Source Info

What data does Cetopo provide?

Terrain, Roads, Buildings, Properties, Orthophotos and more!


The most important data available on Cetopo is arguably the terrain data. It provides unprecedented coverage, ease of use, and accuracy. The data is sourced from the excellent Elevation Model 2m by the NLS (National Land Survey). As the name implies, the Elevation model 2m offers a world class 2x2 meter grid accuracy.

The Elevation model 2m data-set covers almost all of Finland. Some areas are yet to be measured. Approximately 40.000 km² of data is added to it each year according to the NLS. Some of this is new areas, and some is an update to old areas.

For up to date information about technical details, please visit the NLS page.

Accuracy considerations

A 2x2m grid is dense enough to accurately capture all major terrain features such as hills, roads, fields and lakes. It also shows smaller features like mounds, paths, ditches and cliffs with decent accuracy. Any features smaller than the grid, such as rocks, crevaces and small pits, have a risk of not showing in the data. Steep gradients, such as cliffs, are smoothed out by the grid. For example, a vertical drop of 5m might show as a 70° slope instead.

Urban areas

The Elevation model describes the terrain. All buildings and structures like bridges have been removed from the laser scanned data. The model is not as strong in urban areas, where small vertical discontinuities like platforms, elevated sidewalks and terraces are common. Such details will be smoothed out in the data.

Elevation model 2m availability in Cetopo (06.10.2019)
Saana tunturi. Cetopo vs Reality. Note the small shadows visible in bot images. We can see small errors at the steepest slopes. This is due to the data resolution (2x2m).


Cetopo sources its roads from the Digiroad data-set by Väylä. Digiroad contains information about road widths and names, although this data is not yet perfect.


Please visit the digiroad page for more information about technical details. Roads are digitized as a set of discrete points, and is thus limited in accuracy where sharp turns are precent. The given road widths are the width of the drive-way. The physical road (like the asphalted surface) is usually wider than the drive-way.


Road elevation is based on the terrain data. This provides accurate interpolation of elevation data between the digiroad data points.

Road elevation is interpolated for better adherence to terrain. (Here in ArchiCAD)
Here we can see some roads of different width, as well as the finite accuracy in the roundabout.



Cetopo sources its building data from the Topographic Database data-set by the NLS. Building data includes shape and id, with elevation data extrapolated from the Elavation model.


Building elevation is based on the terrain data.


Please visit the NLS page for more information about technical details. Buildings are digitized with various methods depending on location. Accuracy varies from very accurate (in cities for example), to fairly poor, (remote cottages in dense forest). Building height is currently for visualization purposes only, and is only a guess. This is likely to improve in the near future! Contact us for more information.

Southern Lauttasaari, with lots of buildings. Cetopo can provide a visualization 'guess' of the building height. (here in ArchiCAD)

Cadastral data


Cetopo sources its cadastral data from the Cadastral Index data-set by the NLS. Cadastral data includes cadastral ID and boundary and boundary markers. The ID is commonly known as kiinteistötunnus in Finnish, with the markers being called rajamerkki/rajapyykki.

Property Markers

Properties are bounded by various physical markers, which the digital property boundaries attempt to match. Cetopo also provides access to data on the actual markers in addition to the digital boundaries. Marker data includes type, accuracy (of the digital location), id, and more. Property marker data is available using original Finnish/Swedish terms, since translating them does not make sense.


Cetopo provides two-way lookup of cadastral data. You can either search by ID to receive the boundary, or you can search by location to receive the ID(s). To do the former, simply type the ID in the search bar in the map view. To do the latter, simply click on the location where you think the property is.

A .dxf file displaying property boundaries and IDs in pink, and property markers at the corners in dark pink.



Cetopo sources its orthophotos from the NLS Orthophotos data-set by the NLS. Orthophotos are currently limited to 2x2km²


The Orthophotos are currently available with 0.5m resolution. This is often inferior in cities to what you can see in Google Maps and similar services. The NLS Orthophoto is however superior in large portions of Finland.

NLS orthophoto, superior in many places.
Google Maps orthophoto, superior in other places.

About Cetopo

The french word for building is immeuble, from the Latin immōbilis, meaning is unmovable. This immobility of buildings is central to Cetopo, which aims to improve how architecture and location play together. Buildings are always built somewhere.


I started Cetopo as a side-project in late 2015, but it became a webservice like you see today only later, in 2017. Being free to use for students really helped iron out major issues in the beginning, to pave way for the first commercial customers in mid 2018. Cetopo has produced about 15000 files covering almost 5000km² of land for its users since then, with almost 700km² produced during the past 30 days (09.10.2019).


Being a one-person company (for now) comes with some benefits. When you call support, you get sales, development, and the manager on the phone at the same time! Jokes aside, this enables me to fix critical bugs as soon as you call (provided you call during business hours). Cetopo also constantly evolves with new features. Have something in mind that you would like to see in Cetopo? Maybe I can fix that!

Br. Max Cedercreutz
Founder of Cetopo
+358 40 481 0114