Below you will find pages that utilize the taxonomy term “SKIM”
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From AI Outputs to Searchable Knowledge
The role of SKIM in DaFab system architecture
Introduction: Turning a Copernicus data scale archive into something you can search
Copernicus has grown into an archive where the limiting factor is rarely the availability of pixels, but the ability to find the right ones. To do so, users still have to start from copernicus product descriptors (e.g. Sentinel-2 tile, date, processing level, etc…) and only later test whether the data contains the signal of interest. DaFab system addresses this gap by generating secondary, AI‑derived metadata at scale and exposing it as a discovery surface, so that users can begin with a thematic question instead of beginning with file selection (e.g. “How many agriculture parcels are there ?” in smart-agriculture thematic and “Where can I find water anomalies ?” for water-analysis one).