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Remote Sensing, Big Data, and GeoAI
Exploring Applications with Geospatial Insights
- 1st Edition - October 1, 2025
- Editors: Erin Bunting, Jane Southworth, Cerian Gibbes, Hannah Herrero
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 6 7 4 1 - 3
- eBook ISBN: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 a foundational analysis and review exploring the transformative intersection of cuttin… Read more
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Request a sales quoteRemote Sensing, Big Data, and GeoAI: Exploring Applications with Geospatial Insights is a foundational analysis and review exploring the transformative intersection of cutting-edge technologies in remote sensing. From fundamentals to advanced applications, this book equips readers with the knowledge and tools needed to apply AI and Big Data to remote sensing research, in order to improve decision-making and analysis. The book employs a dual approach, providing accessible explanations followed by real-world examples and case studies to bridge the gap between theory and practice. Readers will gain a deeper understanding of practical implications through a structured format that balances theoretical knowledge with immersive case studies, and will also gain an appreciation for ethical and legal considerations, making it an invaluable resource. Remote Sensing, Big Data, and GeoAI: Exploring Applications with Geospatial Insights offers insights for researchers, professionals, and students interested in harnessing the latest AI and Big Data techniques in remote sensing to address complex geospatial challenges.
- Provides a full review of the development of Big Data and AI for remote sensing technologies, elucidating how we have begun to incorporate data and methods, and highlighting potential areas of growth
- Approaches the content from a practical but immersive angle, allowing readers to understand common data and methodological approaches with real world examples
- Includes chapters on emerging topics of consideration including the ethics/legality of using AI in remote sensing and how we teach such complex topics to students
Novice to intermediate academics, researchers, and advanced students in geography, geospatial sciences, and environmental sciences, or others as their work pertains to remote sensing, big data, and geoAI
1. Big Data in Geospatial Context: Challenges and Opportunities
2. Fundamental of GeoAI: Common Approaches in Remote Sensing
3. Earth Observations and Satellite Imagery in a Big Data World
4. Big Data Remote Sensing and Data Acquisition and Preprocessing
5. Big Data Analytics for Geospatial Applications
6. GEOAI Algorithms and Techniques for Image Analysis
7. Integration of Remote Sensing, Big Data, and GeoAI
8. Remote Sensing and Big Data Applications in Agriculture
9. Remote Sensing and Big Data Applications in Water
10. Remote Sensing and Big Data Applications in Coastal Environmental
11. Remote Sensing and Big Data Applications in Environmental Management
12. Environmental Monitoring and Conservation Using Remote Sensing and Big Data
13. Disaster Management and Remote Sensing Applications
14. Spatial Data Visualization and Interpretation as it Pertains to Big Data, Remote Sensing, and GeoAI
15. Ethical and Legal Considerations in Remote Sensing and Big Data
16. How Citizen Science and New Technologies can Integrate with Big Data
17. Bringing Big Data and GeoAI into the Classroom: Preparing Undergraduate and Graduate Students for the Future of Geospatial Research
18. Future Trends and Emerging Technologies in Remote Sensing, Big Data, and GeoAI
2. Fundamental of GeoAI: Common Approaches in Remote Sensing
3. Earth Observations and Satellite Imagery in a Big Data World
4. Big Data Remote Sensing and Data Acquisition and Preprocessing
5. Big Data Analytics for Geospatial Applications
6. GEOAI Algorithms and Techniques for Image Analysis
7. Integration of Remote Sensing, Big Data, and GeoAI
8. Remote Sensing and Big Data Applications in Agriculture
9. Remote Sensing and Big Data Applications in Water
10. Remote Sensing and Big Data Applications in Coastal Environmental
11. Remote Sensing and Big Data Applications in Environmental Management
12. Environmental Monitoring and Conservation Using Remote Sensing and Big Data
13. Disaster Management and Remote Sensing Applications
14. Spatial Data Visualization and Interpretation as it Pertains to Big Data, Remote Sensing, and GeoAI
15. Ethical and Legal Considerations in Remote Sensing and Big Data
16. How Citizen Science and New Technologies can Integrate with Big Data
17. Bringing Big Data and GeoAI into the Classroom: Preparing Undergraduate and Graduate Students for the Future of Geospatial Research
18. Future Trends and Emerging Technologies in Remote Sensing, Big Data, and GeoAI
- No. of pages: 375
- Language: English
- Edition: 1
- Published: October 1, 2025
- Imprint: Elsevier
- Paperback ISBN: 9780443267413
- eBook ISBN: 9780443267420
EB
Erin Bunting
Erin Bunting, Ph.D., is an Assistant Professor at Michigan State University (MSU) in the department of Geography, Environment, and Spatial Sciences. Additionally, she serves as the Director at Remote Sensing and GIS Research and Outreach services, a unique research group within the university. With a deep passion for geospatial technologies, Erin's research interests revolve around remote sensing, GIS, modelling, environmental management, and climate change/variability. Her extensive research experience spans Southern Africa, the Southwestern United States, South America, the Southeastern USA, and her home state of Michigan. Erin's role as the Director at RS&GIS involves overseeing a dynamic research group that operates like a consulting firm embedded within academia. This soft money research group engages in various projects and collaborations, providing expert advice and innovative solutions related to remote sensing and GIS applications.
