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

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Publicly Funded

No
Impulse
Top 10%
Influence
Top 10%
Popularity
Top 10%

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Journal Issue

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 Logo
OpenCitations Citation Count
44

Source

Sensors

Volume

9

Issue

3

Start Page

1485

End Page

1498
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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

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Downloads

10

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10.9526

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