Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: May 22, 2026

Flying Insect Detection and Classification with Inexpensive Sensors

Flying Insect Detection and Classification with Inexpensive Sensors

Published on: October 15, 2014

Early forest fire detection using radio-acoustic sounding system.

Yasar Guneri Sahin¹, Turker Ince

¹Izmir University of Economics, Department of Software Engineering, Sakarya Cad. No:156, Balcova/Izmir, Turkey;

Sensors (Basel, Switzerland)

|May 11, 2012

Summary

A new radio-acoustic sounding system offers continuous monitoring for early forest fire detection. Simulations indicate its remote thermal mapping capability is a promising solution for environmental protection.

Related Concept Videos

IR Frequency Region: Fingerprint Region

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Investigation of the Role of Convolutional Neural Network Architectures in the Diagnosis of Glaucoma using Color Fundus Photography.

Turkish journal of ophthalmology·2022

Same author

Blind ECG Restoration by Operational Cycle-GANs.

IEEE transactions on bio-medical engineering·2022

Same author

Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks.

IEEE transactions on neural networks and learning systems·2022

Same author

Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks.

IEEE transactions on bio-medical engineering·2021

Same author

Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network.

IEEE transactions on bio-medical engineering·2021

Same author

Self-organized Operational Neural Networks with Generative Neurons.

Neural networks : the official journal of the International Neural Network Society·2021

Area of Science:

Environmental Science
Remote Sensing Technology
Forestry Management

Background:

Automated early fire detection is crucial for global environmental protection.
Existing technologies include ground-based, satellite-based remote sensing, and distributed sensor networks.
There is a need for advanced systems with high resolution for continuous monitoring.

Purpose of the Study:

To propose a novel radio-acoustic sounding system for early forest fire detection.
To evaluate the system's capability for continuous monitoring with fine space and time resolution.
To assess the potential of remote thermal mapping for early fire detection.

Main Methods:

Development of a radio-acoustic sounding system prototype.
Simulation of remote thermal mapping of forest regions.

Keywords:

Forest fire detection RASS acoustic sounding emergency management radar

Related Experiment Videos

Last Updated: May 22, 2026

Flying Insect Detection and Classification with Inexpensive Sensors

Flying Insect Detection and Classification with Inexpensive Sensors

Published on: October 15, 2014

Analysis of system performance in terms of space and time resolution.

Main Results:

The proposed radio-acoustic sounding system demonstrates fine space and time resolution capabilities.
Simulations indicate successful remote thermal mapping of forest areas.
The system shows potential for continuous monitoring and early fire detection.

Conclusions:

The radio-acoustic sounding system is a viable technology for early forest fire detection.
Remote thermal mapping using this system offers a potential solution for environmental protection.
Further research and development are warranted to implement this system in real-world scenarios.