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Dataset for "A drone-borne method to jointly estimate discharge and Manning's roughness of natural streams"

Authors: Bandini Filippo; Beat Lüthi; Peña-Haro, Salvador; Borst, Chris; Liu, Jun; Karagkiolidou, Sofia; Xiao ,Hu; +3 Authors

Dataset for "A drone-borne method to jointly estimate discharge and Manning's roughness of natural streams"

Abstract

Dataset for paper "A drone-borne method to jointly estimate discharge and Manning's roughness of natural streams". The dataset contains the videos used for Particle Image Velocitymetry (PIV) of all the 27 sites. The open source freely available software PIVlab (MATLAB) can be used to obtain the velocity field in pixel unit. To convert the velocity field from pixels into the metric units, it is possible to use the values of px [m/pixel] available in a Table in the Supporting Information of the published paper. Additional processing codes (Matlab) to estimate the velocity profile and compute discharge are available in a Gitlab repository upon demand.

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Keywords

PIV, discharge, drone

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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