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ZENODO
Software . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Software . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Software . 2020
License: CC BY
Data sources: Datacite
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Codes to analyze atmospheric boundary layer turbulence based on thermal videos

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 08 Sep 2020 English Publisher:Zenodo
Authors: Alekseychik, Pavel;

doi: 10.5281/zenodo.4019155 , 10.5281/zenodo.4019154

Codes to analyze atmospheric boundary layer turbulence based on thermal videos

Abstract

Various codes used to analyze thermal videos obtained by drone hovering above a natural ecosystem, process the videos, identify the large turbulent coherent structures and analyze then using a range of tools (statistical, spectral etc.).

Keywords

UAV, UAS, thermography, thermal video, turbulence, boundary layer, eddies, coherent structures, image analysis, pattern recognition

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selected citations
These citations are derived from selected sources.
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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