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    <title>Consumer-grade UAV solid-state LiDAR accurately quantifies topography in a vegetated fluvial environment</title>
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    <note>Funding also acknowledged from NERC (NE/T005920/1) and NERC Geophysical Equipment Facility Loan (1118)</note>
    <abstract>To accompany a journal article in Earth Surface Processes &amp; Landforms (ESPL) which details an investigation into the data quality and limitations of using the DJI L1 solid-state LiDAR system at both a controlled test location (Garscube Sports Fields, Glasgow, Scotland) and also in a geomorphic environment (River Feshie, Highlands, Scotland).
Included are the following datasets (further detailed in readme file):
• Point Clouds
	o Garscube – 4 x raw, unthinned
	o Feshie – 6 x thinned to 15cm density
	o Terrestrial Laser Scanning – 7 x gravel comparison patches
• Digital Elevation Model
	o River Feshie only (see Figure 10 of article)
• GNSS points
	o Garscube – GCPs &amp; Football pitch markings
	o Feshie – GCPs, check points and vegetation</abstract>
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        <project_name>Catchment susceptibility to hydrometeorological events: sediment flux and geomorphic change as drivers of flood risk in the Philippines</project_name>
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        <funder_name>Natural Environment Research Council (NERC)</funder_name>
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        <funder_name>The Carnegie Trust for the Universities of Scotland (CARNEGTR)</funder_name>
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