The 2017 Eruption of Erta 'Ale Volcano, Ethiopia: Insights Into the Shallow Axial Plumbing System of an Incipient Mid‐Ocean Ridge

Moore, Chris; Wright, Tim; Hooper, Andrew; Biggs, Juliet

doi:10.1029/2019gc008692

Cited by 36 publications

(63 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The loss of coherence (black) in the central area is an indication of the fresh lava flow emplaced during the 2017 Erta Ale eruption. The production of time series of coherence is useful for tracking flow propagation (e.g., lava initially flows to the Northeast before flowing to the Southwest on June 2017) and to derive the cumulative flow area [72]. In addition, coherence products can be used to map the emplacement of new volcanic products during an eruption ( Figure 13).…”

Section: Use Of Basic Interferometric Products For Volcanic Studiesmentioning

confidence: 99%

“…For example, temporal decorrelation of glacier surfaces leads to a loss of coherence that can prominently reveal the extent InSAR time series derived from LiCSAR products have already been successfully used to better understand the dynamics of magmatic systems during the 2017 eruptions at Mt. Agung (Indonesia) [26] and Erta Ale (Ethiopia) [72].…”

Section: Licsar For Other Applicationsmentioning

confidence: 99%

See 1 more Smart Citation

LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity

Spaans²,

et al. 2020

Self Cite

View full text Add to dashboard Cite

Space-borne Synthetic Aperture Radar (SAR) Interferometry (InSAR) is now a key geophysical tool for surface deformation studies. The European Commission’s Sentinel-1 Constellation began acquiring data systematically in late 2014. The data, which are free and open access, have global coverage at moderate resolution with a 6 or 12-day revisit, enabling researchers to investigate large-scale surface deformation systematically through time. However, full exploitation of the potential of Sentinel-1 requires specific processing approaches as well as the efficient use of modern computing and data storage facilities. Here we present Looking Into Continents from Space with Synthetic Aperture Radar (LiCSAR), an operational system built for large-scale interferometric processing of Sentinel-1 data. LiCSAR is designed to automatically produce geocoded wrapped and unwrapped interferograms and coherence estimates, for large regions, at 0.001° resolution (WGS-84 coordinate system). The products are continuously updated at a frequency depending on prioritised regions (monthly, weekly or live update strategy). The products are open and freely accessible and downloadable through an online portal. We describe the algorithms, processing, and storage solutions implemented in LiCSAR, and show several case studies that use LiCSAR products to measure tectonic and volcanic deformation. We aim to accelerate the uptake of InSAR data by researchers as well as non-expert users by mass producing interferograms and derived products.

show abstract

Section: Use Of Basic Interferometric Products For Volcanic Studiesmentioning

confidence: 99%

Section: Licsar For Other Applicationsmentioning

confidence: 99%

LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity

Spaans²,

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…The production of time series of coherence is useful for tracking flow propagation (e.g. lava initially flows to the NE before flowing to the SW on June 2017) and to derive cumulative flow area [69].…”

Section: Use Of Basic Interferometric Products For Volcanic Studiesmentioning

confidence: 99%

“…InSAR time series derived from LiCSAR products have already been successfully used to better understanding the dynamics of magmatic systems during the 2017 eruptions at Mt. Agung (Indonesia) [26] and Erta Ale (Ethiopia) [69]. InSAR time series derived from LiCSAR products showing (a) the LOS velocity map generated for the Campi Flegrei area (frame ID 022D_04826_121209) and (b) the displacement timeseries for point A, centered on the caldera, with respect to the reference area located~20 km north of the caldera.…”

