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Books in Earth surface processes

Covering erosion, sediment transport, landscape evolution, and hydrology, this collection provides in-depth insights into dynamic surface phenomena. It supports geoscientists, geomorphologists, and environmental engineers seeking to understand and manage Earth's surface changes. Featuring innovative research, field studies, and modelling approaches, these resources help address environmental challenges, natural hazards, and land use planning, fostering sustainable interactions with our planet’s surface environments.

  • Applied Hydrology and Green Infrastructure Systems

    • 1st Edition
    • Joseph Schulenberg + 2 more
    • English
    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.

  • 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.

  • Remote Sensing, Big Data, and GeoAI

    Exploring Applications with Geospatial Insights
    • 1st Edition
    • Erin Bunting + 3 more
    • English
    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.

  • GNSS Applications to Monitor Natural Hazards

    • 1st Edition
    • Joseph Awange
    • English
    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.

  • 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.

  • Agricultural Applications of Earth Observation

    • 1st Edition
    • Peng Fu
    • English
    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.

  • Utilizing Earth Observation Data in Reaching Sustainable Development Goals

    • 1st Edition
    • Aqil Tariq + 2 more
    • English
    Utilizing Earth Observation Data in Reaching Sustainable Development Goals explores the transformative potential of Earth observation data through case studies showcasing its pivotal role in achieving Sustainable Development Goals (SDGs) in developing regions. The book begins with a historical and theoretical overview of EO data missions, then shifts to actionable SDGs, highlighting successes, challenges, and lessons learned. This comprehensive work delves into the dynamic interplay between technology and sustainability. The book utilizes a consistent template for each chapter, exploring instances where satellite imagery, remote sensing, and geospatial analytics converge to provide actionable insights.It emphasizes both achievements and obstacles, offering practical solutions and strategies for effective implementation.

  • Satellite Remote Sensing for Forest and Environmental Monitoring

    • 1st Edition
    • Pablo Rodríguez Gonzálvez + 2 more
    • English
    Satellite Remote Sensing for Forest and Environmental Monitoring provides a thorough examination of the applications and methods of satellite remote sensing for analyzing and managing forest environments. From forest height mapping to biodiversity modeling, the book explores a variety of Earth observation applications across cutting-edge sensors and platforms. The book addresses the ability of satelitte technologies to observe and analyse ecological functions, conditions, and socioeconomic benefits for sustainable nature protection in the face of anthropogenic change, offering practical tools and strategies for large-scale forest inventories, fire risk assessment, and freshwater management. Satellite Remote Sensing for Forest and Environmental Monitoring offers postgraduates, researchers, and academics in remote sensing and geospatial technologies, particularly those focusing on forestry applications and related disciplines insights into environmental changes, land use patterns, vegetation mapping, and climate indicators.

  • Data-Driven Earth Observation for Disaster Management

    From Theory to Practical Applications
    • 1st Edition
    • Xiao Huang + 3 more
    • English
    Data-Driven Earth Observation for Disaster Management: From Theory to Practical Applications delves into the critical role of Earth observation data and technologies in predicting, managing, and mitigating a spectrum of disasters. With a multidisciplinary approach encompassing geography and geospatial science, the book addresses the challenges of comprehending and managing disasters in our rapidly changing world. Offering solutions through insights into early detection, prediction, management, and prevention, it provides strategies for understanding Earth surface changes and the application of Earth Observation technologies. Readers will gain understanding on how to use Earth observation data and techniques in studying different domains of disaster management.Chapters follow a consistent format, featuring introductory summaries, key takeaways, and a focus on the role of Earth observation, enhancing both comprehensibility and searchability. The book also includes case studies and practical applications of Earth observation technologies, providing context and demonstrating the tangible impact of the techniques covered.

  • Earth Observation using Scatterometers

    State-of-the-Art Techniques, Applications, and Challenges
    • 1st Edition
    • Sartajvir Singh + 4 more
    • English
    Earth Observation using Scatterometers: State-of-the-Art Techniques, Applications, and Challenges explores the critical role scatterometers play in addressing natural disasters, climate action, and food security. It provides comprehensive guidance on leveraging scatterometers for real-time applications, including advanced techniques like super-resolution mapping and multi-source data fusion. This book is an essential resource for understanding the challenges and opportunities of scatterometer satellite datasets. In addition to covering the latest advancements in algorithms and emerging applications, it empowers professionals to efficiently analyze vast amounts of Earth observation data.The book addresses scatterometers' expanding applicability in oceanography, agriculture, the cryosphere, and related Earth-science fields, making it invaluable for scientists, geospatial data analysts, and students of Remote Sensing and Geoscience.

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