Voronezh region: maps and data

Daily updated vector map that includes 30 data categories: administrative boundaries, road network, building, water features, points of interest, city infrastructure and more. Basemap is built on OpenStreetMap database using special processing.

Digital elevation model extracted for a specific area. Geographically referenced regular raster at 30m resolution, elevation contours (topography) with given step and an elevation hillshade image.

Building and construction footprints extracted using AI from high resolution remote sensing data. The most current results from Microsoft and Google models and buildings from Basemap.

Road centerlines extracted using AI from high resolution remote sensing data. The most current results from Microsoft models and road network from Basemap.

Vector map from Overture Map Foundation includes over 10 data categories: boundaries, road network, buildings, water features, city infrastructure, land use and land cover types. Overture data is an alternative to Basemap. Features unique data sources from Microsoft, Amazon, TomTom and other companies.

The ESRI Land Cover, ESA WorldCover, and Dynamic World datasets are high-resolution global maps that classify land cover into general types (water surfaces, forest cover, built-up areas, and others) with a detail of up to 10 meters.

Places (points of interest, POI) for business analytics and geospatial analysis: names, addresses, and object categories. Can be used to assess locations, analyze service density, study competitive environments, and support geomarketing strategies. Sources: Foursquare, OpenStreetMap and Overture.

Seamless coverage of the most actual Sentinel-2 satellite data for your area. We filter out clouds, snow cover and perform color balancing of all images to get a continuously smooth mosaic for your area.

Data on appartment blocks: number of inhabitants, apartments, types of buildings, management companies and more. Data is joined with building footprints from Basemap.

Geographic boundaries and main information on protected areas of Russia from “OOPT Rossii” information system. Besides boundaries, dataset includes name, level, category and status of each protected area.

Boundaries and key information on subsoil use plots and subsoil license areas from the registry of the Rosgeolfond.

Data on Cultural Heritage from Wikimedia Foundation Sources. The dataset contains attributes such as name, address, category, and other parameters. Provided in a suitable format with a ready-to-go GIS project file.