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.
Format:Paperback
Language:English
ISBN:0443416923
ISBN13:9780443416927
Release Date:September 2026
Publisher:Elsevier
Length:468 Pages
Weight:1.63 lbs.
Dimensions:1.0" x 6.0" x 9.0"
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Format: Paperback
Condition: New
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