To address the geomorphological and hydrological dynamics of fluvial systems, one of the most promising solutions is represented by the use of Unmanned Aerial Vehicle, as it allows the on-demand acquisition of high-resolution images. However, the high number of images and the computing resources needed for image processing potentially limits the extension of the areas to be monitored. This work involves the use of UAV systems and Structure from Motion techniques as the main tools to develop high-resolution models of a section of the Basento river, in Basilicata. By developing a shell script to run the SfM process on to a cloud system, it was possible to exceed the range limit imposed by UAV surveys thanks to distributed computing. We managed to design a workflow useful to analyze an extended section of river with very high resolutions and to characterize it from a geomorphological and/or hydraulic point of view.

Application of uav system and sfm techniques to develop high-resolution terrain models

La Salandra, M.;Capolongo, D.;Nicotri, S.;Donvito, G.
2020-01-01

Abstract

To address the geomorphological and hydrological dynamics of fluvial systems, one of the most promising solutions is represented by the use of Unmanned Aerial Vehicle, as it allows the on-demand acquisition of high-resolution images. However, the high number of images and the computing resources needed for image processing potentially limits the extension of the areas to be monitored. This work involves the use of UAV systems and Structure from Motion techniques as the main tools to develop high-resolution models of a section of the Basento river, in Basilicata. By developing a shell script to run the SfM process on to a cloud system, it was possible to exceed the range limit imposed by UAV surveys thanks to distributed computing. We managed to design a workflow useful to analyze an extended section of river with very high resolutions and to characterize it from a geomorphological and/or hydraulic point of view.
2020
9781003110958
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/467981
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