Links
iLevel 3 signals
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Peer-rev. / open source
Peer-reviewed NWM-CNN flood method (Frame et al., GRL 2024): 780 training events, 250 m.
Floodbase
Floodbase (formerly Cloud to Street) provides satellite-based flood monitoring and powers parametric flood insurance, fusing 35-plus years of satellite imagery, hydrological models and near-real-time observations to map flood extent globally. It underpins index-based insurance products and flood intelligence for re/insurers, brokers, the public sector and corporates, delivering event detection, historical baselines and exposure analytics. Distinctive for addressing historically hard-to-insure flood risk through satellite-derived parametric triggers — a specialist bridging Earth observation and risk transfer rather than a scenario-based physical-risk model.
Vendor methodology
Public transparency, not model quality iThe Transparency Score (0–3) estimates public methodological transparency: the degree to which the vendor's analytical approach to modeling climate and nature risk can be assessed from publicly available sources. It is explicitly not a measure of vendor quality or accuracy.
Methodology-relevant: vendor websites or external resources explain methodological details.
Methodology-relevant: peer-reviewed publications document the approach reconstructably — the NWM-CNN inundation method (Frame et al., Geophysical Research Letters 2024: 780 training events, 250 m, RMSE 4.58%) and the Nature 2021 satellite flood-tracking science, plus the public Cloud-to-Street global flood dataset and 17 named satellite sources. Core CNN proprietary, so 2 rather than 3.
Contact us to point out or add relevant source or references.
Links
iPeer-rev. / open source
Peer-reviewed NWM-CNN flood method (Frame et al., GRL 2024): 780 training events, 250 m.