Affiliations and expertise
Assistant Professor, Department of Geography, Environment, and Spatial Sciences, Michigan State University (MSU), USAJS
Jane Southworth
Jane Southworth is Full Professor and current Department Chair at the University of Florida, Department of Geography. Professor Southworth’s research interests are based on the study of social-ecological systems within the field of Land Change Science, Geospatial Science and GeoAI. Her particular foci are: remote sensing of vegetation dynamics with a focus on time-series and AI approaches to remotely sensed analyses and linkages with climatic drivers; linking changes in land use and land cover change to their respective drivers with a focus on land change modeling; the implications of scale and scaling in remote sensing and modeling analyses; addressing linkages and drivers of change as they relate to people and parks; and modeling of the impacts of climate change and changing climate variability on human-environment systems and vegetation dynamics. Since her arrival at UF in 2002, Dr. Southworth has been part of over $18 million in funded interdisciplinary research projects, published 2 books, over 100 peer-reviewed journal articles, and has successfully advised 24 PhD and 8 Masters students, with another 8 graduate students currently in progress.
Affiliations and expertise
Professor and current Department Chair, Department of Geography, University of Florida, USACG
Cerian Gibbes
Dr. Cerian Gibbes is an Associate Professor of Geography & Environmental Studies at the University of Colorado, Colorado Springs (UCCS). Her work examines the social and ecological impacts of landscape change with a particular interest in understanding land change in spaces where agriculture and conservation intermingle. Dr. Gibbes’ research uses multi-scalar and mixed methods approaches with a focus on remote sensing and geospatial technologies. Her work is primarily situated in southern Africa, Latin America, and the Caribbean. She is a University of Colorado Presidential Teaching Scholar (PTSP). The PTSP honors faculty throughout the University of Colorado system who excel in both scholarship and teaching. Dr. Gibbes' contributions extend beyond academia. She utilizes a highly collaborative approach in which she actively engages with local communities, government agencies, and nonprofit organizations to foster sustainable practices in environmental management.
Affiliations and expertise
Associate Professor of Geography & Environmental Studies, University of Colorado, Colorado Springs (UCCS), USAHH
Hannah Herrero
Dr. Hannah V. Herrero is a faculty member in the Department of Geography & Sustainability at the University of Tennessee. Her research interests are based on the study of human-environment interactions within the field of Land Change Science through the use of remote sensing and GeoAI technologies. All of her research is undertaken with highly interdisciplinary research teams, which involve both physical and social scientists. Within such interdisciplinary teams, her particular strengths lie in the remote sensing of vegetation dynamics and linkages to climate; land use and land cover change; people and parks; and the implications of scale and scaling in remote sensing and modeling analyses. Her work of understanding environmental change has a particular concentration on conservation of protected areas, as well as savanna science. While her work is applicable globally, she has a strong regional focus on southern Africa.
Affiliations and expertise
Faculty Member, Department of Geography and Sustainability, University of Tennessee, USA