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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 2 | Copyright
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

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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A Python Software Toolbox for the Analysis of SO2 Camera Data. Implications in Geosciences J. Gliß, K. Stebel, A. Kylling, A. S. Dinger, H. Sihler, and A. Sudbø https://doi.org/10.3390/geosciences7040134

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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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