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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

    • Geospatial Techniques in Climate Change Monitoring and Environmental Mapping

      • 1st Edition
      • Volume 11
      • February 1, 2026
      • Jung-Sup Um + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 2 4 6 3
      • eBook
        9 7 8 0 4 4 3 3 3 2 4 7 0
      Geospatial Techniques in Climate Change Monitoring and Environmental Mapping: An Interdisciplinary Approach to Risk Reduction presents a comprehensive examination of innovative geospatial methods utilized to address the challenges posed by climate change across various sectors. The book encompasses a wide array of topics, including the application of remote sensing in agriculture, urban climate change mitigation, and the evaluation of land use effects on surface temperatures. It highlights the integration of advanced technologies such as machine learning and satellite imagery to enhance drought risk mapping, deforestation detection, and flood prediction, providing valuable insights into environmental sustainability. Moreover, the text emphasizes participatory approaches and the role of local communities in climate resilience. By synthesizing interdisciplinary perspectives, the book underscores the importance of collaborative efforts in developing effective mitigation and adaptation strategies. Ultimately, this work serves as a vital resource for researchers and practitioners committed to leveraging geospatial techniques for effective climate change risk reduction and environmental management.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.

    • Exoplanet Detection Methods

      • 1st Edition
      • January 1, 2026
      • Camilla Danielski
      • English
      • Paperback
        9 7 8 0 4 4 3 3 1 6 2 6 5
      • eBook
        9 7 8 0 4 4 3 3 1 6 2 7 2
      Exoplanet Detection Methods: Uncovering the Evolution of Planetary Systems is a comprehensive guide that delves into modern techniques for detecting exoplanets. It explores current methods while unravelling the fascinating story of planetary system evolution. Each chapter is meticulously structured to introduce detection methods, offer step-by-step instructions, analyze datasets, and present available instrumentation. This book caters to both beginners and seasoned researchers, providing them with the means to understand the characteristics and evolutionary timelines of different planetary populations.Beyond methodological insights, the book includes online proposal case studies, curated lists of resources, and further detailed step-by-step methods. This makes it an indispensable companion for those venturing into exoplanetary studies or working on planetary demographics.

    • GNSS Applications to Monitor Natural Hazards

      • 1st Edition
      • March 1, 2026
      • Joseph Awange
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 4 6 5 3
      • eBook
        9 7 8 0 4 4 3 2 1 4 6 6 0
      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.

    • Agricultural Applications of Earth Observation

      • 1st Edition
      • February 1, 2026
      • Peng Fu
      • English
      • Paperback
        9 7 8 0 4 4 3 3 8 3 4 5 8
      • eBook
        9 7 8 0 4 4 3 3 8 3 4 6 5
      Agricultural Applications of Earth Observation details the revolutionary impact of satellite and remote sensing technologies in enhancing agricultural practices. It bridges the knowledge gap by making advanced satellite and sensor data understandable and applicable, enabling readers to select the best tools for specific agricultural needs. Real-world case studies and practical examples demonstrate the successful implementation of Earth Observation technologies in agriculture, inspiring readers with tangible results and encouraging innovative thinking. Agricultural Applications of Earth Observation enables readers to apply Earth Observation technologies to enhance agronomical sustainability and contribute to more environmentally friendly practices. With detailed methodologies and a range of additional supplementary elements, the book equips readers with the knowledge and tools to drive the future of agriculture into a more sustainable era.

    • Weather and Climate

      • 1st Edition
      • Volume 13
      • April 1, 2026
      • Simon Driscoll + 6 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 0 3 6 0 6
      • eBook
        9 7 8 0 4 4 3 4 0 3 6 1 3
      Weather and Climate: Applications of Machine Learning and Artificial Intelligence provides a comprehensive exploration of machine learning in the context of weather forecasting and climate research. The authors begin with an introduction to the fundamentals and statistical tools of machine learning, followed by 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 weather and climate research. It explores the interface of data assimilation and machine learning for weather forecasting, showcasing case studies of machine learning applied to environmental monitoring data. The book concludes by looking 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.

    • Remote Sensing at Night

      • 1st Edition
      • February 1, 2026
      • Qingling Zhang
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 0 2 4 0
      • eBook
        9 7 8 0 4 4 3 3 0 0 2 5 7
      Remote Sensing at Night: Technologies, Applications, and Perspectives delves into the pivotal role of remote sensing in deciphering Earth's nocturnal landscapes. This comprehensive resource utilizes a range of case studies to make complex topics accessible to a diverse audience with varied scientific backgrounds. The book emphasizes recent advances in remote sensing technology, encompassing nightlight, thermal infrared, and Synthetic Aperture Radar (SAR) capabilities facilitated by state-of-the-art Earth observation satellites. The book also explores the technological advancements in nighttime monitoring for practical and research purposes, Earth observation datasets, and the challenges faced. It equips readers with multidisciplinary knowledge and practical solutions for nighttime monitoring, providing up-to-date global case studies and methodologies for researchers, graduate students, scientists, and academics in remote sensing, geospatial research, and environmental science.

