Infra-red line camera data-driven edge detector in UAV forest fire monitoring

Vivo, Francesco De; Battipede, Manuela; Johnson, Eric L.

doi:10.1016/j.ast.2021.106574

Cited by 18 publications

(6 citation statements)

References 16 publications

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“…The UAVs can conduct a thorough search in a short amount of time thanks to their air superiority and information transmission capabilities. Therefore, quick access to accidents and site monitoring is possible [83,84]. Furthermore, some UAVs can deliver vital information regarding rescue routes based on tasks and data received [85,86].…”

Section: Seek and Rescuementioning

confidence: 99%

Design Configuration and Technical Application of Rotary-Wing Unmanned Aerial Vehicles

Zhao¹,

Li²

2022

MITS

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Due to their advantages in hovering, takeoff and landing adaptability, maneuverability, and other factors, rotary-wing unmanned aerial vehicles (UAVs) are widely applied across many different fields. The UAVs' design and configuration can be quite flexible to fit diverse operation conditions. The major goal of innovations in rotary-wing UAVs is to lower operating risk and expense by optimizing payload and structure layout. This study examines three aspects of rotary-wing UAV design and evolution: the number and arrangement of rotors, hybrid-wing-based UAVs, and configuration and loading structures. The most current advancements of UAV applications in crucial industries, including agriculture, fire rescue, inspection and monitoring, and aerial logistics, are then thoroughly examined. Finally, the authors discussed the prospective uses for rotary-wing UAV design in the future.

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Section: Seek and Rescuementioning

confidence: 99%

Design Configuration and Technical Application of Rotary-Wing Unmanned Aerial Vehicles

Zhao¹,

Li²

2022

MITS

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“…With the recent technological advances in forest fire management and the increasing popularity of using Unmanned Aircraft Vehicle (UAV) and wireless video monitoring devices [69][70][71], the generated forest fire risk map is expected to play an increasingly important role in future detection of forest fire. The generality of our method and the generated fire risk map open the possibility to plan a short and accurate patrol path of future UAV applications by utilizing mobility and fire risk level.…”

Section: Accuracy and Application Analysismentioning

confidence: 99%

GIS-Based Forest Fire Risk Model: A Case Study in Laoshan National Forest Park, Nanjing

et al. 2021

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Fire risk prediction is significant for fire prevention and fire resource allocation. Fire risk maps are effective methods for quantifying regional fire risk. Laoshan National Forest Park has many precious natural resources and tourist attractions, but there is no fire risk assessment model. This paper aims to construct the forest fire risk map for Nanjing Laoshan National Forest Park. The forest fire risk model is constructed by factors (altitude, aspect, topographic wetness index, slope, distance to roads and populated areas, normalized difference vegetation index, and temperature) which have a great influence on the probability of inducing fire in Laoshan. Since the importance of factors in different study areas is inconsistent, it is necessary to calculate the significance of each factor of Laoshan. After the significance calculation is completed, the fire risk model of Laoshan can be obtained. Then, the fire risk map can be plotted based on the model. This fire risk map can clarify the fire risk level of each part of the study area, with 16.97% extremely low risk, 48.32% low risk, 17.35% moderate risk, 12.74% high risk and 4.62% extremely high risk, and it is compared with the data of MODIS fire anomaly point. The result shows that the accuracy of the risk map is 76.65%.

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“…In a similar way, UAVs have been applied for the monitoring of environmental parameters, e.g., air pollution, land surface temperature, flood risk, forest fire, road surface distress, land terrain monitoring etc. [15][16][17][18][19][20], but also for pedestrian traffic monitoring or disaster evacuation [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Urban Traffic Monitoring and Analysis Using Unmanned Aerial Vehicles (UAVs): A Systematic Literature Review

Butilă

Boboc

2022

Remote Sensing

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Unmanned aerial vehicles (UAVs) are gaining considerable interest in transportation engineering in order to monitor and analyze traffic. This systematic review surveys the scientific contributions in the application of UAVs for civil engineering, especially those related to traffic monitoring. Following the PRISMA framework, 34 papers were identified in five scientific databases. First, this paper introduces previous works in this field. In addition, the selected papers were analyzed, and some conclusions were drawn to complement the findings. It can be stated that this is still a field in its infancy and that progress in advanced image processing techniques and technologies used in the construction of UAVs will lead to an explosion in the number of applications, which will result in increased benefits for society, reducing unpleasant situations, such as congestion and collisions in major urban centers of the world.

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Infra-red line camera data-driven edge detector in UAV forest fire monitoring

Cited by 18 publications

References 16 publications

Design Configuration and Technical Application of Rotary-Wing Unmanned Aerial Vehicles

Design Configuration and Technical Application of Rotary-Wing Unmanned Aerial Vehicles

GIS-Based Forest Fire Risk Model: A Case Study in Laoshan National Forest Park, Nanjing

Urban Traffic Monitoring and Analysis Using Unmanned Aerial Vehicles (UAVs): A Systematic Literature Review

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