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Books in Computers in geosciences

This portfolio encompasses advanced computational methods, data analysis, modelling, and visualization techniques tailored for geoscience applications. It supports geologists, geophysicists, and environmental scientists engaged in simulating Earth systems, interpreting large datasets, and developing innovative tools. Featuring state-of-the-art algorithms and case studies, these resources facilitate breakthroughs in seismic imaging, mineral exploration, and environmental monitoring, enabling researchers to solve complex geological problems with precision and efficiency.

BooksJournals

    • Handbook of Satellite Land Products

      • 1st Edition
      • May 1, 2026
      • Shunlin Liang + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 4 8 5 1
      • eBook
        9 7 8 0 4 4 3 2 1 4 9 7 4
      Handbook of Satellite Land Products compiles the key information of as many satellite products as possible for each essential land variable. It provides a comprehensive list of openly accessible high-level satellite products that characterize the essential land surface variables of the Earth system, including the original data sources, inversion algorithms, product characteristics, validation accuracy, and any existing applications. Each product includes satellite data inversion methodology and high-level product generation and application information, allowing for comparison of different products and selection of the correct ones for different applications.This book will help researchers, professors, and graduate students grasp the knowledge of existing satellite land products, understand the advantages and limitations, and follow the practical application examples.

    • The Geoinformatics Frontier

      • 1st Edition
      • April 1, 2026
      • Kleomenis Kalogeropoulos + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 1 5 7 4 9
      • eBook
        9 7 8 0 4 4 3 3 1 5 7 5 6
      The Geoinformatics Frontier: AI, Big Data, and Crowdsourced Technologies tackles the critical challenge of integrating Geoinformatics, AI, Big Data, and VGI; offering a comprehensive introduction to these pivotal concepts, the book elucidates their foundations and relevance to Geoinformatics. It approaches builds on the theory discussed with practical guidance, examples, and detailed case studies; equipping readers with the knowledge needed to effectively implement them. The book presents case studies spanning various sectors, showcasing how the technologies can be successfully employed to address intricate spatial issues and facilitate well-informed decision-making for the complexities of managing large-scale spatial datasets. It also provides indispensable insights into data collection, storage, quality control, and fusion techniques, offering practical solutions to the challenges of data storage, processing, and analysis. The Geoinformatics Frontier serves as an indispensable guide, bridging the gap in understanding and practice for geospatial scientists, empowering readers to harness the transformative potential of Geoinformatics and advanced computer technologies.

    • 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 delivers a thorough exploration of the latest computational innovations shaping geotechnical engineering. Divided into three distinct sections, the book first investigates stochastic, probabilistic, and reliability analyses, outlining modern methods for soil characterization, reliability-based design, and risk management in geotechnical projects. The second section spotlights the integration of artificial intelligence and machine learning, detailing data-driven solutions for analyzing geotechnical data and predicting soil behavior. The final section examines advanced numerical modeling approaches, such as the Finite Element, Finite Difference, and Discrete Element Methods.Beyond foundational techniques, the book discusses hybrid numerical strategies and emerging trends that promise to further transform computational geomechanics. It highlights practical applications and decision-making tools powered by AI, making it an essential reference for engineers, researchers, and practitioners aiming to enhance geomechanical analyses and design. With its comprehensive coverage, this volume is ideal for professionals seeking to stay at the forefront of computational methods in geotechnical engineering.

    • Comprehensive Cryospheric Science and Environmental Change

      • 1st Edition
      • March 2, 2026
      • Richard Kelly + 1 more
      • English
      • Hardback
        9 7 8 0 3 2 3 8 5 2 4 2 5
      • eBook
        9 7 8 0 3 2 3 8 5 8 9 3 9
      The cryosphere is where water is frozen on the Earth. It includes glaciers and ice sheets, sea ice and terrestrial snow cover, permanently and seasonally frozen ground, and frozen lakes and rivers. It is also where indigenous and non-indigenous communities reside across the high latitudes and at high altitudes. As a result of human-induced global warming, the cryosphere is shrinking in its coverage and changing in its temporal behavior, which will have profound implications for society.Comprehensiv... Cryospheric Science and Environmental Change, Four Volume Set provides a broad and comprehensive overview of the cryosphere and our understanding of its energy and mass processes. Containing approximately 80 chapters written by world-leading experts, it contextualizes the state of current cryosphere against past states over geologic time, explaining how and why the cryosphere is changing and what the implications are for the environment and society.Structured using an integrative approach, it draws together scientific understanding of the cryosphere from the perspective of fundamental physical principles, field experimentation, remote sensing observations and numerical modelling, to demonstrate how society will be impacted and respond to consequential environmental change. With the availability of sophisticated modelling tools and big data, scientific skill in modelling cryospheric systems has led to improved understanding of past cryospheric environments and increasingly skillful predictions of the future. With our evolving, yet not fully formed understanding of how society responds to environmental change, this work outlines current thinking around vulnerability, impact, adaptation and mitigation of cryosphere-induced environmental change, for example sea level rise, snow and sea ice season changes and permafrost degradation.Ideal for geoscience and earth/environmental science researchers of all levels, this one-stop reference work provides deep-level treatment of data science and the human responses to cryospheric change via a fully integrated, interdisciplinary approach.

