Unmanned Aerial Vehicle Depth Inversion to Monitor River-Mouth Bar Dynamics
| Autor: | Yoshinao Matsuba, Takenori Shimozono, Takumi Okabe, Kana Hashimoto |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Unmanned Aerial Vehicle
bathymetry river mouth delta 010504 meteorology & atmospheric sciences Bar (music) Science 0211 other engineering and technologies 02 engineering and technology 01 natural sciences River mouth Bathymetry 021101 geological & geomatics engineering 0105 earth and related environmental sciences geography geography.geographical_feature_category Front (oceanography) Sediment Breaking wave Geodesy Swell Typhoon General Earth and Planetary Sciences Geology |
| Zdroj: | Remote Sensing, Vol 13, Iss 412, p 412 (2021) Remote Sensing; Volume 13; Issue 3; Pages: 412 |
| ISSN: | 2072-4292 |
| Popis: | Monitoring the morphological evolution of a river-mouth bar is of both practical and scientific importance. A large amount of sediment is transported from a river to surrounding littoral cells via a deltaic bar after an extreme weather event. However, it is often not feasible to capture drastic morphological changes in the short term with conventional bathymetric surveys. This paper presents a depth-inversion method based on unmanned aerial vehicle technology to estimate two-dimensional bathymetry from video-sensed swell propagation. The estimation algorithm is tested over four cases with varying wave and bathymetric conditions and is validated with transect survey data. The test results suggest that the method can estimate deltaic-bar topography in front of a river mouth with a root-mean-square error of |
| Databáze: | OpenAIRE |
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