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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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Atmos. Meas. Tech., 11, 781-801, 2018
https://doi.org/10.5194/amt-11-781-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
08 Feb 2018
Improved optical flow velocity analysis in SO2 camera images of volcanic plumes – implications for emission-rate retrievals investigated at Mt Etna, Italy and Guallatiri, Chile
Jonas Gliß et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Referee Comment', Christoph Kern, 09 Sep 2017 Printer-friendly Version 
AC1: 'Authors repsonse to review from C. Kern', Jonas Gliss, 30 Nov 2017 Printer-friendly Version Supplement 
 
RC2: 'Referee comment', Anonymous Referee #3, 26 Oct 2017 Printer-friendly Version 
AC2: 'Authors response to review from anonymous reviewer 3', Jonas Gliss, 30 Nov 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jonas Gliss on behalf of the Authors (30 Nov 2017)  Author's response  Manuscript
ED: Publish as is (06 Dec 2017) by Joanna Joiner  
CC BY 4.0
Publications Copernicus
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Short summary
The paper focusses on gas-velocity retrievals in emission plumes using optical flow (OF) algorithms applied to remote sensing imagery. OF algorithms can measure the velocities on a pixel level between consecutive images. An issue of OF algorithms is that they often fail to detect motion in contrast-poor image areas. A correction based on histograms of an OF vector field is proposed. The new method is applied to two example volcanic data sets from Mt Etna, Italy and Guallatiri, Chile.
The paper focusses on gas-velocity retrievals in emission plumes using optical flow (OF)...
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