engleski

Remote data sensing based on commercial aircraft flights

The main aspect of this thesis was to examine, can aerial imagery performed by commercial aircraft sensing, be an adequate source of remote sensing data. Remote sensing in this thesis refers to imagery collected from real aircraft flights obtained during one day. In this thesis, we've tested the efficiency of three different cameras (Canon A2400, Sony A7, and Imperx T9040) in the acquisition of aerial imagery. We've calculated the coverage rates for 44 European countries and for the Europe, and we've shown each country area coverage with several generated maps. We've tested the efficiency of using only the seven largest (in terms of the number of flights) airline companies and three airline alliances. Furthermore, we've calculated the frequency rates of flyovers for each country and Europe as a whole. We've shown obtained results by means of heat maps where we depicted the flyover rates with different shades of blue. For the final calculations in our paper, we've calculated the number of images required to cover an average flight for each of the cameras. We've also determined the spatial resolution for our cameras by transforming pixels to meters. We also calculated the amount of memory required to store all those images for each camera. By extracting flight data for a period of one day (24 hour period), we've determined that Europe is covered with about 85% of surface for each of the analysed cameras. Additionally, about a quarter of all European countries are completely covered during the one day. The results for the seven airlines in terms of coverage is somewhat disappointed, resulting in coverage from 30% to 40% across all airlines. However, combining all flights of analysed airlines results with 72% coverage of Europe, which is impressive considering that there is only about a quarter of flights compared to our first results. The airline alliances have a surface coverage score between 55% to 62%. The results for the calculation of flyovers frequency shows that Europe has on average 41 flights over any area per day. Central Europe has the highest flyover rates, and Scandinavian countries have the lowest. As far as the storage of images is concerned for the camera with the most memory intensive images, the storage required for an average flight is 197 GB. The obtained results in this thesis shows that commercial airline flights are a viable platform for remote sensing.

remote sensing ; aerial imaging ; spatial analytics ; Jupyter Notebook ; Python ; csv ; Shapely ; Folium ; aircraft

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