Quantification of bedform dynamics and bedload sediment flux in sandy braided rivers from airborne and satellite imagery
Quantification of bedform dynamics and bedload sediment flux in sandy braided rivers from airborne and satellite imagery
复制标题
通过机载和卫星图像量化沙质辫状河中的床形动力学和床载沉积通量
DOI:
10.1002/esp.4558
复制
发表时间:
2019
影响因子:
3.3
通讯作者:
Strick R
中科院分区:
文献类型:
--
作者:
Strick R
Images from specially‐commissioned aeroplane sorties (manned aerial vehicle, MAV), repeat unmanned aerial vehicle (UAV) surveys, and Planet CubeSat satellites are used to quantify dune and bar dynamics in the sandy braided South Saskatchewan River, Canada. Structure‐from‐Motion (SfM) techniques and application of a depth‐brightness model are used to produce a series of Digital Surface Models (DSMs) at low and near‐bankfull flows. A number of technical and image processing challenges are described that arise from the application of SfM in dry and submerged environments. A model for best practice is presented and analysis suggests a depth‐brightness model approach can represent the different scales of bedforms present in sandy braided rivers with low‐turbidity and shallow (< 2 m deep) water.The aerial imagery is used to quantify the spatial distribution of unit bar and dune migration rate in an 18 km reach and three ~1 km long reaches respectively. Dune and unit bar migration rates are highly variable in response to local variations in planform morphology. Sediment transport rates for dunes and unit bars, obtained by integrating migration rates (from UAV) with the volume of sediment moved (from DSMs using MAV imagery) show near‐equivalence in sediment flux. Hence, reach‐based sediment transport rate estimates can be derived from unit bar data alone. Moreover, it is shown that reasonable estimates of sediment transport rate can be made using just unit bar migration rates as measured from 2D imagery, including from satellite images, so long as informed assumptions are made regarding average bar shape and height. With recent availability of frequent, repeat satellite imagery, and the ease of undertaking repeat MAV and UAV surveys, for the first time, it may be possible to provide global estimates of bedload sediment flux for large or inaccessible low‐turbidity rivers that currently have sparse information on bedload sediment transport rates. © 2018 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd.
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影响因子:
5.4
作者:
C. Legleiter
通讯作者:
C. Legleiter
影响因子:
1.4
作者:
V. Galay;R. S. Pentland;R. Halliday
通讯作者:
R. Halliday
影响因子:
3.3
作者:
R. Williams;J. Brasington;D. Vericat;D. Hicks
通讯作者:
R. Williams;J. Brasington;D. Vericat;D. Hicks
影响因子:
6.3
作者:
Filippo Bandini;D. Olesen;J. Jakobsen;C. M. Kittel;Sheng Wang;Mónica García;P. Bauer‐Gottwein
通讯作者:
P. Bauer‐Gottwein
DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
C. Kelleher;Christopher Scholz;L. Condon;Marlowe Reardon
通讯作者:
Marlowe Reardon