engleski

Spatial, situation statistical models of the uas’s survey of the mine suspected areas damaged by landslides, torrents and floods

The use of the unmanned aircraft systems (UAS) for humanitarian mine action is comming technology. There is a large discrepancy between very simplified offering of UAS industry and the needs of the mine action. The misunderstanding between the potentials and operational needs is a main obstacle for deployment of UAS in mine action. The own experience of the application of UAS in a large mine suspected areas, influenced by severe natural disaster in 2014 motivated us to consider this topic deeper. In considered cases UAS were exposed to the variety of extreme requirements, the situations, terrain, relief, vegetation, hazard level, acces, GPS satelite availability. Our goal is to derive situation spatial statistical models and explain impact of majority of the mentioned variables. Aerial mapping of the affected mine suspected area damaged by landslides, torrents and floods was conducted with two different UAS, we use only one data set. Once obtained, the data acquired from the UAS were processed and new digital orthomosaic and digital surface terrain models of affected mine suspected areas were produced. When the initial evaluation of spatial accuracy was done it was found that the value of spatial positional error varies, considerably from 1m to 45m, regardless of the uniform processing procedure. Due to various factors that could affect the data to oscillate in positional accuracy so greatly it is clear that simply understanding of this phenomenon is not possible and it is necessary conduct deeper analysis of the data. For further analysis one data set of 11 recorded locations was selected. In this paper will be presented different statistical models of the various factors influence on the realization of spatial accuracy.

UAS, mine action, operational needs, spatial accuracy, DSM

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