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

Accurate gas velocity measurements in emission plumes are highly desirable for various atmospheric remote sensing applications. The imaging technique of UV SO<sub>2</sub> cameras is commonly used to monitor SO<sub>2</sub> emissions from volcanoes and anthropogenic sources...

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Main Authors: J. Gliß, K. Stebel, A. Kylling, A. Sudbø
Format: Article
Language:English
Published: Copernicus Publications 2018-02-01
Series:Atmospheric Measurement Techniques
Online Access:https://www.atmos-meas-tech.net/11/781/2018/amt-11-781-2018.pdf
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spelling doaj-0ffc37809b61434e8acee252ffaf41102020-11-24T22:01:17ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482018-02-011178180110.5194/amt-11-781-2018Improved 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, ChileJ. Gliß0J. Gliß1J. Gliß2J. Gliß3K. Stebel4A. Kylling5A. Sudbø6Norwegian Institute for Air Research, Kjeller, NorwayDepartment of Physics, University of Oslo (UiO), Oslo, NorwayDepartment of Technology Systems, University of Oslo (UiO), Kjeller, Norway Invited contribution by Jonas Gliß, recipient of the EGU Outstanding Student Poster and PICO (OSPP) Awards 2017. Norwegian Institute for Air Research, Kjeller, NorwayNorwegian Institute for Air Research, Kjeller, NorwayDepartment of Technology Systems, University of Oslo (UiO), Kjeller, NorwayAccurate gas velocity measurements in emission plumes are highly desirable for various atmospheric remote sensing applications. The imaging technique of UV SO<sub>2</sub> cameras is commonly used to monitor SO<sub>2</sub> 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 optical flow (OF) algorithms. This is particularly advantageous under turbulent plume conditions. However, OF algorithms intrinsically rely on contrast in the images and often fail to detect motion in low-contrast image areas. We present a new method to identify ill-constrained OF motion vectors and replace them using the local average velocity vector. The latter is derived based on histograms of the retrieved OF motion fields. The new method is applied to two example data sets recorded at Mt Etna (Italy) and Guallatiri (Chile). We show that in many cases, the uncorrected OF yields significantly underestimated SO<sub>2</sub> emission rates. We further show that our proposed correction can account for this and that it significantly improves the reliability of optical-flow-based gas velocity retrievals. <br><br> In the case of Mt Etna, the SO<sub>2</sub> emissions of the north-eastern crater are investigated. The corrected SO<sub>2</sub> emission rates range between 4.8 and 10.7 kg s<sup>−1</sup> (average of 7.1  ±  1.3 kg s<sup>−1</sup>) and are in good agreement with previously reported values. For the Guallatiri data, the emissions of the central crater and a fumarolic field are investigated. The retrieved SO<sub>2</sub> emission rates are between 0.5 and 2.9 kg s<sup>−1</sup> (average of 1.3  ±  0.5 kg s<sup>−1</sup>) and provide the first report of SO<sub>2</sub> emissions from this remotely located and inaccessible volcano.https://www.atmos-meas-tech.net/11/781/2018/amt-11-781-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author J. Gliß
J. Gliß
J. Gliß
J. Gliß
K. Stebel
A. Kylling
A. Sudbø
spellingShingle J. Gliß
J. Gliß
J. Gliß
J. Gliß
K. Stebel
A. Kylling
A. Sudbø
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
Atmospheric Measurement Techniques
author_facet J. Gliß
J. Gliß
J. Gliß
J. Gliß
K. Stebel
A. Kylling
A. Sudbø
author_sort J. Gliß
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2018-02-01
description Accurate gas velocity measurements in emission plumes are highly desirable for various atmospheric remote sensing applications. The imaging technique of UV SO<sub>2</sub> cameras is commonly used to monitor SO<sub>2</sub> 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 optical flow (OF) algorithms. This is particularly advantageous under turbulent plume conditions. However, OF algorithms intrinsically rely on contrast in the images and often fail to detect motion in low-contrast image areas. We present a new method to identify ill-constrained OF motion vectors and replace them using the local average velocity vector. The latter is derived based on histograms of the retrieved OF motion fields. The new method is applied to two example data sets recorded at Mt Etna (Italy) and Guallatiri (Chile). We show that in many cases, the uncorrected OF yields significantly underestimated SO<sub>2</sub> emission rates. We further show that our proposed correction can account for this and that it significantly improves the reliability of optical-flow-based gas velocity retrievals. <br><br> In the case of Mt Etna, the SO<sub>2</sub> emissions of the north-eastern crater are investigated. The corrected SO<sub>2</sub> emission rates range between 4.8 and 10.7 kg s<sup>−1</sup> (average of 7.1  ±  1.3 kg s<sup>−1</sup>) and are in good agreement with previously reported values. For the Guallatiri data, the emissions of the central crater and a fumarolic field are investigated. The retrieved SO<sub>2</sub> emission rates are between 0.5 and 2.9 kg s<sup>−1</sup> (average of 1.3  ±  0.5 kg s<sup>−1</sup>) and provide the first report of SO<sub>2</sub> emissions from this remotely located and inaccessible volcano.
url https://www.atmos-meas-tech.net/11/781/2018/amt-11-781-2018.pdf
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