COMET_VolcDB: COMET Volcanic and Magmatic Deformation Portal (2021 beta release)

Rigby, Richard; Burns, Helen; Watson, C. Scott; Lázecký, Milan; Ebmeier, S. K.; Morishita, Yu; Mehrani, Yasser Maghsoudi; Elliott, John R.; Wright, T. J.

doi:10.5281/zenodo.4545877

Cited by 1 publication

(1 citation statement)

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“…To address these issues, we have designed a set of online tools (COMET Volcanic and Magmatic Deformation Portal (https://comet.nerc.ac.uk/comet-volcano-portal/)) to allow observatory scientists to critically interrogate automatically 230 generated Sentinel-1 interferograms and identify deformation around active volcanoes (Rigby et al, 2021). The volcano portal provides access to interferograms and time series (Lazecký et al, 2020;Morishita et al, 2020) for an initial subset of volcanoes where processing is most complete, with the aim of eventually including all subaerial Holocene volcanoes.…”

Section: Automated Processing and Small Filesmentioning

confidence: 99%

Strategies for improving the communication of satellite-derived InSAR ground displacements

Watson

Elliott²,

Ebmeier³

et al. 2022

Preprint

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Abstract. Satellite-based earth observation sensors are increasingly able to monitor geophysical signals related to natural hazards, and many groups are working on rapid data acquisition, processing, and dissemination to data users with a wide range of expertise and goals. A particular challenge in the meaningful dissemination of Interferometric Synthetic Aperture Radar (InSAR) data to non-expert users is its unique differential data structure and sometimes low signal to noise ratio. In this study, we evaluate the online dissemination of ground deformation measurements from InSAR through Twitter, alongside the provision of open access InSAR data from the Centre for Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET) Looking Into Continents from Space with Synthetic Aperture Radar (LiCSAR) processing system. Our aim is to evaluate (1) who interacts with disseminated InSAR data, (2) how the data are used and (3) to discuss strategies for meaningful communication and dissemination of open InSAR data. We found that InSAR Twitter activity was primarily associated with natural hazard response, specifically following earthquakes and volcanic activity, where InSAR measurements of ground deformation were disseminated, often using wrapped and unwrapped interferograms. For earthquake events, Sentinel-1 data were acquired, processed, and tweeted within 4.7±2.8 days (shortest was one day). Open access Sentinel-1 data dominated the InSAR tweets and were applied to volcanic and earthquake events in the most engaged with (retweeted) content. Open access InSAR data provided by LiCSAR was widely accessed, including automatically processed and tweeted interferograms and interactive event pages revealing ground deformation following earthquake events. The further work required to integrate dissemination of InSAR data into longer-term disaster risk reduction strategies is highly specific, both to hazard-type, international community of practice, and local political setting and civil protection mandates. Notably, communication of uncertainties and processing methodologies are still lacking. We conclude by outlining the future direction of COMET LiCSAR products to maximise their useability.

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Section: Automated Processing and Small Filesmentioning

confidence: 99%