UAV Imaging of the Riverbed in Small, Tree-Lined Streams: Importance of the Light Environment

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 tree-lined 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.

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Publication Details

Journal
Remote Sensing
Published
2025-08-11
DOI
https://doi.org/10.3390/rs17162775
Primary Topic
Hydrology and Sediment Transport Processes
Type
article
Field-Weighted Citation Impact
0.00

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article

UAV Imaging of the Riverbed in Small, Tree-Lined Streams: Importance of the Light Environment

Marie‐Pierre Gosselin, Richard David Hedger
Remote Sensing
Hydrology and Sediment Transport Processes
article

UAV Imaging of the Riverbed in Small, Tree-Lined Streams: Importance of the Light Environment

Marie‐Pierre Gosselin, Richard David Hedger
article en

Abstract

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 tree-lined 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.

Remote SensingVol. 17(16)
Norwegian Institute for Nature Research (NO)
Norsk institutt for naturforskning
Life in Land
Openalex Percentile: Top 79%
Hydrology and Sediment Transport Processes
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