Validation of high-precision effects of a movable riverbed simulation using unmanned aerial vehicles and structure from motion

For advanced and strategic management of gravel riverbed restoration and stopping of woodland overgrowth, movable riverbed simulations and vegetation dynamic models that can describe a ‘detailed riverbed materials’ transport’ influencing the vegetation dynamics and estimate the creation area of a gr...

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Main Author: Denda Masatoshi
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:E3S Web of Conferences
Online Access:https://doi.org/10.1051/e3sconf/20184002055
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spelling doaj-197307800d754448bb71d590519fed2e2021-02-02T03:18:52ZengEDP SciencesE3S Web of Conferences2267-12422018-01-01400205510.1051/e3sconf/20184002055e3sconf_riverflow2018_02055Validation of high-precision effects of a movable riverbed simulation using unmanned aerial vehicles and structure from motionDenda MasatoshiFor advanced and strategic management of gravel riverbed restoration and stopping of woodland overgrowth, movable riverbed simulations and vegetation dynamic models that can describe a ‘detailed riverbed materials’ transport’ influencing the vegetation dynamics and estimate the creation area of a gravel riverbed are required. As first steps we verified the hypothesis whether high-accuracy observation data using UAV and SfM improve the accuracy of water flow condition and movable riverbed simulation that can describe the riverbed materials’ transport in detail. In the results, High-precision river morphology using UAVs offers the ability to improve the movable riverbed simulation. And these progresses indicated possibilities of UAV and SfM to develop vegetation dynamics model considering the riverbed materials’ transport.https://doi.org/10.1051/e3sconf/20184002055
collection DOAJ
language English
format Article
sources DOAJ
author Denda Masatoshi
spellingShingle Denda Masatoshi
Validation of high-precision effects of a movable riverbed simulation using unmanned aerial vehicles and structure from motion
E3S Web of Conferences
author_facet Denda Masatoshi
author_sort Denda Masatoshi
title Validation of high-precision effects of a movable riverbed simulation using unmanned aerial vehicles and structure from motion
title_short Validation of high-precision effects of a movable riverbed simulation using unmanned aerial vehicles and structure from motion
title_full Validation of high-precision effects of a movable riverbed simulation using unmanned aerial vehicles and structure from motion
title_fullStr Validation of high-precision effects of a movable riverbed simulation using unmanned aerial vehicles and structure from motion
title_full_unstemmed Validation of high-precision effects of a movable riverbed simulation using unmanned aerial vehicles and structure from motion
title_sort validation of high-precision effects of a movable riverbed simulation using unmanned aerial vehicles and structure from motion
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2018-01-01
description For advanced and strategic management of gravel riverbed restoration and stopping of woodland overgrowth, movable riverbed simulations and vegetation dynamic models that can describe a ‘detailed riverbed materials’ transport’ influencing the vegetation dynamics and estimate the creation area of a gravel riverbed are required. As first steps we verified the hypothesis whether high-accuracy observation data using UAV and SfM improve the accuracy of water flow condition and movable riverbed simulation that can describe the riverbed materials’ transport in detail. In the results, High-precision river morphology using UAVs offers the ability to improve the movable riverbed simulation. And these progresses indicated possibilities of UAV and SfM to develop vegetation dynamics model considering the riverbed materials’ transport.
url https://doi.org/10.1051/e3sconf/20184002055
work_keys_str_mv AT dendamasatoshi validationofhighprecisioneffectsofamovableriverbedsimulationusingunmannedaerialvehiclesandstructurefrommotion
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