Analysing user contribution patterns of drone pictures to the dronestagram photo sharing portal

Results show that the number of uploaded pictures is associated with the socioeconomic development of a country and the presence of geographical features, and that pictures are clustered in sub-regions.

Abstract

Drones, also known as unmanned aerial vehicles, are nowadays frequently used to supplement traditional airborne data collection methods such as aerial photography and satellite imagery. Dronestagram, launched in July 2013, is one of the first Web 2.0 projects that share georeferenced drone pictures, providing a valuable source of VGI image data. This paper analyses spatial patterns of contributions to dronestagram world-wide and for two selected regions. Results show that the number of uploaded pictures is associated with the socioeconomic development of a country and the presence of geographical features, and that pictures are clustered in sub-regions.