Articles | Volume 11, issue 2
https://doi.org/10.5194/amt-11-781-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-781-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Feb 2018
Research article |
| 08 Feb 2018
| 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
Norwegian Institute for Air Research, Kjeller, Norway
Department of Physics, University of Oslo (UiO), Oslo, Norway
Department 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.
Kerstin Stebel
Norwegian Institute for Air Research, Kjeller, Norway
Arve Kylling
Norwegian Institute for Air Research, Kjeller, Norway
Aasmund Sudbø
Department of Technology Systems, University of Oslo (UiO), Kjeller, Norway
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Cited
21 citations as recorded by crossref.
- Linking Subsurface to Surface Using Gas Emission and Melt Inclusion Data at Mount Cleveland Volcano, Alaska C. Werner et al. 10.1029/2019GC008882
- Geological evolution of the Guallatiri volcano, Arica y Parinacota Region, northern Chile J. Sepúlveda et al. 10.1016/j.jsames.2020.103117
- Real-time continuous calibration method for an ultraviolet camera K. Wu et al. 10.1364/OL.410635
- A new permanent, low-cost, low-power SO2 camera for continuous measurement of volcanic emissions T. Wilkes et al. 10.3389/feart.2023.1088992
- Measuring SO2 Emission Rates at Kīlauea Volcano, Hawaii, Using an Array of Upward-Looking UV Spectrometers, 2014–2017 T. Elias et al. 10.3389/feart.2018.00214
- Measurement of three dimensional volcanic plume properties using multiple ground based infrared cameras K. Wood et al. 10.1016/j.isprsjprs.2019.06.002
- Spectral Calibration for SO2 Cameras with Light Dilution Effect Correction K. Wu et al. 10.3390/rs15143652
- Two Independent Light Dilution Corrections for the SO2 Camera Retrieve Comparable Emission Rates at Masaya Volcano, Nicaragua M. Varnam et al. 10.3390/rs13050935
- Applications of quantitative thermal infrared hyperspectral imaging (8–14 μm): measuring volcanic SO2 mass flux and determining plume transport velocity using a single sensor A. Gabrieli et al. 10.1007/s00445-019-1305-x
- Volcano video data characterized and classified using computer vision and machine learning algorithms A. Witsil & J. Johnson 10.1016/j.gsf.2020.01.016
- Evidence of boron-rich aqueous and crystalline phases associated with fumarolic emissions at Guallatiri volcano, northern Chile M. Inostroza et al. 10.1016/j.jvolgeores.2021.107270
- Quantification of ash sedimentation dynamics through depolarisation imaging with AshCam B. Esse et al. 10.1038/s41598-018-34110-6
- First Measurements of Gas Flux with a Low-Cost Smartphone Sensor-Based UV Camera on the Volcanoes of Northern Chile F. Aguilera et al. 10.3390/rs12132122
- Determining the three-dimensional structure of a volcanic plume using Unoccupied Aerial System (UAS) imagery A. Albadra et al. 10.1016/j.jvolgeores.2019.106731
- GIS-based volcanic hazards, vulnerability and risks assessment of the Guallatiri Volcano, Arica y Parinacota Region, Chile M. Reyes-Hardy et al. 10.1016/j.jsames.2021.103262
- Quantifying BrO and SO2 distributions in volcanic plumes—Recent advances in imaging Fabry-Pérot interferometer correlation spectroscopy A. Nies et al. 10.3389/feart.2023.1063922
- Can statistics of turbulent tracer dispersion be inferred from camera observations of SO<sub>2</sub> in the ultraviolet? A modelling study A. Kylling et al. 10.5194/amt-13-3303-2020
- A Spectra Classification Methodology of Hyperspectral Infrared Images for Near Real-Time Estimation of the SO2 Emission Flux from Mount Etna with LARA Radiative Transfer Retrieval Model C. Segonne et al. 10.3390/rs12244107
- Ground-Based Remote Sensing and Imaging of Volcanic Gases and Quantitative Determination of Multi-Species Emission Fluxes U. Platt et al. 10.3390/geosciences8020044
- Pyplis–A Python Software Toolbox for the Analysis of SO2 Camera Images for Emission Rate Retrievals from Point Sources J. Gliß et al. 10.3390/geosciences7040134
- Ground-Based Remote Sensing of Volcanic CO2 Fluxes at Solfatara (Italy)—Direct Versus Inverse Bayesian Retrieval M. Queißer et al. 10.3390/rs10010125
18 citations as recorded by crossref.
