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Books in Remote sensing and photogrammetry

  • Harnessing Earth Observation for Coastal Engineering

    • 1st Edition
    • Debashis Mitra + 3 more
    • English
    Harnessing Earth Observation for Coastal Engineering addresses the intersection of cutting-edge geoinformatics technologies and coastal engineering to tackle challenges in coastal processes and natural hazards. By offering robust methodologies and algorithms, the book equips students, researchers, and engineers with practical tools for immediate application. The global, real-world case studies provide insights into diverse decision-making tools and global perspectives on geoinformatics in coastal engineering and examples of the methodology in action. It goes on to promote protection and resilience by integrating geoinformatics seamlessly into coastal engineering practices, advancing knowledge and practice in the field.Users will find a great resource that not only addresses the pressing need for leveraging modern remote sensing and GIS technologies but also provides a blend of research insights and practical applications exploring advanced algorithms and techniques, allowing readers to effectively utilize new sensor data, extract vital information, and implement sustainable solutions in coastal zones worldwide.

  • Satellite Remote Sensing

    Past, Present and Future
    • 1st Edition
    • William J. Emery
    • English
    Satellite Remote Sensing: Past, Present and Future reviews the evolution of Earth remote sensing, from earlier technologies in aerial and satellite remote sensing of the Earth that paved the way for current techniques to current uses and applications. In addition, the book covers future capabilities and research goals. Sections discuss novel applications, interdisciplinary functions, and outline current uses and limitations of various remote sensing technologies, thus putting into context how breakthroughs were made in developments. This is a valuable reference for students, professors of foundational remote sensing courses, and researchers and professionals seeking a wider understanding of remote sensing and its capabilities.

  • Handbook of Satellite Land Products

    • 1st Edition
    • Shunlin Liang + 1 more
    • English
    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

    AI, Big Data, and Crowdsourced Technologies
    • 1st Edition
    • Kleomenis Kalogeropoulos + 3 more
    • English
    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.

  • Health Geography

    Innovative Geospatial Epidemiology
    • 1st Edition
    • Andreas Tsatsaris + 4 more
    • English
    Health Geography: Innovative Geospatial Epidemiology presents a comprehensive exploration of the fundamental principles and methodologies underpinning remote sensing for spatial epidemiology. Organised in two parts, the first delves into the methodology of utilizing cutting-edge remote sensing technologies to detect, analyze, and predict the spatial distribution of infectious diseases through the process of extracting critical information and creating accurate geospatial models for disease mapping and monitoring. The second part provides numerous case studies that illustrate the real-world applications and transformative potential of the interdisciplinary approaches, allowing the book to bridge the gap between theoretical knowledge and practical implementation. Health Geography is an indispensable resource for researchers, practitioners, and graduate students in spatial epidemiology, geospatial sciences, and geostatistics seeking to utilize the potential of remote sensing technologies in tackling spatial epidemiological challenges.

  • Integrative Sensing Strategies for Disaster Management

    • 1st Edition
    • Danlin Yu + 1 more
    • English
    Integrative Sensing Strategies for Disaster Management explores the synergy between airborne remote sensing and social data in addressing disaster management. The book provides a framework for leveraging diverse data sources to enhance response and resilience. Detailed chapters cover the fundamentals of remote sensing, data integration techniques, and ethical implications, showcasing practical case studies in urban flooding, air quality monitoring, and pandemic evaluation. The book is an essential resource for postgraduates, PhD students, researchers, and professors in Earth observation and disaster management.Users will find this book to be a great resource for advancing their understanding of integrated sensing technologies, including current challenges and emerging trends, and tactics on how to implement innovative solutions.

  • Models and Methods for Synthetic Aperture Radar Remote Sensing

    From Physics to Applications
    • 1st Edition
    • Pasquale Imperatore + 2 more
    • English
    Models and Methods for Synthetic Aperture Radar Remote Sensing: From Physics to Applications expansively outlines the use of SAR remote sensing in Earth Observation, offering state-of-the-art methodologies, broad applications and use cases, and a multidisciplinary approach. It explores basic and advanced methods, accompanied by practical applications and case studies, fostering a deep understanding and facilitating real-world problem solving in Earth Observation. Models and Methods for Synthetic Aperture Radar Remote Sensing provides invaluable insights into SAR technologies, enhancing research quality and relevance through reproducible methodology for Earth Observation and remote sensing researchers and academics, or Earth and Environmental scientists employing remote sensing techniques.

  • 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.