Neural Networks to Handle Maps: Rosreestr to Start Using AI Technologies for Space Data Acquisition

Rosreestr is launching a project for the first time to automatically update maps using satellites and artificial intelligence, TASS reported, citing the agency. The technology will analyze satellite images and independently detect changes in the terrain.

The first meeting of the interdepartmental working group has already taken place, chaired by Deputy Head of the agency Maxim Smirnov. It included representatives from Rosreestr, Roscosmos, PPK "Roskadastr", and major IT companies working with AI technologies. The project is being implemented according to the roadmap signed at the Russian Space Forum in April 2026.

Currently, updating cartographic materials is a process with a high degree of manual labor. The introduction of automated remote sensing monitoring using artificial intelligence will significantly increase productivity and allow for more efficient use of budget funds.

In essence, Rosreestr is transitioning to an assembly-line scheme for updating spatial data, where the satellite acts as a scanner, and AI acts as a decoder, instantly recording the appearance of new roads, buildings, and other terrain changes.

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