Flood extent

Commercial per-event CONUS flood-data product. Floodbase licenses daily event footprints showing flood location, extent, and vendor-described severity while an event develops, then delivers an event-summary dataset with maximum observed flooding and a daily time series. Buyers can purchase an available event on demand; files are delivered through ArcGIS Online, secure cloud storage, or an agreed integration. Internally generated hourly footprints are delivered as daily event data under the current offer.

Global commercial flood-event data product combining SAR observations, auxiliary data, algorithms, and machine learning. It publishes frequently updated event extent and post-peak maximum flood extent and depth at building level. Customers can browse and download deliverables in the ICEYE Solutions Suite Event Intelligence Hub, query deliverables through the ISS API, or receive the same product through partner integrations. This is observed/model-assisted event data, not a probabilistic hazard map.

Distinct commercial rapid-response product that uses ICEYE SAR observations and machine learning to publish event floodwater-extent snapshots within approximately 6–12 hours of first signs and update them every 6–12 hours during the event. It is delivered through the ICEYE Solutions Suite Event Intelligence Hub. ICEYE explicitly distinguishes it from Flood Insights, which supplies maximum extent and depth after peak.

Commercial standing event-response catalogue of selected major flood footprints. JBA monitors global conditions and publishes event commentary, reports, and footprints; documented footprint files are available through its Client Portal or by request to its event-response address. The Storm Henk example contains modelled event extent and depth derived from JBA hazard maps, so this Source must not be described as direct satellite-observed inundation.

Commercial standing flood forecasting and monitoring platform for buyer-specified property points and wider polygons. It continuously reruns hydrodynamic models, displays forecast time and depth in a dashboard, issues alerts, and exposes continuously updated point, polygon, and mapping feeds through an API for integration into customer risk-management systems. Optional connected sensors add observed local water-level telemetry; modelled forecasts and sensor readings must not be conflated.