Early Forest Fire Detection Using Radio-Acoustic Sounding System
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Date
2009
Authors
Sahin, Yasar Guneri
İnce, Türker
Journal Title
Journal ISSN
Volume Title
Publisher
Mdpi
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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.
Description
Keywords
Forest fire detection, RASS, acoustic sounding, radar, emergency management, Statistical-Analysis, Automatic Detection, Committee Machines, Decision-Making, Lidar, Management, Avhrr, Algorithm, Optimization, Temperature, RASS, Chemical technology, emergency management, TP1-1185, Article, Forest fire detection; RASS; acoustic sounding; radar; emergency management, acoustic sounding, Forest fire detection, radar
Fields of Science
04 agricultural and veterinary sciences, 01 natural sciences, 0401 agriculture, forestry, and fisheries, 0105 earth and related environmental sciences
Citation
WoS Q
Q2
Scopus Q
Q1

OpenCitations Citation Count
44
Source
Sensors
Volume
9
Issue
3
Start Page
1485
End Page
1498
PlumX Metrics
Citations
CrossRef : 48
Scopus : 58
PubMed : 6
Captures
Mendeley Readers : 67
SCOPUS™ Citations
58
checked on Mar 09, 2026
Web of Science™ Citations
43
checked on Mar 09, 2026
Page Views
5
checked on Mar 09, 2026
Downloads
10
checked on Mar 09, 2026
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