Journal
HYDROLOGICAL PROCESSES
Volume 30, Issue 7, Pages 1114-1130Publisher
WILEY
DOI: 10.1002/hyp.10698
Keywords
surface flow measurements; surface hydrology; large-scale particle image velocimetry; unmanned aerial vehicle
Categories
Funding
- Ministero degli Affari Esteri project Italy-USA [PGR00175]
- American Geophysical Union Horton (Hydrology) Research Grant
- Honors Center of Italian Universities
Ask authors/readers for more resources
Remote surface flow observations are crucial for improving the comprehension of hydrological phenomena. A recent advancement in remote hydrological measurements involves the use of drones for generating surface flow-velocity field maps through large-scale particle image velocimetry (LSPIV). In this work, we perform a comparative analysis of drone-based LSPIV with fixed implementations. Quantitative indices are introduced to test the efficiency of the techniques with regards to measurement accuracy, sensitivity to the transit of tracers, and platform mobility. Experimental findings support drone-based observations in outdoor settings. Specifically, measurements from the aerial platform are more sensitive to the transit of tracers and closer to benchmark values than traditional LSPIV implementations. Future work should aim at improving the stability of the aerial platform and mitigating the effects of tracer scarcity. Copyright (c) 2015 John Wiley & Sons, Ltd.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available