Nov 17 – 18, 2022
Mercure Budapest Castle Hill
Europe/Budapest timezone

UAVs collaborate with satellites in an early wildfire monitoring and rescue system

Not scheduled
20m
Mercure Budapest Castle Hill

Mercure Budapest Castle Hill

Budapest, Ntak:Sz19000364, Szálloda, Krisztina krt. 41-43, 1013•(06 1) 488 8100

Speaker

Chang Liu (Machine Perception Research Laboratory of Institute for Computer Science and Control (SZTAKI))

Description

Wildfires pose a significant threat to human safety and animal mortality, and it is becoming increasingly important to monitor and stop the onset and spread of these wildfires. Drones have the advantages of small size and flexibility, making them one of the best tools for monitoring these early wildfires. With the rapid development of drone technology, it has become possible to use UAVs with multispectral cameras to monitor and assess wildfires and participate in fire rescue and path planning, among other things. However, due to flight altitude and time constraints, drones are unlikely to be able to conduct long-term monitoring over large areas such as forests. Cooperation between drones and Sentinel-2 satellites with multispectral images can solve this problem. The Sentinel-2 satellite can provide stable and regular monitoring ranging from a few hours to a few days. Furthermore, the NIR/SWIR bands on the satellite provide better smoke penetration, burned areas, and visible burn scars. After receiving warning messages from the satellite, the shortest range UAVs reach the fire area within minutes and immediately perform specific tasks. In addition to recognizing fire bodies and smoke, drones can also recognize human rescue gestures and navigate humans in distress, leading to a timely and effective rescue. In this paper, the results of the Chongqing wildfire of August 24, 2022, are used as an example to confirm that early wildfires can be monitored and rescue measures taken through cooperation between UAVs and Sentinel-2 satellites.

Primary authors

Chang Liu (Machine Perception Research Laboratory of Institute for Computer Science and Control (SZTAKI)) Mr Morui Zhu (Budapest University of Technology and Economics) Prof. Tamás Szirányi (Machine Perception Research Laboratory of Institute for Computer Science and Control (SZTAKI))

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