2018
DOI: 10.5194/amt-11-781-2018
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Improved optical flow velocity analysis in SO<sub>2</sub> camera images of volcanic plumes – implications for emission-rate retrievals investigated at Mt Etna, Italy and Guallatiri, Chile

Abstract: Abstract. Accurate gas velocity measurements in emission plumes are highly desirable for various atmospheric remote sensing applications. The imaging technique of UV SO 2 cameras is commonly used to monitor SO 2 emissions from volcanoes and anthropogenic sources (e.g. power plants, ships). The camera systems capture the emission plumes at high spatial and temporal resolution. This allows the gas velocities in the plume to be retrieved directly from the images. The latter can be measured at a pixel level using … Show more

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Cited by 25 publications
(23 citation statements)
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“…by comparing the DOAS column densities to the measured plume optical densities in the DOAS field of view within the images and deriving a linear relationship. The plume velocity was determined at each pixel using a hybrid optical flow method that includes a correction for ill‐constrained plume tracking in the often‐homogeneous plume center (Gliß et al, 2018). Finally, the SO 2 emission rate was determined by multiplying the column density with the orthogonal plume velocity and integrating along a cross section of the gas plume near the volcano's vent (see Figure A1).…”
Section: Methodsmentioning
confidence: 99%
“…by comparing the DOAS column densities to the measured plume optical densities in the DOAS field of view within the images and deriving a linear relationship. The plume velocity was determined at each pixel using a hybrid optical flow method that includes a correction for ill‐constrained plume tracking in the often‐homogeneous plume center (Gliß et al, 2018). Finally, the SO 2 emission rate was determined by multiplying the column density with the orthogonal plume velocity and integrating along a cross section of the gas plume near the volcano's vent (see Figure A1).…”
Section: Methodsmentioning
confidence: 99%
“…Several studies have examined potential error sources in wind speed determination using optical flow models (Peters et al, 2015;Klein et al, 2017;Gliß et al, 2018). Thus, for the case studies presented here, plume features in the SO 2 camera imagery were manually tracked to calculate plume speed.…”
Section: Plume Speed From So 2 Camera Imagerymentioning
confidence: 99%
“…Windspeeds for calculating SO 2 fluxes can also be obtained directly from UV im-Corresponding author: tehnuka@volcanofiles.com age sequences [e.g. Gliß et al 2018;Peters and Oppenheimer 2018], whereas windspeeds for DOAS flux calculations often require the use of multiple scanners and cross-correlation [McGonigle et al 2009;Galle et al 2010], independent windspeeds from in situ measurements [e.g. Prata 2013], or forecast models [Lübcke et al 2013].…”
Section: Introductionmentioning
confidence: 99%