Unmanned Aircraft in Fire Research and Management

A special issue of Fire (ISSN 2571-6255).

Deadline for manuscript submissions: closed (30 June 2020) | Viewed by 25743

Special Issue Editors


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Guest Editor
Fire and Unmanned Systems, Division of Atmospheric Sciences, Desert Research Institute, 2215 Raggio Parkway, Reno, NV 89512, USA
Interests: smoldering combustion; emissions; landscape ecology; fire ecology; restoration; rehabilitation; peatlands; organic soils; muck fires; unmanned aircraft systems; UAS; UAV; drone; tree mortality; fires in wetlands; prescribed fire

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Guest Editor
Rangeland Ecology, Department of Forestry, Rangeland, and Fire Sciences, College of Natural Resources, University of Idaho 875 Perimeter Drive, MS 1135 Moscow, ID 83844-1135, USA
Interests: vegetation monitoring and assessment; envirometrics; remote sensing and spatial analysis; wildlife habitat; restoration effectiveness

Special Issue Information

Dear Colleagues,

The advent of low-cost, reliable unmanned aircraft systems (UAS; also known as “drones” or unmanned aerial vehicles, “UAVs”) has encouraged a proliferation of their uses for all manner of scientific applications. With their military pedigree, UAS are as ideally suited for so-called “dull, dirty, and dangerous” missions as they are for providing a novel aerial perspective for much work traditionally conducted from the ground, such as surveys and sampling. These characteristics make UAS ideally suited for many uses in fire science and management, as does the similarity of many aspects of fire management to military operations in complexity of organization, pace of operation, and need for rapid and accurate geospatial information in order to ensure safety of personnel.

A rapid pace of technology development, and a regulatory environment that has until recently set challenges for non-hobbyist use, have meant that groups working with UAS may have limited exchange of current information and techniques. Additionally, the highly interdisciplinary nature of natural-resource related UAS work has led to an unusually disparate array of publication outlets, reducing the efficiency with which advances are received and applied by the community of workers in the field. It is our hope that by devoting a Special Issue to the technology, techniques, products, and other aspects of UAS for fire work, we may help to provide a focal area for exchanging important and new information.

This Special Issue is being planned in parallel with a Workshop at the upcoming AFE/IAWF Fire Continuum Conference in Missoula, Montana, USA, to be held on Monday, 21 May 2018. Is it expected that contributors to this Special Issue may wish to present or discuss early versions of their work at the Workshop, whose audience may provide additional contributions or ideas. Conversely, in the course of exchanging information on their respective projects, Workshop participants may collaborate on manuscript submissions. However, it is emphasized that participation in the Workshop is not a prerequisite for contribution of an article to this Special Issue.

We invite submissions including, but not limited, to the following topics:

  • Platforms, systems, and general characteristics of UAS suited for field use in fire science and management
  • Case studies of UAS used for fire observation, mapping, suppression, or effects monitoring
  • Payloads for remote sensing applications, especially in the context of fire-related applications
  • Regulations applicable to the use of UAS both away from the fireline and during active fires. (Due to the variety of regulations across jurisdictional boundaries, submissions may choose to focus on individual large countries with complex airspace regulations such as the USA, or to provide survey and overview of regulations in multiple areas if warranted.)
  • Lighting and fighting fires with UAS
  • Remote sensing of fire behavior and effects
  • Operational monitoring of firelines and UAS use for situational awareness

It is further noted that, although most submissions are expected in the area of wildland fire, a small but growing number of organizations are successfully employing UAS for structural-fire and wildland-urban-interface (WUI) uses. We wish to encourage submission of manuscripts on structure and WUI applications of UAS in order to serve the broader fire community.

Please check and follow the Instructions to Authors at https://www.mdpi.com/journal/fire/instructions.

Dr. Adam C. Watts
Dr. Jason W. Karl
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. Fire 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 2400 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.

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Published Papers (4 papers)

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Research

10 pages, 5549 KiB  
Article
Meteorological Profiling in the Fire Environment Using UAS
by Matthew J. Brewer and Craig B. Clements
Fire 2020, 3(3), 36; https://doi.org/10.3390/fire3030036 - 31 Jul 2020
Cited by 12 | Viewed by 3866
Abstract
With the increase in commercially available small unmanned aircraft systems (UAS), new observations in extreme environments are becoming more obtainable. One such application is the fire environment, wherein measuring both fire and atmospheric properties are challenging. The Fire and Smoke Model Evaluation Experiment [...] Read more.
With the increase in commercially available small unmanned aircraft systems (UAS), new observations in extreme environments are becoming more obtainable. One such application is the fire environment, wherein measuring both fire and atmospheric properties are challenging. The Fire and Smoke Model Evaluation Experiment offered the unique opportunity of a large controlled wildfire, which allowed measurements that cannot generally be taken during an active wildfire. Fire–atmosphere interactions have typically been measured from stationary instrumented towers and by remote sensing systems such as lidar. Advances in UAS and compact meteorological instrumentation have allowed for small moving weather stations that can move with the fire front while sampling. This study highlights the use of DJI Matrice 200, which was equipped with a TriSonica Mini Wind and Weather station sonic anemometer weather station in order to sample the fire environment in an experimental and controlled setting. The weather station was mounted on to a carbon fiber pole extending off the side of the platform. The system was tested against an RM-Young 81,000 sonic anemometer, mounted at 6 and 2 m above ground levelto assess any bias in the UAS platform. Preliminary data show that this system can be useful for taking vertical profiles of atmospheric variables, in addition to being used in place of meteorological tower measurements when suitable. Full article
(This article belongs to the Special Issue Unmanned Aircraft in Fire Research and Management)
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15 pages, 1021 KiB  
Article
Accessing the Life in Smoke: A New Application of Unmanned Aircraft Systems (UAS) to Sample Wildland Fire Bioaerosol Emissions and Their Environment
by Leda N. Kobziar, Melissa R. A. Pingree, Adam C. Watts, Kellen N. Nelson, Tyler J. Dreaden and Mary Ridout
Fire 2019, 2(4), 56; https://doi.org/10.3390/fire2040056 - 25 Nov 2019
Cited by 13 | Viewed by 7023
Abstract
Wildland fire is a major producer of aerosols from combustion of vegetation and soils, but little is known about the abundance and composition of smoke’s biological content. Bioaerosols, or aerosols derived from biological sources, may be a significant component of the aerosol load [...] Read more.
Wildland fire is a major producer of aerosols from combustion of vegetation and soils, but little is known about the abundance and composition of smoke’s biological content. Bioaerosols, or aerosols derived from biological sources, may be a significant component of the aerosol load vectored in wildland fire smoke. If bioaerosols are injected into the upper troposphere via high-intensity wildland fires and transported across continents, there may be consequences for the ecosystems they reach. Such transport would also alter the concept of a wildfire’s perimeter and the disturbance domain of its impact. Recent research has revealed that viable microorganisms are directly aerosolized during biomass combustion, but sampling systems and methodology for quantifying this phenomenon are poorly developed. Using a series of prescribed fires in frequently burned forest ecosystems, we report the results of employing a small rotary-wing unmanned aircraft system (UAS) to concurrently sample aerosolized bacteria and fungi, particulate matter, and micrometeorology in smoke plumes versus background conditions. Airborne impaction-based bioaerosol sampling indicated that microbial composition differed between background air and smoke, with seven unique organisms in smoke vs. three in background air. The air temperature was negatively correlated with the number of fungal colony-forming units detected. Our results demonstrate the utility of a UAS-based sampling platform for active sampling of viable aerosolized microbes in smoke arising from wildland fires. This methodology can be extended to sample viable microbes in a wide variety of emissions sampling pursuits, especially those in hazardous and inaccessible environments. Full article
(This article belongs to the Special Issue Unmanned Aircraft in Fire Research and Management)
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20 pages, 5076 KiB  
Article
Deriving Fire Behavior Metrics from UAS Imagery
by Christopher J. Moran, Carl A. Seielstad, Matthew R. Cunningham, Valentijn Hoff, Russell A. Parsons, LLoyd Queen, Katie Sauerbrey and Tim Wallace
Fire 2019, 2(2), 36; https://doi.org/10.3390/fire2020036 - 22 Jun 2019
Cited by 22 | Viewed by 6656
Abstract
The emergence of affordable unmanned aerial systems (UAS) creates new opportunities to study fire behavior and ecosystem pattern—process relationships. A rotor-wing UAS hovering above a fire provides a static, scalable sensing platform that can characterize terrain, vegetation, and fire coincidently. Here, we present [...] Read more.
The emergence of affordable unmanned aerial systems (UAS) creates new opportunities to study fire behavior and ecosystem pattern—process relationships. A rotor-wing UAS hovering above a fire provides a static, scalable sensing platform that can characterize terrain, vegetation, and fire coincidently. Here, we present methods for collecting consistent time-series of fire rate of spread (RoS) and direction in complex fire behavior using UAS-borne NIR and Thermal IR cameras. We also develop a technique to determine appropriate analytical units to improve statistical analysis of fire-environment interactions. Using a hybrid temperature-gradient threshold approach with data from two prescribed fires in dry conifer forests, the methods characterize complex interactions of observed heading, flanking, and backing fires accurately. RoS ranged from 0–2.7 m/s. RoS distributions were all heavy-tailed and positively-skewed with area-weighted mean spread rates of 0.013–0.404 m/s. Predictably, the RoS was highest along the primary vectors of fire travel (heading fire) and lower along the flanks. Mean spread direction did not necessarily follow the predominant head fire direction. Spatial aggregation of RoS produced analytical units that averaged 3.1–35.4% of the original pixel count, highlighting the large amount of replicated data and the strong influence of spread rate on unit size. Full article
(This article belongs to the Special Issue Unmanned Aircraft in Fire Research and Management)
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18 pages, 8119 KiB  
Article
A Multipollutant Smoke Emissions Sensing and Sampling Instrument Package for Unmanned Aircraft Systems: Development and Testing
by Kellen N. Nelson, Jayne M. Boehmler, Andrey Y. Khlystov, Hans Moosmüller, Vera Samburova, Chiranjivi Bhattarai, Eric M. Wilcox and Adam C. Watts
Fire 2019, 2(2), 32; https://doi.org/10.3390/fire2020032 - 7 Jun 2019
Cited by 15 | Viewed by 6513
Abstract
Poor air quality arising from prescribed and wildfire smoke emissions poses threats to human health and therefore must be taken into account for the planning and implementation of prescribed burns for reducing contemporary fuel loading and other management goals. To better understand how [...] Read more.
Poor air quality arising from prescribed and wildfire smoke emissions poses threats to human health and therefore must be taken into account for the planning and implementation of prescribed burns for reducing contemporary fuel loading and other management goals. To better understand how smoke properties vary as a function of fuel beds and environmental conditions, we developed and tested a compact portable instrument package that integrates direct air sampling with air quality and meteorology sensing, suitable for in situ data collection within burn units and as a payload on multi-rotor small unmanned aircraft systems (sUASs). Co-located sensors collect carbon dioxide, carbon monoxide, and particulate matter data at a sampling rate of ~0.5 Hz with a microcontroller-based system that includes independent data logging, power systems, radio telemetry, and global positioning system data. Sensor data facilitates precise remote canister collection of air samples suitable for laboratory analysis of volatile organic compounds (VOCs) and other major and trace gases. Instrument package specifications are compatible with common protocols for ground-based and airborne measurements. We present and discuss design specifications for the system and preliminary data collected in controlled burns at Tall Timbers Research Station, FL, USA and Sycan Marsh Preserve, OR, USA. Full article
(This article belongs to the Special Issue Unmanned Aircraft in Fire Research and Management)
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