C. Watson, J. Elliott, S. Ebmeier, J. Biggs, F. Albino, S. Brown, Helen Burns, A. Hooper, M. Lazecký, Y. Maghsoudi, R. Rigby, T. Wright
{"title":"Strategies for improving the communication of satellite-derived InSAR data for geohazards through the analysis of Twitter and online data portals","authors":"C. Watson, J. Elliott, S. Ebmeier, J. Biggs, F. Albino, S. Brown, Helen Burns, A. Hooper, M. Lazecký, Y. Maghsoudi, R. Rigby, T. Wright","doi":"10.5194/gc-6-75-2023","DOIUrl":null,"url":null,"abstract":"Abstract. Satellite-based earth observation sensors are increasingly able to monitor\ngeophysical signals related to natural hazards, and many groups are working\non rapid data acquisition, processing, and dissemination to data users with\na wide range of expertise and goals. A particular challenge in the\nmeaningful dissemination of Interferometric Synthetic Aperture Radar (InSAR)\ndata to non-expert users is its unique differential data structure and\nsometimes low signal-to-noise ratio. In this study, we evaluate the online\ndissemination of ground deformation measurements from InSAR through Twitter,\nalongside the provision of open-access InSAR data from the Centre for\nObservation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET)\nLooking Into Continents from Space with Synthetic Aperture Radar (LiCSAR)\nprocessing system. Our aim is to evaluate (1) who interacts with\ndisseminated InSAR data, (2) how the data are used, and (3) to discuss\nstrategies for meaningful communication and dissemination of open InSAR\ndata. We found that the InSAR Twitter community was primarily composed of\nnon-scientists (62 %), although this grouping included earth observation\nexperts in applications such as commercial industries. Twitter activity was\nprimarily associated with natural hazard response, specifically following\nearthquakes and volcanic activity, where users disseminated InSAR\nmeasurements of ground deformation, often using wrapped and unwrapped\ninterferograms. For earthquake events, Sentinel-1 data were acquired,\nprocessed, and tweeted within 4.7±2.8 d (the shortest was 1 d).\nOpen-access Sentinel-1 data dominated the InSAR tweets and were applied to\nvolcanic and earthquake events in the most engaged-with (retweeted) content.\nOpen-access InSAR data provided by LiCSAR were widely accessed, including\nautomatically processed and tweeted interferograms and interactive event\npages revealing ground deformation following earthquake events. The further\nwork required to integrate dissemination of InSAR data into longer-term\ndisaster risk-reduction strategies is highly specific, to both hazard type and\ninternational community of practice, as well as to local political setting and civil\nprotection mandates. Notably, communication of uncertainties and processing\nmethodologies are still lacking. We conclude by outlining the future\ndirection of COMET LiCSAR products to maximize their useability.\n","PeriodicalId":52877,"journal":{"name":"Geoscience Communication","volume":"39 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscience Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/gc-6-75-2023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
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 the InSAR Twitter community was primarily composed of
non-scientists (62 %), although this grouping included earth observation
experts in applications such as commercial industries. Twitter activity was
primarily associated with natural hazard response, specifically following
earthquakes and volcanic activity, where users disseminated InSAR
measurements of ground deformation, often using wrapped and unwrapped
interferograms. For earthquake events, Sentinel-1 data were acquired,
processed, and tweeted within 4.7±2.8 d (the shortest was 1 d).
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 were 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, to both hazard type and
international community of practice, as well as to 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 maximize their useability.