One of our landmark datasets is a high-resolution, satellite-derived vector model of Moscow — designed to be among the most comprehensive urban digital twins available, transforming raw imagery into a richly structured map of the city's infrastructure and assets.
A 10-metre foundation
Built on high-fidelity 10-metre satellite imagery, the dataset strikes an ideal balance between wide-area coverage and detailed feature identification — the right baseline for analysing a vast, complex city as a whole.
A multi-layered vector model
Our analysts extracted and classified a complete suite of vector features, building the city up in layers — points for assets, polygons for surfaces, and a full hierarchy of line networks for transportation and utilities, from motorways and trunk roads down through primary, secondary and tertiary streets.
Dense, attributed vectors like these underpin planning, logistics, telecoms and analytics — a single authoritative basemap for the whole city.