Section: Value-added Licsar-based Products For Volcanic Studiesmentioning

confidence: 99%

LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity

Lázecký¹

2020

Preprint

View full text Add to dashboard Cite

Space-borne Synthetic Aperture Radar (SAR) Interferometry (InSAR) is now a key geophysical tool for surface deformation studies. The European Commission’s Sentinel-1 Constellation began acquiring data systematically in late 2014. The data, which are free and open access, have global coverage at moderate resolution with a 6 or 12-day revisit, enabling researchers to investigate large-scale surface deformation systematically through time. However, full exploitation of the potential of Sentinel-1 requires specific processing approaches as well as the efficient use of modern computing and data storage facilities. Here we present LiCSAR, an operational system built for large-scale interferometric processing of Sentinel-1 data. LiCSAR is designed to automatically produce geocoded wrapped and unwrapped interferograms and coherence estimates, for large regions, at 0.001° resolution (WGS-84 system). The products are continuously updated in a frequency depending on prioritised regions (monthly, weekly or live update strategy). The products are open and freely accessible and downloadable through an online portal. We describe the algorithms, processing, and storage solutions implemented in LiCSAR, and show several case studies that use LiCSAR products to measure tectonic and volcanic deformation. We aim to accelerate the uptake of InSAR data by researchers as well as non-expert users by mass producing interferograms and derived products.

show abstract

“…Lava-lake cases are represented by Erta Ale and Masaya volcanoes, as shown in Figure 9a-h. Erta Ale volcano is well-known for its long-lived lava-lake activity hosted within one (or two) summit pit-crater(s) [71]. However, since January 2017, a large flank eruption (still ongoing at the time of this writing), has produced lava flows, with an estimated area of at least 26 km 2 , in June 2019 [72]. Considering the drastic change in the eruptive style, the consistency between MIROVA and S2 thermal signals is remarkable both in terms of recorded intensity and trends (Figure 9a).…”

Section: Sentinel-2 and Modis-mirova Timeseries Comparisonmentioning

confidence: 99%

Volcanic Hot-Spot Detection Using SENTINEL-2: A Comparison with MODIS–MIROVA Thermal Data Series

et al. 2020

View full text Add to dashboard Cite

In the satellite thermal remote sensing, the new generation of sensors with high-spatial resolution SWIR data open the door to an improved constraining of thermal phenomena related to volcanic processes, with strong implications for monitoring applications. In this paper, we describe a new hot-spot detection algorithm developed for SENTINEL-2/MSI data that combines spectral indices on the SWIR bands 8a-11-12 (with a 20-meter resolution) with a spatial and statistical analysis on clusters of alerted pixels. The algorithm is able to detect hot-spot-contaminated pixels (S2Pix) in a wide range of environments and for several types of volcanic activities, showing high accuracy performances of about 1% and 94% in averaged omission and commission rates, respectively, underlining a strong reliability on a global scale. The S2-derived thermal trends, retrieved at eight key-case volcanoes, are then compared with the Volcanic Radiative Power (VRP) derived from MODIS (Moderate Resolution Imaging Spectroradiometer) and processed by the MIROVA (Middle InfraRed Observation of Volcanic Activity) system during an almost four-year-long period, January 2016 to October 2019. The presented data indicate an overall excellent correlation between the two thermal signals, enhancing the higher sensitivity of SENTINEL-2 to detect subtle, low-temperature thermal signals. Moreover, for each case we explore the specific relationship between S2Pix and VRP showing how different volcanic processes (i.e., lava flows, domes, lakes and open-vent activity) produce a distinct pattern in terms of size and intensity of the thermal anomaly. These promising results indicate how the algorithm here presented could be applicable for volcanic monitoring purposes and integrated into operational systems. Moreover, the combination of high-resolution (S2/MSI) and moderate-resolution (MODIS) thermal timeseries constitutes a breakthrough for future multi-sensor hot-spot detection systems, with increased monitoring capabilities that are useful for communities which interact with active volcanoes.

show abstract

The 2017 Eruption of Erta 'Ale Volcano, Ethiopia: Insights Into the Shallow Axial Plumbing System of an Incipient Mid‐Ocean Ridge

Abstract: The final stage of continental breakup is often accompanied by abundant magmatism. Erta

Cited by 36 publications

References 71 publications

LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity

LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity

LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity

Volcanic Hot-Spot Detection Using SENTINEL-2: A Comparison with MODIS–MIROVA Thermal Data Series

Contact Info

Product

Resources

About