Airborne optical and thermal remote sensing for wildfire detection and monitoring

RS Allison, JM Johnston, G Craig, S Jennings - Sensors, 2016 - mdpi.com
For decades detection and monitoring of forest and other wildland fires has relied heavily on
aircraft (and satellites). Technical advances and improved affordability of both sensors and …

Autonomous unmanned aerial vehicles in bushfire management: Challenges and opportunities

S Partheepan, F Sanati, J Hassan - Drones, 2023 - mdpi.com
The intensity and frequency of bushfires have increased significantly, destroying property
and living species in recent years. Presently, unmanned aerial vehicle (UAV) technology …

Unmanned Aerial Vehicle (UAV) based Forest Fire Detection and monitoring for reducing false alarms in forest-fires

S Sudhakar, V Vijayakumar, CS Kumar, V Priya… - Computer …, 2020 - Elsevier
The primary sources for ecological degradation currently are the Forest Fires (FF). The
present observation frameworks for FF absence need supporting in constant checking of …

Overview and current status of remote sensing applications based on unmanned aerial vehicles (UAVs)

G Pajares - Photogrammetric Engineering & Remote Sensing, 2015 - ingentaconnect.com
Remotely Piloted Aircraft (RPA) is presently in continuous development at a rapid pace.
Unmanned Aerial Vehicles (UAVs) or more extensively Unmanned Aerial Systems (UAS) …

Unmanned aerial vehicles for wildland fires: Sensing, perception, cooperation and assistance

MA Akhloufi, A Couturier, NA Castro - Drones, 2021 - mdpi.com
Wildfires represent a significant natural risk causing economic losses, human death and
environmental damage. In recent years, the world has seen an increase in fire intensity and …

A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques

C Yuan, Y Zhang, Z Liu - Canadian journal of forest research, 2015 - cdnsciencepub.com
Because of their rapid maneuverability, extended operational range, and improved
personnel safety, unmanned aerial vehicles (UAVs) with vision-based systems have great …

Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland …

T Liu, A Abd-Elrahman, J Morton… - GIScience & remote …, 2018 - Taylor & Francis
Deep learning networks have shown great success in several computer vision applications,
but its implementation in natural land cover mapping in the context of object-based image …

UAVs as remote sensing platforms in plant ecology: review of applications and challenges

Z Sun, X Wang, Z Wang, L Yang, Y Xie… - Journal of Plant …, 2021 - academic.oup.com
Abstract Aims Unmanned aerial vehicles (UAVs), ie drones, have recently emerged as cost-
effective and flexible tools for acquiring remote sensing data with fine spatial and temporal …

Forest fire identification in uav imagery using x-mobilenet

A Namburu, P Selvaraj, S Mohan, S Ragavanantham… - Electronics, 2023 - mdpi.com
Forest fires are caused naturally by lightning, high atmospheric temperatures, and dryness.
Forest fires have ramifications for both climatic conditions and anthropogenic ecosystems …

Edge video analytics for public safety: A review

Q Zhang, H Sun, X Wu, H Zhong - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
With the installation of enormous public safety and transportation infrastructure cameras,
video analytics has come to play an essential part in public safety. Typically, video analytics …