this study evaluates the utility of using structure for motion sfm to create highresolution digital surface models dsms of coastal environments using low altitude aerial images collected by unmanned aerial Vehicles UAV the sfm image-based approach was chosen for its rapid inexpensive and automated method of producing 3D information from unstructured aerial images the study generated a dense Point cloud and DS M of a beach Dune system in Marina D Rena Italy using uavs FM the quality of the elevat
ion data set was evaluated by comparing it with Point clouds generated by terrestrial laser scanning TLS surveys and the results showed an average difference of 0.05 M RMS equal 0.19 m however geomorphic features were assessed using multi-temporal surfaces analysis where an interpolation process is required dsms were generated from UAV and TLS points clouds and vertical absolute accuracies were assessed by comparing with a global navigation satellite system gnss survey the results showed that th
e average distance between UAV and TLS dsms was at CM level RMS equals 0.011 m and the direct Point by Point comparison between UAV and TLS elevations had an average distance of0 .015 M with RMS equal 0.220 m the study demonstrated that the UAV based approach was straightforward and the accuracy of the vertical data set was comparable to results obtained using TLS technology this article was authored by Franchesco manini Marco deini Mario gatelli and others we are article. TV links in the descri
ption below
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