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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