Hydromet Hazards Theme Services

It operates over a time window around a user-defined flood event start date and provides results as classified GeoTIFF files showing flooded, non-flooded, and permanent water bodies. The service is developed by CIMA Foundation and WASDI.

The service is initiated when a user defines an Area of Interest (AOI) and the start date of the flood. A default observation period is automatically applied, but can be adjusted. The service retrieves pre- and post-event Sentinel-1 images with the same geometry and Sentinel-2 images for the post-event phase. Additionally, land use/land cover and water body maps for the same area are extracted. Synthetic Aperture Radar (SAR) and optical flood extent detection algorithms are then applied to all identified satellite imagery.

The output includes flood extent maps per observation date, with a maximum extent map computed as their cumulative result. These maps are generated at a spatial resolution of 20 metres. This is a one-off service designed to estimate flood extent for a specific event, using EO data acquired before and after the event. It is open source and primarily intended for flood monitoring, prevention, and risk assessment. It further serves as input for flood depth estimation. Execution is on-demand.

Inputs include Copernicus Sentinel-1 Ground Range Detected (GRD) and Sentinel-2 L2A data, with third-party data from ESA WorldCover and the Copernicus DEM. Outputs consist of SAR-based, optical-based, and combined (maximum extent) flood extent maps.

It is co-developed by CIMA Foundation and Indra with Terradue. Users specify an Area of Interest and flood start date, triggering an automatic retrieval of matching pre- and post-event Copernicus Sentinel-1 images. The system also extracts land use/land cover and water body data and applies a SAR-based flood extent detection algorithm. Each resulting flood extent map is delivered in classified format.

Like the previous service, this service provides high-resolution 20-metre maps in a one-time execution. As an open source resource, it is designed for both real-time and preventative flood analysis while feeding into flood depth estimations.

Inputs include Copernicus Sentinel-1 GRD, along with ESA WorldCover and Copernicus Digital Elevetion Model (DEM) data. The output is a set of SAR-based flood extent maps. Execution is on-demand.

It processes SAR and optical Copernicus Sentinel data to generate daily flood extent maps for each available acquisition, from which it computes how often each pixel was flooded.

The output includes daily SAR and optical flood maps, a flood count map, EO data count map, and an empirical frequency map. The maps are generated at 20-metre resolution. Though called “daily,” the outputs are dependent on the availability of the data.

This one-off historical analysis is open source and helps stakeholders better understand flood hazard patterns for risk assessments. Inputs include Copernicus Sentinel-1 and Sentinel-2 data as well as third-party inputs such as ESA WorldCover and Copernicus DEM. Execution is on-demand.

It mirrors the structure of the previous service but is limited to SAR input. Output products include daily SAR flood maps, a flood count map, and an empirical frequency map. The service is open source, with 20-metre resolution outputs and on-demand execution.

Developed by LIST and CIMA Foundation with WASDI, it adjusts the model outputs using satellite-derived frequency insights. It also excludes non-floodable areas to improve accuracy and is designed to remain effective across different spatial resolutions.

The resulting product is a set of improved hazard maps, primarily benefiting high-frequency, low-return period scenarios. Spatial resolution is determined by the GloFAS inputs (90 metres). The service is one-off, open source, and executed on-demand. Inputs include Copernicus Sentinel-1, ESA WorldCover, Global Surface Water, and GloFAS data.

It also merges flood frequency maps and GloFAS hazard data to produce improved hazard maps. It is open source, has 90-metre resolution, and is executed on-demand.

It uses the Height Above Nearest Drainage (HAND) derived from the Copernicus Digital Elevation Model (DEM) as an ancillary layer. The core algorithm employs dynamic windowing for localised calculations.

Users must input a flood extent map either externally or generated via the Flood Extent Mapping service. The output resolution depends on the input map, but is typically 20 metres if derived from the internal service. The output is a GeoTIFF showing water depth in decimetres.

This is a one-time, open-source service useful during and after flooding events for risk assessment and impact analysis when combined with vulnerability data. Execution is on-demand.

Inputs and outputs remain the same: a flood extent map is used as input, and the resulting water depth map is delivered as a GeoTIFF. It is open source, with execution on-demand.

It measures changes in sigma nought and coherence to identify urban damage or flood impact. The service supports different disaster types, including earthquakes and floods, with tailored processing parameters for each.

Users define the event time, hazard type, and AOI. Inputs include event and reference Copernicus Sentinel-1 image pairs. Outputs include a built-up area mask and a change detection map, both provided in actionable raster formats. The service is open source and executed on-demand.