THE ALGORITHM FOR THE CONVERSION OF HOT SPOTS DETECTED UAV WILDFIRES IN POLYGON
Wildfires are one of the most powerful factors that have both natural and anthropogenic causes.In countries which have large areas are occupied by forests, natural fires can cause great economic and environmental damage.To effectively combat them, qualitative monitoring and forecasting at various levels is necessary: satellite monitoring, due to its low detail, is useful for obtaining an overall picture, while on-site monitoring (for example, with the help of aviation) is useful for operational monitoring.Operational monitoring can be effectively supplemented with quick models for building fire accessibility areas, which can be of great help in fighting fire, as well as evacuation of people. Such models are characterized by high calculation speed and relatively low accuracy (but sufficient for making operational decisions).In this article you can find description of algorithm for processing and interpreting monitoring data for wildfires, received using UAVs, as well as the indicated advantages and weaknesses of this algorithm are considered. This algorithm is part of a large system for managing wildfires.This algorithm can be used to building polygon of the wildfire based on hot points which was found by UAVs. Then the algorithm can build time slices (reachability areas) of the wildfire.The algorithm is designed specifically for rapid assessment of the situation.The implementation of the algorithm implies the work in the system of geographical coordinates with subsequent mapping (for example, Yandex maps, OSM or Google maps).The implementation of the complex (UAV and this software) was tested in the laboratory, as well as on the range and showed its performance.