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#delftfews — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #delftfews, aggregated by home.social.

  1. 💧🌏 Greg Cocks @gregcocks

    Analysing Operational Aspects Of River Ice Monitoring With Earth Observation For Flood Early Warning In Canada
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    doi.org/10.1144/gh2025-18 <-- shared paper
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    phys.org/news/2014-04-river-ic <-- shared technical article
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    gwf.usask.ca/impc/science/rese <-- shared technical article
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    H/T @arjen Haag | Sr. Researcher / consultant bij Deltares (Operational Water Management & Early Warning)
    “[The authors] assess operational and spatiotemporal constraints in the use of satellite data (specifically the Radarsat Constellation Mission; RCM) for the purpose of river ice monitoring and ice jam early warning, applied over three Canadian provinces with operational platforms. The main take-away is simple and obvious, but can never be stressed enough: know the expected latency of any data you (or other users) rely on, optimize retrieval and processing based on this and align it with operational use…”
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    “River ice jams are a major contributor to flood risk in cold regions. Satellite remote sensing (i.e. Earth observation) is used across Canada to provide timely information on the status of river ice. Methods and algorithms to classify various stages of river ice from the Radarsat Constellation Mission (RCM) are available, but the operational implementation of these, especially the integration into larger flood forecasting and early warning systems, requires specific expertise, software and computational resources. [The authors] describe the setup designed and employed operationally for the relevant agencies of Alberta, the Northwest Territories and the Yukon in Canada, as well as a framework to analyse various factors relevant for operational monitoring purposes. This includes the spatiotemporal coverage of the data and the timeliness (latency) with which these become available, critical elements in the support of decision-making relating to floods. This analysis reveals that while most images have a relatively low latency, often well below the 2 h threshold expected for images relating to disaster management purposes, there is also a large variation across time and space, with images also exceeding this threshold. This should be considered in the design and operations of monitoring systems, to ensure all relevant imagery is included…”

    @Canadian Space Agency | @natural Resources Canada (NRCan) | @NRCan Science

    #delftfews #water #hydrography #cryosphere #ice #icejam
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