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.
This is essential for graduate students, researchers, and professionals seeking to utilize remote sensing techniques to further their research and knowledge of forest fire management through cutting-edge remote sensing technologies and interdisciplinary insights.
1. Part I: Introduction and background - p. P1 2. 1. The growing challenge of forest fires - p. 3 3. 2. Overview of the global wildfire scenario and its impacts on ecosystems - p. 19 4. 3. Fundamentals of remote sensing applied to wildfire studies - p. 37 5. 4. Validation of remote sensing products for wildfire monitoring and modeling - p. 71 6. 5. The role of fuel in driving extreme wildfire events - p. 93 7. Part II: Technological innovations across the forest fire management cycle - p. P109 8. 6. Forest fire ecology and ecosystem dynamics: foundations for integrated management strategies - p. 111 9. 7. Fire hazard assessment through remote sensing: burn probability and fire severity predictive modeling - p. 143 10. 8. Integrating empirical and stochastic models towards wildfire risk mitigation - p. 167 11. 9. Postfire damage assessment: burned area and fire severity - p. 185 12. 10. Remote sensing techniques to assess post-fire regeneration and ecosystem resilience - p. 207 13. 11. Wildland-urban interface: dynamics, planning strategies, and remote sensing for fire risk mitigation - p. 225 14. 12. Assessing the impact of wildfires on ecosystem services and biodiversity in Mediterranean landscapes - p. 241 15. 13. Quantification of biomass burning emissions based on remote sensing - p. 259 16. Part III: Case studies on forest fire management in fire-prone regions worldwide - p. P275 17. 14. Near-real-time monitoring and prediction of fire intensity, burned area, and burn severity in the forecast danger system of Mexico - p. 277 18. 15. Wildfires in Alaska: insights into fire occurrence, postfire impacts, and air quality implications - p. 287 19. 16. Burned area mapping in Italy using multitemporal composite optical and synthetic aperture radar (SAR) data and machine learning - p. 311 20. 17. Fire severity across Chilean Mediterranean forest ecosystems - p. 333 21. 18. The Australian megafires of 2019–20: impact, response, and future direction - p. 361 22. 19. The Fire Atlas of Portugal: its history and uses - p. 377 23. Part IV: Future directions and challenges - p. P395 24. 20. Integrating new technologies: challenges and opportunities for scalability, accessibility, and interoperability - p. 397 25. 21. A vision for the future of forest fire management: technology-enabled, nature-based solutions for adaptive and proactive strategies - p. 415 26. Index - p. 437
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.
This is essential for graduate students, researchers, and professionals seeking to utilize remote sensing techniques to further their research and knowledge of forest fire management through cutting-edge remote sensing technologies and interdisciplinary insights.
1. Part I: Introduction and background - p. P1 2. 1. The growing challenge of forest fires - p. 3 3. 2. Overview of the global wildfire scenario and its impacts on ecosystems - p. 19 4. 3. Fundamentals of remote sensing applied to wildfire studies - p. 37 5. 4. Validation of remote sensing products for wildfire monitoring and modeling - p. 71 6. 5. The role of fuel in driving extreme wildfire events - p. 93 7. Part II: Technological innovations across the forest fire management cycle - p. P109 8. 6. Forest fire ecology and ecosystem dynamics: foundations for integrated management strategies - p. 111 9. 7. Fire hazard assessment through remote sensing: burn probability and fire severity predictive modeling - p. 143 10. 8. Integrating empirical and stochastic models towards wildfire risk mitigation - p. 167 11. 9. Postfire damage assessment: burned area and fire severity - p. 185 12. 10. Remote sensing techniques to assess post-fire regeneration and ecosystem resilience - p. 207 13. 11. Wildland-urban interface: dynamics, planning strategies, and remote sensing for fire risk mitigation - p. 225 14. 12. Assessing the impact of wildfires on ecosystem services and biodiversity in Mediterranean landscapes - p. 241 15. 13. Quantification of biomass burning emissions based on remote sensing - p. 259 16. Part III: Case studies on forest fire management in fire-prone regions worldwide - p. P275 17. 14. Near-real-time monitoring and prediction of fire intensity, burned area, and burn severity in the forecast danger system of Mexico - p. 277 18. 15. Wildfires in Alaska: insights into fire occurrence, postfire impacts, and air quality implications - p. 287 19. 16. Burned area mapping in Italy using multitemporal composite optical and synthetic aperture radar (SAR) data and machine learning - p. 311 20. 17. Fire severity across Chilean Mediterranean forest ecosystems - p. 333 21. 18. The Australian megafires of 2019–20: impact, response, and future direction - p. 361 22. 19. The Fire Atlas of Portugal: its history and uses - p. 377 23. Part IV: Future directions and challenges - p. P395 24. 20. Integrating new technologies: challenges and opportunities for scalability, accessibility, and interoperability - p. 397 25. 21. A vision for the future of forest fire management: technology-enabled, nature-based solutions for adaptive and proactive strategies - p. 415 26. Index - p. 437
