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.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Contributors - p. xiii 8. About the editors - p. xvii 9. Foreword - p. xix 10. 1. The Evolution of Big Data and GeoAI Within the Field of Remote Sensing - p. 1 11. 2. Foundations of Remote Sensing and Earth Observation - p. 43 12. 3. Getting Started in Big Data Remote Sensing - p. 91 13. 4. Big Data Analytics for Geospatial Applications - p. 133 14. 5. GEOAI Methods for Land Use and Land Cover Classification: Machine Learning and Deep Learning Approaches - p. 187 15. 6. Integration of Remote Sensing, Big Data, and GeoAI - p. 221 16. 7. Geovisualization and Remote Sensing: Bridging Complexity and Interpretation - p. 251 17. 8. Remote Sensing and Big Data Applications in Climate and Health - p. 279 18. 9. Remote Sensing and Big Data Applications in Coastal Environments - p. 301 19. 10. Environmental Monitoring and Conservation Using Remote Sensing and Big Data - p. 341 20. 11. Disaster Management and Remote Sensing Applications - p. 365 21. 12. Machine Learning and GeoAI for Medical Geography - p. 405 22. 13. Ethical and Legal Considerations in Remote Sensing and Big Data: Privacy, Justice, and Governance in the GeoAI EraS - p. 435 23. 14. How Citizen Science and New Technologies can Integrate with Big Data - p. 481 24. 15. Building AI Literacy Across the Curriculum: Integrating GeoAI and Big Data to Prepare Future Geospatial Leaders - p. 503 25. 16. Future Trends and Emerging Technologies in Remote Sensing, Big Data, and GeoAI - p. 529 26. Index - p. 547
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.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Contributors - p. xiii 8. About the editors - p. xvii 9. Foreword - p. xix 10. 1. The Evolution of Big Data and GeoAI Within the Field of Remote Sensing - p. 1 11. 2. Foundations of Remote Sensing and Earth Observation - p. 43 12. 3. Getting Started in Big Data Remote Sensing - p. 91 13. 4. Big Data Analytics for Geospatial Applications - p. 133 14. 5. GEOAI Methods for Land Use and Land Cover Classification: Machine Learning and Deep Learning Approaches - p. 187 15. 6. Integration of Remote Sensing, Big Data, and GeoAI - p. 221 16. 7. Geovisualization and Remote Sensing: Bridging Complexity and Interpretation - p. 251 17. 8. Remote Sensing and Big Data Applications in Climate and Health - p. 279 18. 9. Remote Sensing and Big Data Applications in Coastal Environments - p. 301 19. 10. Environmental Monitoring and Conservation Using Remote Sensing and Big Data - p. 341 20. 11. Disaster Management and Remote Sensing Applications - p. 365 21. 12. Machine Learning and GeoAI for Medical Geography - p. 405 22. 13. Ethical and Legal Considerations in Remote Sensing and Big Data: Privacy, Justice, and Governance in the GeoAI EraS - p. 435 23. 14. How Citizen Science and New Technologies can Integrate with Big Data - p. 481 24. 15. Building AI Literacy Across the Curriculum: Integrating GeoAI and Big Data to Prepare Future Geospatial Leaders - p. 503 25. 16. Future Trends and Emerging Technologies in Remote Sensing, Big Data, and GeoAI - p. 529 26. Index - p. 547
