Unmanned aerial vehicles (UAVs) are an ideal platform for the remote sensing of riverbeds
in small, tree-lined streams, allowing unobstructed viewing of the channel at high spatial
resolution. However, effective UAV surveying of these riverbeds is hindered by a range
of phenomena associated with the complex light environments of rivers, and small treelined
streams in particular, including reflections of the overlying cloud layer from the
water surface, sunglint on the water surface, and shadows from topography and riparian
vegetation. We used UAV imagery acquired from small, tree-lined streams under different
light conditions to identify the prevalence of the main phenomena—reflections of clouds,
sunglint, and shadows—that hinder the ability to discern the riverbed. We characterized
how large a constraint these phenomena are on the optimal imaging window. We then
examined the degree to which sub-optimal light conditions may restrict this window, both
within the year and within the day, across Europe. Our investigations suggest that different
regions across Europe will have different priorities with regard to imaging, with surveys
in northern rivers emphasizing avoiding low irradiant intensity in winter and those in
southern rivers emphasizing avoiding sunglint around midday. We use our findings to
suggest a protocol for improved riverbed imaging that is specific to the light environment
of the stream under investigation.publishedVersio
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