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Full Description
Advances in Remote Sensing for Forest Fire Management: Technologies, Applications, Case Studies and Future Directions provides a theoretical foundation to Earth Observation methodologies, algorithms, and technologies for analyzing forest fires. From detection to damage assessment, this book offers a comprehensive understanding of forest fires, incorporating insights from remote sensing, ecology, forest management, and meteorology. Through real-world case studies and the utilization of state-of-the-art deep learning and artificial intelligence (AI) algorithms on remote sensing data, readers will gain a multidisciplinary perspective on forest fire management. Advances in Remote Sensing for Forest Fire Management: Technologies, Applications, Case Studies and Future Directions is essential for graduate students, researchers, and professionals seeking to utilise remote sensing techniques to further their research and knowledge of forest fire management through cutting-edge remote sensing technologies and interdisciplinary insights.
Contents
PART I: INTRODUCTION AND BACKGROUND
1. The Growing Challenge of Forest Fires
2. Overview of the global wildfire scenario and its impacts on ecosystems
3. Fundamentals of remote sensing applied to wildfire studies
4. The evolution of wildfire monitoring techniques from traditional methods to advanced technological approaches
5. Ground validation of remote sensing wildfires and connections to modeling
6. The importance of integrating technology in wildfire management strategies
7. The drivers of Extreme wildfires
PART II: TECHNOLOGICAL INNOVATIONS ACROSS THE FOREST FIRE MANAGEMENT CYCLE
8. Introduction to Forest Fires and Management Cycles: Overview of forest fire ecology, the significance of fire in ecosystem dynamics, and the need for integrated management strategies
9. Risk Assessment Through Remote Sensing: Predictive modeling, fuel mapping, and vulnerability analysis
10. Detection Technologies Satellite, aerial, and UAV-based detection; AI in fire detection. Monitoring Forest Fires in Real-Time Utilizing thermal imagery and real-time data analysis for fire tracking
11. Post-Fire Damage Assessment: burned area
12. Post-Fire Damage Assessment and Mapping: fire severity
13. Regeneration and Restoration: Guiding Principles and Practices. Insights into ecosystem resilience, restoration strategies, and the role of technology in monitoring regeneration. Case studies of successful restoration efforts guided by remote sensing data
14. Wildland-Urban Interface (WUI): Challenges and Strategies Analysis of WUI dynamics, urban planning strategies, and the use of remote sensing in developing effective fire prevention and mitigation approaches in vulnerable communities
15. Evaluation of the impact of forest fires on the ecosystem services of Mediterranean forest systems
16. Biomass burning emissions: quantification based on remote sensing
PART III: CASE STUDIES OF FOREST FIRE MANAGEMENT IN FIRE-PRONE AREAS AROUND THE WORLD
17. Live fuel moisture content and forest fires in Australian territory
18. Active fire detections in Mexico from Remotely Sensed data
19. Mapping Burned Areas of Brazilian Amazon based on Remote Sensing
20. Madagascar`s Burned area estimation using Remote Sensing
21. Machine learning and remote sensing data for mapping burned area in Italy
22. Patterns of burn severity of forest fires in North America
23. Fire severity across Chilean Mediterranean forest ecosystems
24. Australian megafires: impacts, attributes and future ramifications
25. Study of Portugal mega-fire wildfire events
PART IV: FUTURE DIRECTIONS AND CHALLENGES
26. Emerging Technologies and Their Potential Impact: AI- based applications to forest fire management
27. Challenges and Opportunities in Integrating New Technologies Addressing scalability, accessibility, and interoperability issues
28. A Vision for the Future of Forest Fire Management The role of technology in adaptive, proactive fire management strategies
