Unmanned Aerial Vehicle based flash flood monitoring using Lagrangian trackers
نویسندگان
چکیده
Floods are the most common type of natural disaster, and causes thousands of casualties every year in the world. In particular, flash flood events are particularly deadly because of their short timescales. Classical sensing solutions such as fixed wireless sensor networks or satellite imagery are either too expensive or too inaccurate to detect them. In this article, we show that Unmanned Aerial Vehicles equipped with mobile microsensors could be capable of sensing flash floods in real time for a low overall cost, saving lives and greatly improving the efficiency of the emergency response. We present an ongoing implementation of this system using 3D printed sensors and sensor delivery systems on a UAV testbed as well as some preliminary results using simulation data.
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