on the field of geotechnical engineering. The book begins by examining the broad applications of ML in key areas such as foundation engineering and slope stability, demonstrating how advanced algorithms can enhance predictive accuracy and decision-making. It emphasizes the importance of robust data acquisition and preprocessing techniques, which are critical for the successful implementation of ML models in geotechnical contexts. The text examines the use of machine learning for predicting soil behavior, a complex challenge in geotechnical engineering, and highlights its role in risk assessment and management.In addition, it also addresses the integration of ML with finite element modeling to improve the analysis of tunnel and underground stability. The applications of machine learning in understanding geotechnical materials further showcase the versatility of these techniques. It also covers experimental investigations, including laboratory and field studies, which provide essential data for model training and validation. Through detailed case studies, the book illustrates practical implementations of machine learning, bridging theory and real-world problem-solving.

  • 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.

  • Ground Penetrating Radar

    Theory and Practice
    • 2nd Edition
    • Erica Carrick Utsi
    • English
    Ground Penetrating Radar: Theory and Practice, Second Edition provides well-thought-out, fully updated, and expanded coverage of this NDT, trenchless technique for investigating the subsurface. Written by a recognized field specialist, the volume clearly explains not only how the technology works with introductions to the underlying physics and formation of signal patterning, but also spotlights how it can be successfully applied, including experiential insights into how parameters such as wavelength, attenuation (loss), environment, target size, and depth need proper consideration in any sampling strategy to obtain good survey results.Additional chapters explore a variety of methods for velocity calibration and suggest where they may be useful, review data processing, and address signal loss in challenging soil conditions and potential problem environments with a suite of useful resolution best practices. New to this edition are discussions on specialist GPR applications and state-of-the-art innovations (e.g., data digitization tools; machine learning, deep learning, artificial intelligence to improve detection and reliability in data interpretation; and robotization).

  • 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.

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