Buch, Englisch, 489 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Springer Natural Hazards
Transforming Disaster Management through Spatial Intelligence
Buch, Englisch, 489 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Springer Natural Hazards
ISBN: 978-3-032-34273-7
Verlag: Springer Nature Switzerland AG
Geospatial Insights - Transforming Disaster Management through Spatial Intelligence will provide a comprehensive exploration of how cutting-edge geospatial technologies and spatial thinking will reshape the landscape of disaster management. This book will delve into the future of disaster preparedness, response, recovery, and mitigation through the lens of spatial intelligence, drawing on innovations in remote sensing, GIS, real-time data analytics, and AI-driven modeling. The book will offer a multidisciplinary perspective, combining case studies, theoretical frameworks, and practical applications from around the world. It will demonstrate how spatial data will be leveraged to predict risks, optimize emergency logistics, guide policy decisions, and engage communities more effectively. Readers will gain insight into the evolving role of location intelligence in managing both natural and human-induced disasters - from floods, wildfires, and earthquakes to pandemics and complex humanitarian emergencies. By bridging the gap between geospatial science and crisis management, Geospatial Insights will serve as a foundational resource for researchers, practitioners, policy-makers, and students seeking to harness spatial intelligence for a safer, more resilient world.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Chapter 1. Conceptualizing Spatial Intelligence: Frameworks and Their Integration into Disaster Practices.- Chapter 2. Mapping Progress: The Technological Evolution of Spatial Intelligence in Disaster Management.- Chapter 3. Geospatial Data Essentials: Ensuring Quality and Accessibility in Disaster Response.- Chapter 4. Collaborative Synergy: Enhancing Disaster Management through Interdisciplinary Approaches.- Chapter 5. Mapping Resilience: The Role of Geographic Information Systems in Disaster Response.- Chapter 6. Tracking Disasters: The Impact of Remote Sensing Technologies on Damage Assessment and Recovery.- Chapter 7. Connected Resilience: The Role of IoT and Sensor Networks in Disaster Monitoring.- Chapter 8. Optimising Response: Transforming Disaster Management through Machine Learning Applications.- Chapter 9. Cross-Platform Compatibility: Ensuring Effective Geospatial Data Integration in Disaster Management.- Chapter 10. Spatial Intelligence in Action: Applications of Advanced Analysis Techniques for Disaster Preparedness.- Chapter 11. Predictive Modelling and Machine Learning in Disaster Management Forecasting the Future: Predictive Modelling and Machine Learning in Disaster Management.- Chapter 12. Ethics and Engagement: Ensuring Integrity in Data Analysis for Disaster Decision-Making.- Chapter 13. Community Voices: Engaging Local Knowledge in Disaster Preparedness and Response.- Chapter 14. Harnessing Spatial Intelligence: Resources and Frameworks for Community Resilience.- Chapter 15. Empowering Disaster Management: Analyzing Policy and Governance Structures for Community Engagement.- Chapter 16. Towards Tomorrow: Exploring Future Directions in Disaster Management and Community Engagement.




