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Proceedings ArticleDOI

A Survey on Forest Fire Monitoring Using Unmanned Aerial Vehicles

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TLDR
Early level experiments show that the limitations of the previous methods could be overcome by UAV-facilitated forest fire monitoring strategies, and the main motivation of this paper is to help for identifying the methodologies behind the existing systems and to find new methods of improving the UAV systems to fight this dreadful calamity.
Abstract
Every year, forest fire causes heavy death toll and destruction around the world. The number of forest fires is increasing each year along with the damages associated with it. At this point, traditional forest fire detection methods such as point sensors, thermal sensors, watch tower, human patrol and satellite imagery are not being enough to provide early detection and continuous monitoring. Recent developments in electronics and control systems have made unmanned aerial vehicles (UAVs) more readily available and created an opportunity to utilize them for continuous forest monitoring with higher flexibility, maneuverability and precision. Early level experiments show that the limitations of the previous methods could be overcome by UAV-facilitated forest fire monitoring strategies. This paper highlights the basic idea of UAV-based forest fire monitoring and relevant researches and operations that have been conducted in this field thus far. The future of forest fire monitoring relies more on the use of UAVs and their onboard mission payloads, and the main motivation of this paper is to help for identifying the methodologies behind the existing systems and to find new methods of improving the UAV systems to fight this dreadful calamity.

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Journal ArticleDOI

A Survey of Machine Learning Algorithms Based Forest Fires Prediction and Detection Systems

Faroudja Abid
- 01 Mar 2021 - 
TL;DR: A comprehensive survey of the machine learning algorithms based forest fires prediction and detection systems is presented, highlighting the main issues and outcomes within each study.
Journal ArticleDOI

A survey on vision-based outdoor smoke detection techniques for environmental safety

TL;DR: A comprehensive survey of existing techniques on smoke detection in the outdoor environment using image and video analysis is presented in this paper , where the authors focus on vision-based solutions for the indoor environment.
Journal ArticleDOI

Design and Comparative Study Among Antennas of GCS for Telemetry Communication System of UAV

TL;DR: This paper describes the analysis of antennas commonly used in GCSs for UAV communication links, namely the Yagi-Uda, bi- quad, and double bi-quad antennas.
Journal ArticleDOI

Maturity Levels of Public Safety Applications using Unmanned Aerial Systems: a Review.

TL;DR: In this paper, the maturity levels of public safety applications for UAVs are evaluated through a literature review of contained applications, using the metric of Application Readiness Levels (ARLs).
Proceedings ArticleDOI

Forest Fire Detection and Localization Using Thermal and Visual Cameras

TL;DR: In this paper, a system targeting for using unmanned aerial vehicle (UAV) to application of detecting and locating forest fires is developed, which utilizes the information of two cameras: one charged coupled device (CCD) camera and one thermal camera.
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