Parametric analysis of lava dome-collapse events and pyroclastic deposits at Shiveluch volcano, Kamchatka, using visible and infrared satellite data

Krippner, Janine; Belousov, Alexander; Belousova, Marina; Ramsey, Michael S.

doi:10.1016/j.jvolgeores.2018.01.027

Cited by 12 publications

(13 citation statements)

References 46 publications

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“…To understand the growth processes and hazards associated with lava domes, critical data such as lava viscosity, dome morphology, growth rate, strain and strain rates, or surface temperature are required. Remote sensing observations on the growth patterns, commonly made by optical 10 , radar [10][11][12][13] , and thermal 10,14,15 satellite sensors as well as ground-based 12,16,17 or aerial 2,18,19 photogrammetry, can reveal the morphology, size and growth rate of lava domes as well as indicate the direction of growth and most likely the hazards 19 . Similarly, insight on lava properties, such as viscosity, can provide valuable information on the hazard state, as they can control the explosive behaviour of a lava dome 8 .…”

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confidence: 99%

UAS-based tracking of the Santiaguito Lava Dome, Guatemala

Zorn

Walter

Johnson

et al. 2020

Sci Rep

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Imaging growing lava domes has remained a great challenge in volcanology due to their inaccessibility and the severe hazard of collapse or explosion. changes in surface movement, temperature, or lava viscosity are considered crucial data for hazard assessments at active lava domes and thus valuable study targets. Here, we present results from a series of repeated survey flights with both optical and thermal cameras at the caliente lava dome, part of the Santiaguito complex at Santa Maria volcano, Guatemala, using an Unoccupied Aircraft System (UAS) to create topography data and orthophotos of the lava dome. This enabled us to track pixel-offsets and delineate the 2D displacement field, strain components, extrusion rate, and apparent lava viscosity. We find that the lava dome displays motions on two separate timescales, (i) slow radial expansion and growth of the dome and (ii) a narrow and fastmoving lava extrusion. Both processes also produced distinctive fracture sets detectable with surface motion, and high strain zones associated with thermal anomalies. our results highlight that motion patterns at lava domes control the structural and thermal architecture, and different timescales should be considered to better characterize surface motions during dome growth to improve the assessment of volcanic hazards.

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confidence: 99%

UAS-based tracking of the Santiaguito Lava Dome, Guatemala

Zorn

Walter

Johnson

et al. 2020

Sci Rep

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“…The latter is twice as long as the most abundant pyroclastic ow generated in the 1995 Unzen eruption (Nakada et al 1999); however, it corresponds to the medium size among the recent pyroclastic ows in Sheveluch. The pyroclastic ow that occurred in October 2010 traveled 19 km downslope (Krippner et al 2018).…”

Section: Results For 2018-2019 Sheveluch Activitymentioning

confidence: 99%

“…At Young Sheveluch, eight large-scale collapses occurred due to lava dome growth and the last collapse was in 1964 (Belousov et al 1999). Recent activity has also been characterized by smaller-scale lava dome growth and the occurrence of pyroclastic ows associated with its collapse (Krippner et al 2018). In this study, we examined the activities from December 2018 to December 2019.…”

Section: -2019 Sheveluch Activity -Lava Dome Growth and Generatiomentioning

confidence: 99%

A new infrared volcano monitoring using GCOM-C (SHIKISAI) satellite: Applications to the Asia-Pacific region

