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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.

BooksJournals

  • Deep Learning for Earth Observation and Climate Monitoring

    • 1st Edition
    • Uzair Aslam Bhatti + 3 more
    • English
    Deep Learning for Earth Observation and Climate Monitoring bridges the gap between deep learning and the Earth sciences, offering cutting-edge techniques and applications that are transforming our understanding of the environment. With a focus on practical scenarios, this book introduces readers to the fundamental concepts of deep learning, from classification and image segmentation to anomaly detection and domain adaptability. The book includes practical discussion on regression, parameter retrieval, forecasting, and interpolation, among other topics. With a solid foundational theory, real-world examples, and example codes, it provides a full understanding of how intelligent systems can be applied to enhance Earth observation and especially climate monitoring.This book allows readers to apply learning representations, unsupervised deep learning, and physics-aware models to Earth observation data, enabling them to leverage the power of deep learning to fully utilize the wealth of environmental data from satellite technologies.

  • Aerosols and Precipitation Over Africa

    Progress, Challenges, and Prospects
    • 1st Edition
    • Volume 7
    • Akintomide A. Akinsanola + 1 more
    • English
    Aerosols and Precipitation Over Africa: Progress, Challenges, and Prospects provides a clear picture of the complex interactions between aerosols and precipitation over Africa. The text begins with a close look at aerosol distribution, observational and modeling techniques, and climate models. This is followed by an examination of the effect of aerosol on precipitation and the latest advances in aerosol-precipitatio... studies. The editors then review regional and largescale variability. Later chapters include a climatological assessment of aerosol and precipitation properties, projected changes in precipitation and cloud patterns, and expected challenges for the future.With these interactions confounded by the large-scale dynamical systems over the continent, this book will provide a much-needed, detailed understanding of the complex connections between aerosol and precipitation over Africa. It will be a valuable resource for environmental researchers, academics, and policymakers studying the latest developments in aerosols and precipitation over Africa.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.

  • Computational Automation for Water Security

    Enhancing Water Quality Management
    • 1st Edition
    • Ashutosh Kumar Dubey + 4 more
    • English
    Computational Automation for Water Security: Enhancing Water Quality Management is a comprehensive and insightful guide which explores the challenges posed by inefficient and outdated practices, presenting innovative solutions to enhance decision-making, optimizing water treatment processes, and ultimately improving environmental outcomes. Through the coverage of advanced computational techniques, such as data analysis, machine learning, and optimization strategies, readers will gain a deep understanding of how computational automation can revolutionize decision-making. This book is an invaluable resource for professionals, researchers, and policymakers seeking to stay at the forefront of water quality management practices, harnessing the power of computational automation for a cleaner, healthier future.

  • Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems

    Prediction Models Exploiting Well-Log Information
    • 1st Edition
    • David A. Wood
    • English
    Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for subsurface geological prediction problems commonly encountered in applied resource evaluation and reservoir characterization tasks. The book provides insights into how the performance of ML/DL models can be optimized—and sparse datasets of input variables enhanced and/or rescaled—to improve prediction performances. A variety of topics are covered, including regression models to estimate total organic carbon from well-log data, predicting brittleness indexes in tight formation sequences, trapping mechanisms in potential sub-surface carbon storage reservoirs, and more.Each chapter includes its own introduction, summary, and nomenclature sections, along with one or more case studies focused on prediction model implementation related to its topic.

  • South Asian Summer Monsoon

    Processes, Prediction, and Societal Impacts
    • 1st Edition
    • Madhavan Nair Rajeevan + 2 more
    • English
    South Asian Summer Monsoon: Processes, Prediction, and Societal Impacts provides a stronger understanding of the monsoon environment and new information on the structure and dynamics of monsoon weather systems, onset and withdrawal processes, South Asian monsoon variability at all time scales, from Diurnal to multi-decadal, and human influence on the changing monsoon climate. Readers will also find updates on the present status and capability of short-to-medium range, extended-range, and seasonal monsoon prediction methods. Finally, the book's authors discuss the role of monsoon forecasts for sectoral applications in agriculture, water resources, drought and flood management, disaster management, public health, and energy.

