Poland GIS data

uav imagery by WebODM, acquired 2025-07-31 to 2025-07-31, 0.8 cm per pixel, published on OpenAerialMap.

uav imagery by PW, acquired 2026-06-13 to 2026-06-14, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by Jakub, acquired 2026-01-16 to 2026-01-17, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Aleksander Gołaszewski, acquired 2026-06-19 to 2026-06-19, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Aleksander Gołaszewski, acquired 2026-06-24 to 2026-06-24, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Aleksander Gołaszewski, acquired 2026-07-09 to 2026-07-09, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Aleksander Gołaszewski, acquired 2026-07-14 to 2026-07-14, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Ziemowit Zabawa, acquired 2026-08-08 to 2026-08-08, 2.0 cm per pixel, published on OpenAerialMap.

uav imagery by Aleksander Gołaszewski, acquired 2026-08-24 to 2026-08-24, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Aleksander Gołaszewski, acquired 2026-08-27 to 2026-08-27, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Tomasz Nycz, acquired 2025-03-25 to 2025-03-25, 5.0 cm per pixel, published on OpenAerialMap.

satellite imagery by pwdrony.pl, acquired 2025-04-05 to 2025-04-05, 20.4 cm per pixel, published on OpenAerialMap.

uav imagery by BB, acquired 2025-09-29 to 2025-09-30, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by cb711, acquired 2026-09-19 to 2026-09-19, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by McKeyPL, acquired 2026-08-13 to 2026-08-13, 2.0 cm per pixel, published on OpenAerialMap.

uav imagery by Aleksander Gołaszewski, acquired 2026-06-30 to 2026-06-30, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Ziemowit Zabawa, acquired 2026-08-08 to 2026-08-08, 2.0 cm per pixel, published on OpenAerialMap.

uav imagery by Aleksander Gołaszewski, acquired 2026-06-22 to 2026-06-22, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Aleksander Gołaszewski, acquired 2026-06-17 to 2026-06-17, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Aleksander Gołaszewski, acquired 2026-06-18 to 2026-06-18, 5.0 cm per pixel, published on OpenAerialMap.

geoBoundaries ADM1 boundaries for Poland: 16 units, representing 2017. Source: OpenStreetMap, Wambacher. Open Data Commons Open Database License 1.0

uav imagery by Aleksander Gołaszewski, acquired 2026-08-27 to 2026-08-27, 5.0 cm per pixel, published on OpenAerialMap.

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

The International Best Track Archive for Climate Stewardship (IBTrACS) project is the most complete global collection of tropical cyclones available. It merges recent and historical tropical cyclone data from multiple agencies to create a unified, publicly available, best-track dataset that improves inter-agency comparisons. Fields available: SID: A unique storm identifier (SID) assigned by IBTrACS algorithm. ISO_TIME: Time of the observation in ISO format (YYYY-MM-DD hh:mm:ss) BASIN: Basin of the current storm position SUBBASIN: Sub-basin of the current storm position NATURE: Type of storm (a combination of the various types from the available sources) NUMBER: Number of the storm for the year (restarts at 1 for each year LAT: Mean position - latitude (a combination of the available positions) LON: Mean position - longitude (a combination of the available positions) WMO_WIND: Maximum sustained wind speed assigned by the responsible WMO agency WMO_PRES: Minimum central pressure assigned by the responsible WMO agency.

Poland administrative level 0-2 boundaries (COD-AB) dataset version 01. This dataset is structured into 2 levels: - Admin 1: 16 - Admin 2: 380 Dates associated with this dataset: - 18 December 2024: dataset reviewed for accuracy and completeness - 14 April 2022: valid for use by the humanitarian community - 19 April 2022: last edit to the dataset before publishing - 19 April 2022: boundaries created by the source Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries

This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long

Sea ports, harbours and ferry terminals. Useful for maritime logistics, supply-chain analysis, and coastal access planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: industrial=port, harbour, port, amenity=ferry_terminal, building=ferry_terminal - Part of the country exports on HDX by HOT

Water features across the area: rivers, streams, canals, lakes, ponds, and water bodies tagged with `waterway`, `water`, or `natural=water`. Useful for flood-risk modelling, watershed analysis, and environmental basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: waterway, water, natural - Part of the country exports on HDX by HOT

Railway lines and stations tagged `railway=*`: rail lines, tram tracks, and stations. Useful for transport accessibility analysis and basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: railway - Part of the country exports on HDX by HOT

Cultural and historic places: museums, galleries, theatres, places of worship, monuments, and historic sites tagged via `tourism`, `amenity`, `historic`, or `heritage`. Useful for heritage protection, cultural mapping, and tourism context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: tourism, amenity, historic, heritage - Part of the country exports on HDX by HOT

Health facilities: hospitals, clinics, pharmacies, doctors, and dentists tagged via `amenity` or `healthcare`. Useful for service-access analysis, emergency response, and healthcare gap mapping. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, healthcare - Part of the country exports on HDX by HOT

Settlements and residential areas: named cities, towns, villages, suburbs, and residential land (`place=*` and `landuse=residential`). Useful for demographic context, settlement-level targeting, and population analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: place, landuse - Part of the country exports on HDX by HOT

Airports and aviation infrastructure: airports, heliports, helipads, runways, terminals, and emergency landing sites tagged via `aeroway`, `building`, or `emergency`. Useful for logistics, evacuation routing, and aerial-response planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: aeroway, building, emergency - Part of the country exports on HDX by HOT

Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT

Points of interest: public-facing amenities, shops, tourist attractions, and landmarks tagged via `amenity`, `shop`, `tourism`, or `man_made`. Useful for general POI reference, urban analysis, and basemap detail. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, shop, tourism, man_made - Part of the country exports on HDX by HOT

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT