A micro-UAS to Start Prescribed Fires

Beachly, Evan; Higgins, James; Laney, Christian; Elbaum, Sebastian; Detweiler, Carrick; Allen, Craig R.

doi:10.1007/978-3-319-50115-4_2

Cited by 8 publications

(4 citation statements)

References 14 publications

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“…In other dispersal methods, UASs are now being used for targeted management in the form of fire ignitions and herbicide treatments. In the case of wetland restoration, fire has been a traditional tool for inhibiting woody species (Nyman and Chabreck, 1995), and UASs have been developed with an integrated ignition sphere dispenser that is programmed to drop the spheres at specific intervals to initiate a controlled burn (Beachly et al, 2017). Some restoration efforts face encroachment by non-native species, like the common reed Phragmites australis.…”

Section: Methodsmentioning

confidence: 99%

Unoccupied Aircraft Systems (UAS) for Marine Ecosystem Restoration

Ridge

Johnston

2020

Front. Mar. Sci.

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Assessing, implementing and monitoring ecosystem restoration can be a labor intensive process, often short term (<3 years), and potentially destructive to the habitat. Advances in remote sensing technology are generating rapid, non-destructive methods for siting, executing and monitoring restoration efforts, particularly in fragile marine environments. Unoccupied aircraft systems (UAS), or drones, are a highly flexible method for accessing and remote sensing ecosystems with on-demand capabilities, greater resolution than sensors from satellites and occupied aircraft, and the ability to cover large areas quickly. With the variety of platforms and payloads available, UASs are providing a suite of tools for conservation practitioners to properly plan marine ecosystem restoration projects and evaluate their success. Both conventional and specialized sensors coupled with image processing techniques can be used to gauge impact to and recovery of entire ecological communities. For example, high-resolution, multispectral imaging allows for discernment of population changes across trophic levels, concurrent with the discrimination of species (including rare) across a landscape, and detection of vegetation stress. Structure from Motion photogrammetric processing provides centimeter-scale three-dimensional models of habitat structure to measure ecologically significant aspects like rugosity and assess their change through time. Water quality around a broad impacted area can be remotely monitored via a number of payloads before and after restoration. Additionally, specially designed payloads can be used to manually disperse seeds or materials for restoration applications without disturbing the habitat. UASs have increasing potential to reduce the costs (both time and money) associated with restoration efforts, making site assessment and long-term, broad-scale monitoring more achievable. Here we present a review of the applications of UASs in marine ecosystem restoration with an overview of the special considerations of using this technology in the marine environment.

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Section: Methodsmentioning

confidence: 99%

Unoccupied Aircraft Systems (UAS) for Marine Ecosystem Restoration

Ridge

Johnston

2020

Front. Mar. Sci.

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“…Therefore, innovative methods to help detect, track and extinguish certain types of wildfires are being developed. Further research into drone‐assisted prescribed burning would also be beneficial (Beachly et al, 2016).…”

Section: Restoration Implementationmentioning

confidence: 99%

Existing and emerging uses of drones in restoration ecology

et al. 2022

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To address the enormous task of restoring the world's degraded ecosystems, 2021 to 2030 was recently heralded as the UN Decade on Ecosystem Restoration (United Nations, 2020). In the absence of scalable interventions, it is expected that by 2050, 95% of Earth's land, up to 90% of coral reefs, and many other habitats will be affected by degradation (Foo & Asner, 2019;Yu et al., 2020). Against this backdrop of ecological crisis, practitioners must draw upon the most effective tools available to ensure large-scale restoration objectives are successful.

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“…Indeed, the central unit cannot always have such a direct observation for all the assigned tasks. For instance, if the UAV's task was to drop a fire ball to ignite fire in a particular area (a mechanism used to initiate controlled fires to prevent wildfires [19] ), then the central unit may not be able to accurately determine if the ball was dropped. However, it can estimate if the task was performed by the UAV by observing its impact on the field (i.e.…”

Section: A Task Success Ratementioning

confidence: 99%

A Real-time Framework for Trust Monitoring in a Network of Unmanned Aerial Vehicles

Keshavarz

Shamsoshoara

Afghah

et al. 2020

IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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Unmanned aerial vehicles (UAVs) have been increasingly utilized in various civilian and military applications such as remote sensing, border patrolling, disaster monitoring, and communication coverage extension. However, there are still prone to several cyber attacks such as GPS spoofing attacks, distributed denial-of-service (DDoS) attacks, and man-in-the-middle attacks to obtain their collected information or to enforce the UAVs to perform their requested actions which may damage the UAVs or their surrounding environment or even endanger the safety of human in the operation field. In this paper, we propose a trust monitoring mechanism in which a centralized unit (e.g. the ground station) regularly observe the behavior of the UAVs in terms of their motion path, their consumed energy, as well as the number of their completed tasks and measure a relative trust score for the UAVs to detect any abnormal behaviors in a real-time manner. Our simulation results show that the trust model can detect malicious UAVs, which can be under various cyber-security attacks such as flooding attacks, man-inthe-middle attacks, GPS spoofing attack in real-time.

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A micro-UAS to Start Prescribed Fires

Cited by 8 publications

References 14 publications

Unoccupied Aircraft Systems (UAS) for Marine Ecosystem Restoration

Unoccupied Aircraft Systems (UAS) for Marine Ecosystem Restoration

Existing and emerging uses of drones in restoration ecology

A Real-time Framework for Trust Monitoring in a Network of Unmanned Aerial Vehicles

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