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Advances in Remote Sensing for Forest Fire Management - (Earth Observation) (Paperback)
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Highlights
- 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.
- Author(s): Carmen Quintano & Alfonso Fernández-Manso & José Fernández-Guisuraga & Leonor Calvo
- 410 Pages
- Technology, Remote Sensing & Geographic Information Systems
- Series Name: Earth Observation
Description
Book Synopsis
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.Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W)
Suggested Age: 22 Years and Up
Number of Pages: 410
Genre: Technology
Sub-Genre: Remote Sensing & Geographic Information Systems
Series Title: Earth Observation
Publisher: Elsevier
Format: Paperback
Author: Carmen Quintano & Alfonso Fernández-Manso & José Fernández-Guisuraga & Leonor Calvo
Language: English
Street Date: June 1, 2026
TCIN: 1007867162
UPC: 9780443416927
Item Number (DPCI): 247-43-9352
Origin: Made in the USA or Imported
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Estimated ship dimensions: 1 inches length x 6 inches width x 9 inches height
Estimated ship weight: 1 pounds
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