  • Marine Geography

    Ocean Space and Sense of Place
    • 1st Edition
    • Barbara Bischof
    • English
    Marine Geography: Ocean Space and Sense of Place offers an innovative and comprehensive exploration of ocean spaces through the lens of geographic thought, establishing marine geography as a unique subdiscipline. It addresses the historical neglect of oceans in geography, providing core theories and approaches that can be applied to address geographic issues unique to this space, such as fisheries, blue economies, coastal development and management, mobilities and shipping, and maritime governance. Expanding traditional geographic concepts and incorporating the more-than-human elements inherent to this space, this work tweaks ways that geographic analysis can be applied to ocean systems in meaningful ways. This book explores mapping techniques and lays out the physical dynamics and scientific models that provide the contextual realities with which we engage these complex environments and explores how our land-based perspectives shape our interactions with the marine world. It assembles the innovative theoretical geographical frameworks being applied to address ocean spaces and provides the building blocks for establishing an ocean point of view. Filled with practical examples and foundational theories, this book serves as a vital resource for students, researchers, and anyone interested in bridging the gap between marine science and geography.

  • Sustainable Development Perspectives in Earth Observation

    • 1st Edition
    • Mukunda Behera + 4 more
    • English
    Sustainable Development Perspectives in Earth Observation offers expert insight into the latest progress made in terrestrial, oceanic, and atmospheric processes, and their interlinkage in the face of changing climate using Earth observation. By addressing the use of advanced datasets, measurement techniques, modeling approaches, analytical protocols, and interpretation methods, the editors have guided the book towards key advances in understanding the evolving dynamics of ecosystems, including coasts, exposure to extreme weather events, and advances in understanding of ocean-atmosphere interactions. Those working towards sustainability through Earth observation will find that this text is a valuable resource for understanding the changing dynamics of the environment in a warming world.

  • Deep Learning for Multi-Sensor Earth Observation

    • 1st Edition
    • Sudipan Saha
    • English
    Deep Learning for Multi-Sensor Earth Observation addresses the need for transformative Deep Learning techniques to navigate the complexity of multi-sensor data fusion. With insights drawn from the frontiers of remote sensing technology and AI advancements, it covers the potential of fusing data of varying spatial, spectral, and temporal dimensions from both active and passive sensors. This book offers a concise, yet comprehensive, resource, addressing the challenges of data integration and uncertainty quantification from foundational concepts to advanced applications. Case studies illustrate the practicality of deep learning techniques, while cutting-edge approaches such as self-supervised learning, graph neural networks, and foundation models chart a course for future development.Structur... for clarity, the book builds upon its own concepts, leading readers through introductory explanations, sensor-specific insights, and ultimately to advanced concepts and specialized applications. By bridging the gap between theory and practice, this volume equips researchers, geoscientists, and enthusiasts with the knowledge to reshape Earth observation through the dynamic lens of deep learning.

  • Artificial Intelligence in Future Mining

    • 1st Edition
    • Amir Razmjou + 1 more
    • English
    Artificial Intelligence in Future Mining explores the latest developments in the use of artificial intelligence (AI) in mining and how it will impact the industry’s future. The application of data science and artificial intelligence in future mining involves using advanced technologies to optimize operations, improve decision-making, and enhance safety and sustainability in the industry. After a brief history of AI in mining, the book's editors look closely at different AI techniques used. Chapters explore ocean mining, brine mining, and urban mining. With an eye towards sustainability, the editors then review the future of wastewater mining and green mining.The book wraps up with chapters on safety and risk, resource planning, and a larger discussion of the opportunities and challenges of mining with AI in the future. This book is a must-have for researchers and professionals who find themselves at the intersection of mining, engineering, and data science.

  • Artificial Intelligence for Subsurface Characterization and Monitoring

    • 1st Edition
    • Aria Abubakar
    • English
    Artificial Intelligence for Subsurface Characterization and Monitoring provides an in-depth examination of how deep learning accelerates the process of subsurface characterization and monitoring and provides an end-to-end solution. In recent years, deep learning has been introduced to the geoscience community to overcome some longstanding technical challenges. This book explores some of the most important topics in this discipline to explain the unique capability of deep learning in subsurface characterization for hydrocarbon exploration and production and for energy transition. Readers will discover deep learning methods that can improve the quality and efficiency of many of the key steps in subsurface characterization and monitoring.The text is organized into five parts. The first two parts explore deep learning for data enrichment and well log data, including information extraction from unstructured well reports as well as log data QC and processing. Next is a review of deep learning applied to seismic data and data integration, which also covers intelligent processing for clearer seismic images and rock property inversion and validation. The closing section looks at deep learning in time lapse scenarios, including sparse data reconstruction for reducing the cost of 4D seismic data, time-lapse seismic data repeatability enforcement, and direct property prediction from pre-migration seismic data.

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