Remote sensing and photogrammetry print books and ebooks | Elsevier

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.

Remote Sensing, Big Data, and GeoAI

1st Edition
March 1, 2026
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.

Health Geography

1st Edition
March 1, 2026
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.

Multimodal Remote Sensing Fusion and Classification

1st Edition
March 1, 2026
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.

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.

Introduction to Radiative Transfer

1st Edition
February 1, 2026
Wouter Verhoef + 1 more
English

Introduction to Radiative Transfer: An Optical Remote Sensing Perspective focuses on the principles and applications of radiative transfer theory in geophysical media, equipping readers with the necessary knowledge to convert observed satellite data into real-world quantities.The mathematical background presented allows understanding of electromagnetic radiation propagation, interaction with various media, and observation by satellites. It provides an introduction to radiative transfer theories and methods with background information, with detailed mathematical principles and equations. It approaches the mathematical theory from a foundational level, building upon knowledge across an introductory section and more advanced modelling section.Introduction to Radiative Transfer: An Optical Remote Sensing Perspective benefits students, academics and early career researchers in Earth and environmental sciences who seek to deepen their understanding in preparation for more quantitative techniques in remote sensing.

Agricultural Applications of Earth Observation

1st Edition
February 1, 2026
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.

The Geoinformatics Frontier

1st Edition
January 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.

Deep Learning for Synthetic Aperture Radar Remote Sensing

1st Edition
January 1, 2026
Michael Schmitt + 1 more
English
Paperback
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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.

Utilizing Earth Observation Data in Reaching Sustainable Development Goals

1st Edition
December 1, 2025
Aqil Tariq + 2 more
English
Paperback
9 7 8 0 4 4 3 3 0 2 0 4 6
eBook
9 7 8 0 4 4 3 3 0 2 0 5 3

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.

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