Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/2548
Title: Early Forest Fire Detection Using Radio-Acoustic Sounding System
Authors: Sahin, Yasar Guneri
İnce, Türker
Keywords: Forest fire detection
RASS
acoustic sounding
radar
emergency management
Statistical-Analysis
Automatic Detection
Committee Machines
Decision-Making
Lidar
Management
Avhrr
Algorithm
Optimization
Temperature
Publisher: Mdpi
Abstract: Automated early fire detection systems have recently received a significant amount of attention due to their importance in protecting the global environment. Some emergent technologies such as ground-based, satellite-based remote sensing and distributed sensor networks systems have been used to detect forest fires in the early stages. In this study, a radio-acoustic sounding system with fine space and time resolution capabilities for continuous monitoring and early detection of forest fires is proposed. Simulations show that remote thermal mapping of a particular forest region by the proposed system could be a potential solution to the problem of early detection of forest fires.
URI: https://doi.org/10.3390/s90301485
https://hdl.handle.net/20.500.14365/2548
ISSN: 1424-8220
Appears in Collections:PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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