Remote Sensing, Big Data, and GeoAI
Exploring Applications with Geospatial Insights
Series: Earth Observation;
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Product details:
- Publisher Elsevier Science
- Date of Publication 1 July 2026
- ISBN 9780443267413
- Binding Paperback
- No. of pages375 pages
- Size 229x152 mm
- Language English 700
Categories
Long description:
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.
Table of Contents:
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