    • The Trench Biosphere at the Bottom of the Ocean

      • 1st Edition
      • April 1, 2026
      • Jiasong Fang + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 6 1 0 1
      • eBook
        9 7 8 0 4 4 3 2 7 6 1 1 8
      The Trench Biosphere at the Bottom of the Ocean: Progress and Challenges provides a comprehensive and critical analysis of the trench biosphere, examining the geological and physiochemical constraints on trench microorganisms (bacteria, archaea, fungi) and fauna, along with their molecular adaptation mechanisms to extreme conditions. Edited by experts in the field, the book addresses the presence of emerging and legacy environmental pollutants in trenches, state-of-the-art technologies and devices for sampling and analysis, and introduces a big-data platform for curating biological, genetic, and natural product resources in hadal trenches. A necessary guide for students and researchers in the field of Environmental Science, this book provides the latest information on biological processes and the biological and genetic resources found in the deep ocean.

    • Advances in Computational Geomechanics

      • 1st Edition
      • April 1, 2026
      • Mohamed Shahin + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 7 0 8 5
      • eBook
        9 7 8 0 4 4 3 2 7 7 0 9 2
      Advances in Computational Geomechanics: Advanced Computational Techniques and Methodologies in Geotechnical Engineering provides a comprehensive overview of cutting-edge computational methodologies in geotechnical engineering. The book is divided into three parts, each focusing on different aspects of computational geomechanics. The first part examines stochastic, probabilistic, and reliability analyses in geotechnical engineering, covering stochastic methods, probabilistic approaches to soil characterization, reliability analysis in geotechnical design, and risk assessment and management in geotechnical projects. The second part delves into artificial intelligence (AI) and machine learning applications in geotechnical engineering, including machine learning algorithms for geotechnical data analysis, AI-based predictive models for soil behavior and properties, AI in geotechnical risk and decision-making, and data-driven approaches for soil classification and site characterization. The third part focuses on numerical modeling and analysis techniques, such as the Finite Element Method (FEM), Finite Difference Method (FDM), Discrete Element Method (DEM), and explores hybrid numerical methods and future directions in computational geomechanics. This book serves as a valuable resource for geotechnical engineers, researchers, and practitioners seeking to leverage advanced computational tools for geomechanical analyses and design.

    • Applied Hydrology and Green Infrastructure Systems

      • 1st Edition
      • January 1, 2026
      • Joseph Schulenberg + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 6 7 6 3 5
      • eBook
        9 7 8 0 4 4 3 2 6 7 6 4 2
      Applied Hydrology and Green Infrastructure Systems combines theoretical insight with practical applications. This textbook captures the latest developments in green infrastructure and offers the skills that are necessary to interpret and solve complex hydrology and hydraulics problems. Integrating traditional hydrologic principles with cutting-edge green infrastructural solutions, it provides a foundation into groundwater dynamics, hydrological processes, and sustainable sewer design. It paves the way for understanding the importance of environmentally conscious practices in water resource management.The book is divided into three parts. Part One offers a deep exploration of groundwater dynamics and describes saturated and unsaturated flow principles. It then explores steady-state and transient well hydraulics, flow nets, and strategies for ensuring sustainable groundwater availability. Part Two largely focuses on hydrology, diving into surface runoff processes, unit hydrographs, and the application of NRCS unit hydrograph methodology. Probability and statistics in hydrology are introduced followed by hydrologic frequency analyses. Lastly, Part Three describes sewer design, green infrastructure, and water transmission. The principles of sewer system design with an emphasis on sustainability and the integration of green infrastructure are discussed.Applied Hydrology and Green Infrastructure Systems is a valuable resource for upper-level undergraduate students in environmental sciences studying engineering hydrology, hydraulics and hydrology. It is also useful for engineers, urban planners, and consultants who are looking for practical guidance to incorporate green infrastructure into urban design and development. This textbook contains case studies, self-assessments, spreadsheet shells, and a solutions manual as additional resources for students and instructors.

    • Multimodal Remote Sensing Fusion and Classification

      • 1st Edition
      • March 1, 2026
      • Man-On Pun + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 1 5 2 4
      • eBook
        9 7 8 0 4 4 3 2 9 1 5 3 1
      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.

Related subjects

Atmospheric science

Computers in geosciences

Earth surface processes

Economic geology

Geochemistry and petrology

Geology

Geophysics

Geotechnical engineering engineering geology

Marine science and technology

Mineral processing

Space and planetary science