NFS

The National Focal System (NFS) is an industrial research and experimental development project co-funded by the Italian Space Agency (ASI) and engineered to bridge the operational gap between civil protection end-users and the complex Earth Observation (EO) satellite data ecosystem. At its core, the project establishes a centralized, automated middleware matrix that streamlines the entire satellite data supply chain, seamlessly connecting the distinct entities required to generate actionable intelligence during crises. When a civil protection unit requests real-time data to track emergencies like wildfires, floods, or earthquakes, the system automatically coordinates between raw EO data providers supplying satellite imagery from constellations like COSMO-SkyMed or Copernicus Sentinel, image processing nodes that perform essential calibrations, and specialized phenomenon experts who apply niche scientific modeling to output hazard forecasts.

A primary strength of this infrastructure is its multi-dimensional interoperability, which breaks traditional operational silos across both territorial and thematic lines. The system operates under a jurisdiction-agnostic registry that enables a civil protection unit in one region to instantly discover and utilize processing algorithms or data repositories located in an entirely different part of the country without requiring custom cross-agency API configurations or complex legal agreements. Furthermore, the technical framework is completely data-agnostic, treating pipeline data flows uniformly whether computing analytics for hydrogeological events like landslides, seismic activities like ground deformation, or anthropogenic disasters like marine oil spills.

The definitive technological breakthrough of the National Focal System is its structural migration away from traditional workflows that require users to download, store, and manually process massive files. By building the entire ecosystem on Open Geospatial Consortium (OGC) standards, the project introduces an innovative remote, on-demand Web Processing Service (WPS) architecture. This setup containerizes heavy geospatial algorithms and exposes them as secure web services, allowing complex computations to occur entirely on remote servers rather than on local field devices.

When a ground operator interacts with the platform, they simply use a lightweight, web-based dashboard client to draw a bounding box around an area of interest and select a requested analytical product. The central engine then triggers the distributed WPS instances assigned to that specific hazard, fetches the raw satellite imagery, passes it through the required image processing steps, runs the specialized risk models remotely, and streams a lightweight, fully rendered visualization layer back to the field terminal in near real-time using WMS or WFS standards. This approach accelerates hazard assessment times from days to hours, optimizes computational resources by establishing a shared library of interoperable tools, and democratizes advanced space assets by putting highly complex radar and hyperspectral data directly into the hands of emergency commanders who lack formal training in remote sensing.

FadeOut Software role

FadeOut Software supported NFS through analysis, design and development activities: gathering civil protection requirements, mapping EO data workflows and OGC interoperability needs, designing the standards-based service architecture, and implementing core orchestration and integration modules for remote, on-demand WPS processing services.