Finland GIS data

Yleiskuvaus Tämä Feature Service sisältää tielinkkeihin liittyviä ajantasaisia tieverkon kohteita, jotka on ladattu Digiroad-aineistosta. Aineisto kuvaa tieverkon linkkejä ja niiden ominaisuuksia sekä tukee tieverkon sijainnin, hallinnollisen luokan, toiminnallisen luokan ja geometrisen rakenteen tarkastelua. Sisältö Tielinkkien ominaisuudet: tiedot linkin tunnisteesta, tiehen liittyvistä luokitteluista, ajosuunnasta, sillan tai alikulun tiedosta sekä tiennimistä. Sijainti- ja geometria-aineisto: tietoa linkin alku- ja loppupaaluista, sijainnin ja korkeuden tarkkuudesta, geometrian lähteestä sekä pituudesta. Päivitystiedot: aineistossa on päivitysajankohtaa kuvaava tieto, jonka avulla ajantasaisuutta voidaan seurata. Käyttötarkoitus Aineisto soveltuu tieverkon tarkasteluun, liikenne- ja logistiikka-analyysien taustaksi sekä paikkatietopohjaiseen tieverkkojen hallintaan ja visualisointiin. Päivitysajankohta näkyy kentässä “ladattu”.

Väyläviraston Digiroadin WFS rajapinnasta FME:llä tuodut ajantasaiset pääkatujen nimet Vaasassa. Aineistoa päivitetään säännöllisesti Digiroadista FME ajolla.

uav imagery by WebODM, acquired 2025-03-30 to 2025-03-30, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2025-07-09 to 2025-07-09, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Matias, acquired 2026-01-28 to 2026-01-28, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Matias, acquired 2026-02-19 to 2026-02-19, 5.0 cm per pixel, published on OpenAerialMap.

geoBoundaries ADM3 boundaries for Finland: 313 units, representing 2017. Source: OpenStreetMap, Wambacher. Open Data Commons Open Database License 1.0

geoBoundaries ADM0 boundaries for Finland: 1 units, representing 2017. Source: OpenStreetMap, Wambacher. Open Data Commons Open Database License 1.0

uav imagery by Matias, acquired 2026-02-24 to 2026-02-24, 1.7 cm per pixel, published on OpenAerialMap.

uav imagery by Eetu Forssell, acquired 2026-10-01 to 2026-10-02, 10.0 cm per pixel, published on OpenAerialMap.

uav imagery by Eetu Forssell, acquired 2026-09-17 to 2026-09-18, 10.0 cm per pixel, published on OpenAerialMap.

YleiskuvausTämä aineisto sisältää Digiroadista poimittuja pääkatujen nimeämistietoja. Kohteina ovat katujaksoihin liittyvät viivamaiset tie- ja katuosuudet, joille on tallennettu nimimuotoja suomeksi ja ruotsiksi sekä tieto aineiston latausajankohdasta. SisältöKatusimien tiedot suomalaisina ja ruotsalaisina nimimuotoina. Päivitetty lähdeaineisto, jossa latausajankohta on tallennettu kohteille. Viivamaiset kohteet, jotka kuvaavat katuosuuksien sijaintia ja pituutta. KäyttötarkoitusKatujen nimien tarkastelu ja hakeminen kartalla. Paikannukseen ja osoitetietojen tukemiseen liittyvät GIS-sovellukset. Kaupunkialueiden katuverkon nimeämistiedon hyödyntäminen suunnittelussa ja kartoituksessa. Aineistolähde ja käyttöoikeusLähde on Digiroad, Väyläviraston ylläpitämä tie- ja katuverkon aineisto. Aineistoa saa käyttää CC BY 4.0 -lisenssin mukaisesti.

geoBoundaries ADM2 boundaries for Finland: 70 units, representing 2016. Source: OpenStreetMap, Wambacher. Open Data Commons Open Database License 1.0

geoBoundaries ADM1 boundaries for Finland: 19 units, representing 2017. Source: OpenStreetMap, Wambacher. Open Data Commons Open Database License 1.0

uav imagery by Matias, acquired 2026-01-28 to 2026-01-29, 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.

VERSION 1.5. The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Finland: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

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

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

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

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

Road network across the area tagged `highway=*`: motorways, residential streets, service roads, footways, and trails. Useful for routing, accessibility analysis, and evacuation 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: highway - 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

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

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

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban 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: building - 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

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

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

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

Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is a biophysical dimensionless quantity (its values range from 0/no absorption to 1/total absorption) used to assess the greenness and health of vegetation. FAPAR anomalies can be used as an indicator to detect and monitor the impacts of agricultural drought on the growth and productivity of vegetation. The data is presented in 10-day time composite of the Visible Infrared Imaging Radiometer Suite (VIIRS).

uav imagery by Jari Lehmonen, acquired 2026-03-21 to 2026-03-22, 5.0 cm per pixel, published on OpenAerialMap.

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Finland Seutukunnat Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from Finnish Environment Institute (Syke), National Land Survey of Finland, Statistics Finland, PAAVO. These were published in March 2024. Other administrative boundaries for this country are also available: Country Suuralueet Postcodes1 Maakunnat Postcodes2 Kunnat Postcodes4 Postcodes5

uav imagery by Eetu Forssell, acquired 2026-09-17 to 2026-09-18, 10.0 cm per pixel, published on OpenAerialMap.

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Finland Postcodes1 Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from Finnish Environment Institute (Syke), National Land Survey of Finland, Statistics Finland, PAAVO. These were published in March 2024. Other administrative boundaries for this country are also available: Country Suuralueet Maakunnat Seutukunnat Postcodes2 Kunnat Postcodes4 Postcodes5