Strategies for improving the communication of satellite-derived InSAR data for geohazards through the analysis of Twitter and online data portals

Q2 Social Sciences Geoscience Communication Pub Date : 2023-06-05 DOI:10.5194/gc-6-75-2023
C. Watson, J. Elliott, S. Ebmeier, J. Biggs, F. Albino, S. Brown, Helen Burns, A. Hooper, M. Lazecký, Y. Maghsoudi, R. Rigby, T. Wright
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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.
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通过对推特和在线数据门户网站的分析,改进从卫星获取的InSAR地质灾害数据的传播战略
摘要基于卫星的地球观测传感器越来越能够监测与自然灾害有关的地球物理信号,许多团体正在致力于快速数据采集、处理和传播给具有广泛专业知识和目标的数据用户。干涉合成孔径雷达(InSAR)数据向非专业用户有意义传播的一个特殊挑战是其独特的差分数据结构和有时较低的信噪比。在本研究中,我们通过Twitter评估了InSAR地面变形测量的在线传播,同时提供了来自地震、火山和构造观测和建模中心(COMET)的开放获取InSAR数据,该中心使用合成孔径雷达(LiCSAR)处理系统从太空观察大陆。我们的目的是评估(1)谁与传播的InSAR数据进行交互,(2)如何使用数据,以及(3)讨论开放InSAR数据的有意义的沟通和传播策略。我们发现,InSAR Twitter社区主要由非科学家(62%)组成,尽管这一群体包括商业行业等应用领域的地球观测专家。Twitter活动主要与自然灾害反应有关,特别是在地震和火山活动之后,用户传播insar测量的地面变形,通常使用包裹和未包裹的干涉图。对于地震事件,Sentinel-1数据的采集、处理和推特时间为4.7±2.8 d(最短1 d)。开放获取的Sentinel-1数据主导了InSAR推文,并应用于最受关注(转发)内容的火山和地震事件。LiCSAR提供的开放获取InSAR数据被广泛获取,包括自动处理和推特干涉图以及显示地震事件后地面变形的交互式事件页面。将InSAR数据的传播纳入长期减少灾害风险战略所需的进一步工作是高度具体的,既针对灾害类型,也针对国际实践社会,也针对当地政治环境和民事保护任务。值得注意的是,不确定性和处理方法的交流仍然缺乏。最后,我们概述了COMET LiCSAR产品的未来方向,以最大限度地提高其可用性。
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来源期刊
Geoscience Communication
Geoscience Communication Social Sciences-Communication
CiteScore
3.30
自引率
0.00%
发文量
26
审稿时长
20 weeks
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