Kaneko

Yasuda

Takasaki

et al. 2020

Preprint

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The GCOM-C (SHIKISAI) satellite was developed to understand the mechanisms of global climate change. The Second-generation Global Imager (SGLI) onboard GCOM-C is an optical sensor observing wavelengths from 380 nm to 12.0 μm in 19 bands. One of the notable features is that the resolution of the 1.63-, 10.8-, and 12.0-µm bands is 250 m, with an observation frequency of 2-3 days. To investigate the effective use and potential of the 250-m resolution of these SGLI bands in the study of eruptive activities, we analyzed four practical cases. As an example of large-scale effusive activity, we studied the 2018 Kilauea eruption. By analyzing the series of 10.8-μm band images using cumulative thermal anomaly maps, we could observe that the lava effused on the lower East Rift Zone, initially flowed down the southern slope to the sea, and then moved eastward. As an example of lava dome growth and generation of associated pyroclastic flows, the activity at Sheveluch between December 2018 and December 2019 was analyzed. The 1.63- and 10.8-µm bands were shown to be suitable for observing growth of the lava dome and occurrence of pyroclastic flows, respectively. We found that the pyroclastic flows occurred during periods of rapid lava dome expansion. For the study of an active crater lake, the activity of Ijen during 2019 was analyzed. The lake temperature was found to rise rapidly in mid-May and reach 38 °C in mid-June. We also analyzed the intermittent activities of small-scale Vulcanian eruptions at Sakurajima in 2019. The 1.63-µm band was useful for detecting activities that are associated with Vulcanian eruptions. Analytical results for these case studies demonstrated that the GCOM-C SGLI images are beneficial for observing various aspects of volcanic activity, and their real-time use may contribute to reducing eruption-related disasters.

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“…The latter is twice as long as the most abundant pyroclastic flow generated in the 1995 Unzen eruption (Nakada et al 1999); however, it corresponds to the medium size among the recent pyroclastic flows in Sheveluch. The pyroclastic flow that occurred in October 2010 traveled 19 km downslope (Krippner et al 2018). The lava dome shows thermal anomalies in both the 1.63-µm and 10.8-µm images, but pyroclastic flow is visible only in the 10.8-µm images and is not captured in the 1.63-µm images except for a few pixels at the tip of the flow (Fig.…”

Section: Generation and Distribution Of Pyroclastic Flowsmentioning

confidence: 99%

GCOM-C (SHIKISAI) Second-generation Global Imager infrared observation of active volcanoes: Case studies from the Asia-Pacific region

Kaneko¹,

Yasuda²,

Takasaki³

et al. 2020

Preprint

View full text Add to dashboard Cite

The GCOM-C (SHIKISAI) satellite was developed to understand the mechanisms of global climate change. The Second-generation Global Imager (SGLI) onboard GCOM-C is an optical sensor observing wavelengths from 380 nm to 12.0 µm in 19 bands. One of the notable features is that the resolution of the 1.63-, 10.8-, and 12.0-µm bands is 250 m, with an observation frequency of 2–3 days. To investigate the effective use and potential of the 250-m resolution of these SGLI bands in the study of eruptive activities, we analyzed four practical cases. As an example of large-scale effusive activity, we studied the 2018 Kilauea eruption. By analyzing the series of 10.8-µm band images using cumulative thermal anomaly maps, we could observe that the lava effused on the lower East Rift Zone, initially flowed down the southern slope to the sea, and then moved eastward. As an example of lava dome growth and generation of associated pyroclastic flows, the activity at Sheveluch between December 2018 and December 2019 was analyzed. The 1.63- and 10.8-µm bands were shown to be suitable for observing growth of the lava dome and occurrence of pyroclastic flows, respectively. We found that the pyroclastic flows occurred during periods of rapid lava dome expansion. For the study of an active crater lake, the activity of Ijen during 2019 was analyzed. The lake temperature was found to rise rapidly in mid-May and reach 38 °C in mid-June. We also analyzed the intermittent activities of small-scale Vulcanian eruptions at Sakurajima in 2019. The 1.63-µm band was useful for detecting activities that are associated with Vulcanian eruptions. Analytical results for these case studies demonstrated that the GCOM-C SGLI images are beneficial for observing various aspects of volcanic activity, and their real-time use may contribute to reducing eruption-related disasters.

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Parametric analysis of lava dome-collapse events and pyroclastic deposits at Shiveluch volcano, Kamchatka, using visible and infrared satellite data

Cited by 12 publications

References 46 publications

UAS-based tracking of the Santiaguito Lava Dome, Guatemala

UAS-based tracking of the Santiaguito Lava Dome, Guatemala

A new infrared volcano monitoring using GCOM-C (SHIKISAI) satellite: Applications to the Asia-Pacific region

GCOM-C (SHIKISAI) Second-generation Global Imager infrared observation of active volcanoes: Case studies from the Asia-Pacific region

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