- Linking Subsurface to Surface Using Gas Emission and Melt Inclusion Data at Mount Cleveland Volcano, Alaska C. Werner et al. 10.1029/2019GC008882
- Geological evolution of the Guallatiri volcano, Arica y Parinacota Region, northern Chile J. Sepúlveda et al. 10.1016/j.jsames.2020.103117
- Real-time continuous calibration method for an ultraviolet camera K. Wu et al. 10.1364/OL.410635
- A new permanent, low-cost, low-power SO2 camera for continuous measurement of volcanic emissions T. Wilkes et al. 10.3389/feart.2023.1088992
- Measuring SO2 Emission Rates at Kīlauea Volcano, Hawaii, Using an Array of Upward-Looking UV Spectrometers, 2014–2017 T. Elias et al. 10.3389/feart.2018.00214
- Measurement of three dimensional volcanic plume properties using multiple ground based infrared cameras K. Wood et al. 10.1016/j.isprsjprs.2019.06.002
- Spectral Calibration for SO2 Cameras with Light Dilution Effect Correction K. Wu et al. 10.3390/rs15143652
- Two Independent Light Dilution Corrections for the SO2 Camera Retrieve Comparable Emission Rates at Masaya Volcano, Nicaragua M. Varnam et al. 10.3390/rs13050935
- Applications of quantitative thermal infrared hyperspectral imaging (8–14 μm): measuring volcanic SO2 mass flux and determining plume transport velocity using a single sensor A. Gabrieli et al. 10.1007/s00445-019-1305-x
- Volcano video data characterized and classified using computer vision and machine learning algorithms A. Witsil & J. Johnson 10.1016/j.gsf.2020.01.016
- Evidence of boron-rich aqueous and crystalline phases associated with fumarolic emissions at Guallatiri volcano, northern Chile M. Inostroza et al. 10.1016/j.jvolgeores.2021.107270
- Quantification of ash sedimentation dynamics through depolarisation imaging with AshCam B. Esse et al. 10.1038/s41598-018-34110-6
- First Measurements of Gas Flux with a Low-Cost Smartphone Sensor-Based UV Camera on the Volcanoes of Northern Chile F. Aguilera et al. 10.3390/rs12132122
- Determining the three-dimensional structure of a volcanic plume using Unoccupied Aerial System (UAS) imagery A. Albadra et al. 10.1016/j.jvolgeores.2019.106731
- GIS-based volcanic hazards, vulnerability and risks assessment of the Guallatiri Volcano, Arica y Parinacota Region, Chile M. Reyes-Hardy et al. 10.1016/j.jsames.2021.103262
- Quantifying BrO and SO2 distributions in volcanic plumes—Recent advances in imaging Fabry-Pérot interferometer correlation spectroscopy A. Nies et al. 10.3389/feart.2023.1063922
- Can statistics of turbulent tracer dispersion be inferred from camera observations of SO<sub>2</sub> in the ultraviolet? A modelling study A. Kylling et al. 10.5194/amt-13-3303-2020
- A Spectra Classification Methodology of Hyperspectral Infrared Images for Near Real-Time Estimation of the SO2 Emission Flux from Mount Etna with LARA Radiative Transfer Retrieval Model C. Segonne et al. 10.3390/rs12244107
3 citations as recorded by crossref.
- Ground-Based Remote Sensing and Imaging of Volcanic Gases and Quantitative Determination of Multi-Species Emission Fluxes U. Platt et al. 10.3390/geosciences8020044
- Pyplis–A Python Software Toolbox for the Analysis of SO2 Camera Images for Emission Rate Retrievals from Point Sources J. Gliß et al. 10.3390/geosciences7040134
- Ground-Based Remote Sensing of Volcanic CO2 Fluxes at Solfatara (Italy)—Direct Versus Inverse Bayesian Retrieval M. Queißer et al. 10.3390/rs10010125
Discussed (final revised paper)
Latest update: 23 Apr 2024
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)...