    • Remote Sensing, Big Data, and GeoAI

      • 1st Edition
      • March 1, 2026
      • Erin Bunting + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 6 7 4 1 3
      • eBook
        9 7 8 0 4 4 3 2 6 7 4 2 0
      Remote Sensing, Big Data, and GeoAI: Exploring Applications with Geospatial Insights is an in-depth analysis of the transformative power of AI and Big Data in remote sensing. This book provides readers with the knowledge and tools to utilize these technologies to enhance decision-making and analysis. Starting from fundamental concepts, it progresses to advanced applications, offering accessible explanations and real-world examples to bridge the gap between theory and practice.The book uses a structured format to balance theoretical knowledge with immersive case studies, giving readers a deeper understanding of practical implications.It also covers ethical and legal considerations, making it an invaluable resource for researchers, professionals, and students keen on using AI and Big Data techniques in remote sensing to solve complex geospatial challenges.

    • 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.

    • Spatial Statistics and Analysis

      • 1st Edition
      • January 8, 2026
      • Anzhelika Antipova
      • English
      Spatial Statistics and Analysis: Techniques and Applications is an essential resource for anyone interested in the theory and application of spatial statistics. This comprehensive text delves into the principles, tools, and methods used in spatial analysis, making it invaluable for undergraduate and graduate students, researchers, and professionals across various fields including geography, public health, engineering, and social sciences. With hands-on exercises, the book guides readers through complex topics and ensures a deep understanding of spatial data analysis. In addition to covering key terms and tools, this valuable resource explores scales of measurement, data distributions, and spatial dataset visualizations.Other sections examine spatial statistical relationships, point and areal pattern analysis, complex spatial patterns, and geostatistical analysis. The text also addresses spatial error and uncertainty and includes practical applications of Markov chains. Supplementary resources such as instructional slides, lab activities, data sets, and graphic illustrations are provided to aid both teaching and learning.

    • Geospatial Information and Services for Climate Resilient Disaster Management

      • 1st Edition
      • November 28, 2025
      • Deepak Kumar + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 2 1 6 3
      • eBook
        9 7 8 0 4 4 3 2 9 2 1 7 0
      Geospatial Information and Services for Climate Resilient Disaster Management explores how cutting-edge technology can shape our response to climate-related disasters. Leading experts uncover the indispensable role that geospatial information and services can play in disaster preparedness, response, and recovery. The book opens with an overview of climate resilient disaster management and the application of geospatial technology. The chapters next undertake a thorough examination of early warning systems, risk assessment, vulnerability mapping, resource allocation, and disaster response. Following from those vital tools and applications, the editors then evaluate climate adaptation planning and community engagement in the light of geospatial technology.The book wraps up with real-world case studies and success stories along with a discussion of current challenges and future trends. Readers concerned with the rising connections between natural disaster and climate change will be inspired by this inside view of the latest innovations in geospatial information and services.

    • Geospatial Techniques in Climate Change Monitoring and Environmental Mapping

      • 1st Edition
      • Volume 10
      • November 20, 2025
      • Jung-Sup Um + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 3 9 6 2
      • eBook
        9 7 8 0 4 4 3 3 6 3 9 7 9
      Geospatial Techniques in Climate Change Monitoring and Environmental Mapping: Advances and Applications, Volume Ten delves into the novel methods and applications of remote sensing in climate-change studies. The book begins by exploring climate observation and monitoring, consolidating remote sensing data systems for environmental mapping, and tracking air pollution using remote sensing data. The volume covers the use of remote sensing data for monitoring and predicting climate change, characterizing land changes with climate time series data, and tracking climate change and tropical cyclones with geospatial techniques.It also discusses the system dynamics model of economic development and climate change, as well as climate change mitigation, adaptation, and future directions. Additionally, it addresses climate modeling, validation, uncertainty mapping, and the application of remote sensing data in government climate policies and sustainable risk reduction approaches for global climate change issues.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.

    • Deep Learning for Synthetic Aperture Radar Remote Sensing

      • 1st Edition
      • October 21, 2025
      • Michael Schmitt + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 3 4 4 3
      • eBook
        9 7 8 0 4 4 3 3 6 3 4 5 0
      Deep Learning for Synthetic Aperture Radar Remote Sensing delves into the transformative synergy between synthetic aperture radar (SAR) and cutting-edge machine learning techniques. Traditionally rooted in signal processing, SAR's active imaging capabilities rise above optical limitations, offering resilience to environmental factors like cloud cover. This book showcases how machine learning augments every stage of SAR image processing, from raw data refinement to advanced information extraction. Through comprehensive coverage of acquisition modes and processing methodologies, including polarimetry and interferometry, this book equips readers with the tools to harness SAR's full potential. Aiming to further enhance remote sensing imaging, it serves as a vital resource for those seeking to integrate SAR data seamlessly into the modern machine learning landscape. Deep Learning for Synthetic Aperture Radar Remote Sensing addresses a critical gap in the intersection of SAR technology and machine learning, offering a pioneering roadmap for researchers and practitioners alike. With its emphasis on modern techniques, it serves as a catalyst for unlocking SAR's untapped potential and shaping the future of Earth observation.