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- W3134137807 abstract "Since the introduction of drones to the mass market for private users, drone pilots have started to share geo-tagged aerial photos and videos on a variety of drone platforms. This study compares the spatio-temporal contribution patterns of georeferenced drone-based images and videos between three crowd-sourcing platforms, namely Dronestagram, Travelwithdrone, and Flickr. The comparison addresses aspects of spatial accuracy, geographic coverage, contribution inequality, power-law approximations of different contribution characteristics, and negative binomial multilevel regression models that identify man-made and natural features, socio-economic factors, and land use categories that are associated with image and video contribution numbers. This study provides new insight into the abundance of drone-based image and video contributions around the globe, helps to determine which drone platform is best suited to find drone media for a specific location, and discusses a few potential applications that could benefit from crowd-sourced drone imagery and videos." @default.
- W3134137807 created "2021-03-15" @default.
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- W3134137807 date "2021-02-24" @default.
- W3134137807 modified "2023-09-24" @default.
- W3134137807 title "Comparison of spatiotemporal contribution patterns among three crowd-sourcing drone platforms" @default.
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- W3134137807 doi "https://doi.org/10.1080/17489725.2021.1889057" @default.
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