Prediction and Prevention of Wildfires
There are many efforts underway to predict and prevent wildfires as described in the previous section ; however , here we outline an approach that uses a combination of multiple available technologies . We are utilizing technologies such as the Internet of Things ( IoT ) and UAVs ( Unmanned Aerial Vehicles ).
1 . UAV Based Surveillance : UAVs / Drones are becoming increasingly more useful and new use cases are being identified . One of the more popular UAV uses is survellience . 18 19 UAVs have a wider range of access to and from difficult terrain and location to well connected geographical locations .
2 . UAV / Drones do not require any prior installation and eliminate the costs associated with it . Additionally , it can be equipped with a spectrum of sensors which can capture most of the environmental inputs .
3 . Drones , unlike IoT devices , do not require to be fixed to a geographic location . The data collected by UAV based sensors and cameras are suitable for different kinds of analysis . The recordings of the thermal sensors can be analyzed from the point of view of fire presence on the area , surface distribution of soil temperature , plant temperature , and presence of fire condition on the given territory .
4 . The investment into drone powered solutions is solid and advisable due to the fact that drones are cheap , and the prices of the necessary drones show a decreasing tendency . 5 . There is a potential challenge regarding legal requirements for using drones / UAVs at fire sites ; however , this challenge can be overcome by working with respective agencies 20 that provide regulations in this area . Each country follows different legal requirements and regulatory standards 21 to seek approval 22 . Widespread usage / bulk deployment of UAVs can pose additional legal challenges which need to be explored before applying a solution . There is no single rule or guideline available , hence there is a need for further analysis and exploration of the legal framework for each juridisction 23 .
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124 April 2023