UAV Application for Wildfire Detection, Prevention and Management

A special issue of Drones (ISSN 2504-446X). This special issue belongs to the section "Drones in Ecology".

Deadline for manuscript submissions: closed (31 August 2021) | Viewed by 19429

Special Issue Editors


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Guest Editor
College of Engineering, University of Nevada, Las Vegas, NV 89154, USA
Interests: AI; digital image processing; pattern recognition; aircraft design; avionics; sensors and sensor networks; secure communications; long range transmission; ground station design; antenna-transceiver design for long range transmission
Special Issues, Collections and Topics in MDPI journals

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Co-Guest Editor
Intel Corporation, USA
Interests: computer science; deep learning; artificial neural networks; computer graphics and digital image processing

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Guest Editor
Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, NV 89154, USA
Interests: embedded systems; computer architecture; robotics; biomedical engineering

Special Issue Information

Dear Colleagues,

In the recent years, forest fires have been on the rise, destroying the forests that are the lungs of the earth, providing oxygen for humans and animals. They burn wildlife, houses, cities, humans, cause landslides, and many other catastrophic events. Furthermore, most of these fires are manmade. Drone technology could help prevent these fires by monitoring the forest areas where people are violating camping restrictions, smoking and discarding their cigarettes in forest areas, and engaging in other activities which have the potential to increase the possibility of forest fires. After a forest fire takes place, the communication infrastructure, which includes antennas, power supplies, network servers, are often burned down and are no longer functional. Therefore, a drone with a network router and proper configuration could restore communications between firefighters and all interested parties. In addition, a drone with the proper AI can provide information related to the direction and extent of a fire, as well as advise firefighters on how to effectively fight the fire. The European Commission in an effort to reduce harmful emissions to the environment has drafted a document titled: “Preventing and fighting extreme wildfires with the integration and demonstration of innovative means.”

https://ec.europa.eu/info/sites/info/files/research_and_innovation/green_deal/gdc_stakeholder_engagement_topic_01-1_fighting_wildfires.pdf

Topics covered in this issue:

  1. UAV Design;
  2. Materials Choice;
  3. Avionics;
  4. Instrumentation-Sensors.
  5. Digital Image Processing;
  6. Pattern Recognition;
  7. UAV-Intelligence;
  8. Communications for control, telemetry, video transmission;
  9. Ground station design;
  10. Automatic control-manual control design;
  11. Recognition of critical elements for wildfire prevention;
  12. Proper communication of alarm events for immediate action so that fires will be prevented;
  13. Pattern recognition of events with the potential to cause fires;
  14. Transmission of pertinent data to the firefighters so they can fight the fire efficiently;
  15. Creating an intelligent system from past experiences to minimize wildfires;
  16. Anything relevant to the subject area.

Prof. Dr. Evangelos Yfantis
Dr. Ernesto Zamora Ramos
Dr. Sarah Harris
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Drones is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • efficient motor-propeller design for long endurance
  • aircraft design and material selection
  • efficient aircraft building methods
  • avionics
  • communication systems
  • sensors
  • UAV design for forest fire prevention

Published Papers (1 paper)

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Research

24 pages, 3431 KiB  
Article
Drone Swarms in Fire Suppression Activities: A Conceptual Framework
by Elena Ausonio, Patrizia Bagnerini and Marco Ghio
Drones 2021, 5(1), 17; https://0-doi-org.brum.beds.ac.uk/10.3390/drones5010017 - 07 Mar 2021
Cited by 43 | Viewed by 16558
Abstract
The recent huge technological development of unmanned aerial vehicles (UAVs) can provide breakthrough means of fighting wildland fires. We propose an innovative forest firefighting system based on the use of a swarm of hundreds of UAVs able to generate a continuous flow of [...] Read more.
The recent huge technological development of unmanned aerial vehicles (UAVs) can provide breakthrough means of fighting wildland fires. We propose an innovative forest firefighting system based on the use of a swarm of hundreds of UAVs able to generate a continuous flow of extinguishing liquid on the fire front, simulating the effect of rain. Automatic battery replacement and extinguishing liquid refill ensure the continuity of the action. We illustrate the validity of the approach in Mediterranean scrub first computing the critical water flow rate according to the main factors involved in the evolution of a fire, then estimating the number of linear meters of active fire front that can be extinguished depending on the number of drones available and the amount of extinguishing fluid carried. A fire propagation cellular automata model is also employed to study the evolution of the fire. Simulation results suggest that the proposed system can provide the flow of water required to fight low-intensity and limited extent fires or to support current forest firefighting techniques. Full article
(This article belongs to the Special Issue UAV Application for Wildfire Detection, Prevention and Management)
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