The use of Unmanned Aerial Vehicles for forest fire monitoring

Škorput, Pero; Mandžuka, Sadko; Vojvodic, Hrvoje

doi:10.1109/elmar.2016.7731762

Cited by 47 publications

(13 citation statements)

References 7 publications

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“…Today, the application of drones in firefighting scenarios is focusing on open areas that allow for GNSS-based control [ 1 , 2 ]. The problem is that, especially in large industrial sites, it would also be beneficial to inspect and explore shop floors, but indoor drones cannot rely on the GNSS signal.…”

Section: Uas System Details and Resultsmentioning

confidence: 99%

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EffFeu Project: Towards Mission-Guided Application of Drones in Safety and Security Environments

Hrabia

Heßler

et al. 2019

Sensors

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The number of unmanned aerial system (UAS) applications for supporting rescue forces is growing in recent years. Nevertheless, the analysis of sensed information and control of unmanned aerial vehicle (UAV) creates an enormous psychological and emotional load for the involved humans especially in critical and hectic situations. The introduced research project EffFeu (Efficient Operation of Unmanned Aerial Vehicle for Industrial Firefighters) especially focuses on a holistic integration of UAS in the daily work of industrial firefighters. This is done by enabling autonomous mission-guided control on top of the presented overall system architecture, goal-oriented high-level task control, comprehensive localisation process combining several approaches to enable the transition from and to GNSS-supported and GNSS-denied environments, as well as a deep-learning based object recognition of relevant entities. This work describes the concepts, current stage, and first evaluation results of the research project.

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Section: Uas System Details and Resultsmentioning

confidence: 99%

“…The number of unmanned aerial system (UAS) applications for supporting common firefighters and industrial firefighters is growing in recent years [ 1 , 2 ]. In particular exploration, surveillance, monitoring and documentation of accidents, dangerous places and critical infrastructure are evaluated.…”

Section: Introductionmentioning

confidence: 99%

EffFeu Project: Towards Mission-Guided Application of Drones in Safety and Security Environments

Hrabia

Heßler

et al. 2019

Sensors

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“…There are significant challenges related to predicting temperature variations when using drones in Arctic [52], where temperature may fall below -50 ∘ C, or in deserts [53], where temperature may exceed +50 ∘ C, but also for more common civilian applications executed during nigh time [54], or for forest fire monitoring [55], when temperatures may fall below or well exceed the range of temperatures most consumer drones are designed for, which is usually 0 ∘ C -40 ∘ C. In this paper we have addressed the challenge of designing a reliable parachute-based recovery system for a drone, which uses the temperature-compensated accelerometer data for parachute ejection. Note that still many other temperaturerelated challenges for drone designers exist, most notably, the impact of temperature on the battery performance and characteristics.…”

Section: Discussionmentioning

confidence: 99%

Design of Fully Automatic Drone Parachute System with Temperature Compensation Mechanism for Civilian and Military Applications

Almadani

Svirskis

Narvydas

et al. 2018

Journal of Advanced Transportation

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Application of Unmanned Aerial Vehicles (a.k.a. drones) is becoming more popular and their safety is becoming a serious concern. Due to high cost of top-end drones and requirements for secure landing, development of reliable drone recovery systems is a hot topic now. In this paper, we describe the development of a parachute system with fall detection based on accelerometer-gyroscope MPU – 6050 and fall detection algorithm based on the Kalman filter to reduce acceleration errors while drone is flying. We developed the compensation algorithm for temperature-related accelerometer errors. The parachute system tests were performed from a small height on a soft surface. Later, the system was tested under real-world conditions. The system functioned effectively, resulting in parachute activation times of less than 0.5s. We also discuss the civilian and military applications of the developed recovery system in harsh (high temperature) environment.

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“…As discussed in the active fire detection section, UAS technology is being adopted by fire researchers to rapidly analyze fire occurrence with innovative approaches [115,116,165]. This technology has recently been applied to research focusing on burn severity assessment [166,167].…”

Section: Uasmentioning

confidence: 99%

A Review of the Applications of Remote Sensing in Fire Ecology

2019

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Wildfire plays an important role in ecosystem dynamics, land management, and global processes. Understanding the dynamics associated with wildfire, such as risks, spatial distribution, and effects is important for developing a clear understanding of its ecological influences. Remote sensing technologies provide a means to study fire ecology at multiple scales using an efficient and quantitative method. This paper provides a broad review of the applications of remote sensing techniques in fire ecology. Remote sensing applications related to fire risk mapping, fuel mapping, active fire detection, burned area estimates, burn severity assessment, and post-fire vegetation recovery monitoring are discussed. Emphasis is given to the roles of multispectral sensors, lidar, and emerging UAS technologies in mapping, analyzing, and monitoring various environmental properties related to fire activity. Examples of current and past research are provided, and future research trends are discussed. In general, remote sensing technologies provide a low-cost, multi-temporal means for conducting local, regional, and global-scale fire ecology research, and current research is rapidly evolving with the introduction of new technologies and techniques which are increasing accuracy and efficiency. Future research is anticipated to continue to build upon emerging technologies, improve current methods, and integrate novel approaches to analysis and classification.

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The use of Unmanned Aerial Vehicles for forest fire monitoring

Cited by 47 publications

References 7 publications

EffFeu Project: Towards Mission-Guided Application of Drones in Safety and Security Environments

EffFeu Project: Towards Mission-Guided Application of Drones in Safety and Security Environments

Design of Fully Automatic Drone Parachute System with Temperature Compensation Mechanism for Civilian and Military Applications

A Review of the Applications of Remote Sensing in Fire Ecology

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