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The dataset consists of a shapefile of measurements of surface velocity magnitude and direction at the Colorado River at Compact Point near Lees Ferry, AZ, on March 18, 2021. The dataset contains approximately 1.2 km of river length. The surface velocity measurements were made by applying Large-Scale Particle Image Velocimetry (LSPIV) techniques, using overlapping videos collected by small Unmanned Aircraft Systems (sUAS). Total time to capture all videos was less than one hour, and all frames (except frame 1, see Process Steps below) from all videos were used. Additional attributes, including divergence, curl, shear, and strain, were calculated from the surface velocity measurements and are included in the dataset.
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For over 125 years, the U.S. Geological Survey streamgage network has provided important hydrologic information about rivers and streams throughout the Nation. Traditional streamgage methods provide reliable stage and streamflow data but typically only monitor stage at a single location in a river and require frequent calibration streamflow measurements. Direct measurements are not always feasible, therefore improved sensors and methods are being deployed at gages to better document streamflow conditions between measurements. The technology and techniques of reach-scale monitoring allow the U.S. Geological Survey to collect more data across the full range of streamflow without requiring that a hydrographer be present....
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The dataset consists of a shapefile of measurements of surface velocity magnitude and direction at the Colorado River at Salt Wash near Moab, UT, on October 7, 2020. The dataset contains approximately 3 km of river length. The surface velocity measurements were made by applying Large-Scale Particle Image Velocimetry (LSPIV) techniques, using overlapping videos collected by small Unmanned Aircraft Systems (sUAS). Additional attributes were calculated from the surface velocity measurements and are included in the dataset.
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The dataset contains GPS survey data from two surveys conducted after a flow event on September 19, 2018, at the USGS streamgage 09487000 - Brawley Wash near Three Points, AZ. The first survey, on October 1, 2018, documents cross section geometry and high-water marks from the flow event in the reach downstream from the gage. The second survey, on January 31, 2019, documents additional high-water marks and provides ground control for a small unmanned aircraft system survey. The surveys were performed using Leica GS14 RTK GPS equipment, S/N base-2806898, S/N rover-2806883.
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These data were compiled for assessing how geomorphic changes measured as topographic differences from repeat surveys represent measured and modelled estimates of aeolian sediment transport and dune mobility. Objective(s) of our study were to investigate whether topographic changes can serve as a proxy for aeolian transport and sediment mobility in dunefield environments. This was accomplished by relating topographic changes to modeled and observed estimates of sediment transport and dune mobility over months to decades within a partially vegetated dunefield starved of upwind sediment supplies. We specifically tested if topographic changes measured as net and total volume changes and topographic surface roughness...
Tags: Arizona,
Colorado River,
Glen Canyon National Recreation Area,
Grand Canyon,
Grand Canyon National Park, All tags...
Lees Ferry,
Paria River,
UAV imagery,
USGS:658efcd9d34e3265ab14d2bc,
aeolian,
aerial photography,
bare sand,
biocrust sand,
biogeography,
biological soil crusts,
biota,
change detection,
climatologyMeteorologyAtmosphere,
data release,
disturbed,
dune field,
dune mobility,
dune surface,
elevation,
environment,
geomorphic change,
geomorphology,
gravel bar,
gravel deposits,
image collections,
imageryBaseMapsEarthCover,
in-field sediment transport data,
land use and land cover,
land use change,
planningCadastre,
remote sensing,
repeat surveys,
sediment transport,
topographic differences,
topographic surveys,
topography,
unconsolidated deposits,
unoccupied aerial vehicle imagery,
vegetated sand,
vegetation,
wind,
wind strength,
woody vegetation, Fewer tags
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