Info

One Pagers

These one pagers will help you get started with Cetopo. Check out the one called 'Design Process' for a quick overview of how Cetopo can be used in all parts of the architectural design process!

General

Cetopo 101
Design Process

ArchiCAD

201: ArchiCAD
202: ArchiCAD

General

201: Revit
202: Revit

Videos

Here are some brief tutorials about Cetopo. They should give you an idea of what Cetopo is capable of. Enable fullscreen or watch them on YouTube for ideal viewing experience! These videos have sound.

Playlist

Getting started (3 minutes!)
Selections
Templates
ArchiCAD + Plugin
Revit Tutorial Coming Soon
Sketchup Tutorial Coming Soon

Terrain

The most important data available on Cetopo is arguably the terrain data. It is used in almost all things that can be downloaded from Cetopo. In addition to the terrain model itself, it also provides elevation data for buildings, roads, trees, etc.

Finland

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 dataset covers almost all of Finland. For up to date information about technical details, please refer to 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, are unlikely to show 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.

Local datasets

Cetopo also uses local datasets provided by municipalities, where they are available and of greater quality than the national KM2. The Helsinki region is covered by a 4x more detailed 1x1 meter grid provided by Helsinki. This 1x1m grid greatly improves accuracy, especially in urban areas and steep gradients.

Sweden

The data is sourced from the excellent Terrain Model, grid 1+ by Lantmäteriet. As the name implies, the Terrain Model, grid 1+ offers an astonishing 1x1 meter grid density.

The Terrain Model, grid 1+ dataset covers almost all of Sweden. For up to date information about technical details, please refer to Lantmäteriet.

Accuracy considerations

A 1x1m 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 good accuracy. Any features smaller than the grid, such as rocks, crevaces and small pits, are unlikely to show 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 80° slope instead.

Urban areas

The Elevation model describes the terrain. 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, and most of the terrain is hidden by buildings.

Terrain data availability in Cetopo (12.96.2021)

Roads

Finland

Cetopo sources its roads from the Digiroad dataset by Väylä. Digiroad contains information about road widths and names.

Accuracy

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 present. The given road widths are the width of the drive-way.

Elevation

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

Sweden

Cetopo sources its roads from the Fastighetskartan dataset by Lantmäteriet. The dataset contains information about road widths, names and geometry.

Accuracy

Please visit Fastighetskartan 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 present.

Elevation

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

Here we can see some roads of different width.

Buildings

General

Existing buildings often determine the environment for new construction. Cetopo provides detailed 2D & 3D-buildings to help anchor the new building into its place.

Finland

Accuracy

Please refer to the NLS 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 estimated from the laser-points data, and is quite accurate in most cases. The municipal datasets, where available, offer much improved accuracy for many buildings.

Models

Cetopo produces the only LOD2-dataset that covers all of Finland. The LOD2-buildings provide unprecedented clarity and ease of use to modelling existing buildings. The LOD2 model is computed from the laser scanning dataset, and is very accurate in general. LOD2 is still an experimental feature, and does not work for 100% of buildings. The remaining buildings are provided as accurate 3D-meshes, or where no data is available, as boxes.

Attributes

The PRT-ID ("Pysyvä RakennusTunnus") is provided for all buildings that have it. Municipal datasets may provide additional information where available, such as RATU, FACTA-ID, and building type.

Sweden

The buildings data is sourced from several datasets:

Data Dataset Source
Building footprint Fastighetskartan Lantmäteriet
Building elevation Terrain Model, grid 1+ Lantmäteriet
Building 3D-shape Laser Data Skog Lantmäteriet
Building 3D-shape Laser Data NH Lantmäteriet

Accuracy

Please visit the Lantmäteriet pages 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 estimated from the laser-points data, and is very accurate in most cases.

Models

Cetopo produces the only LOD2-dataset that covers all of Sweden. The LOD2-buildings provide unprecedented clarity and ease of use to modelling existing buildings. The LOD2 model is computed from the laser scanning dataset, and is very accurate in general. LOD2 is still an experimental feature, and does not work for 100% of buildings. The remaining buildings are provided as accurate 3D-meshes, or where no data is available, as boxes.

The harbour promenade in Hanko. Rönö island in Kuopio. A factory in Iisalmi.

Cadastral data

Finland

Cetopo sources its cadastral data from the Cadastral Index dataset 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.

Lookup

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.

Cadastral data. Boundaries in red, IDs with white/black text, and markers with red circles.

Sweden

Cetopo sources its cadastral data from the Fastighetskartan dataset by Lantmäteriet. Cadastral data includes cadastral ID and boundary and boundary markers.

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.

Lookup

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.

Cadastral data. Boundaries in red, IDs with white/black text, and markers with red circles.

Forests

Trees are a central feature of the Nordic landscape, and are thus extremely important in visualizations. They are also a requirement for accurate sunlight-simulations and visibility checks.

Finland

Forest data provided by Cetopo includes forest shape, estimations of individual tree positions and sizes, as well as a rough estimation of species. Cetopo sources its forest data from:

Accuracy

The 3D-shape of forested regions is very accurately portrayed by the data. The point density of the data used is about 0.5 points per m2, which sets an upper bound on the shape-accuracy of the resulting data. Individual tree positions can be quite accurate in optimal conditions, but should be taken more as a representation of the forest volume. The MVMI species data is intended for forests, and is thus not very accurate in park-like environments. It has a resolution of 16 meters. Distribution of species in a forest is well estimated.

Trees are color coded, drab: pine, dark: spruce, greens: birch/other leaf.

Sweden

Forest data provided by Cetopo includes forest shape, estimations of individual tree positions and sizes. Cetopo sources its forest data from:

Accuracy

The 3D-shape of forested regions is very accurately portrayed by the data. The point density of the data used is about 0.5-1 points per m2, which sets an upper bound on the shape-accuracy of the resulting data. Individual tree positions can be quite accurate in optimal conditions, but should be taken more as a representation of the forest volume.

Individual trees estimated in this rural area.

Orthophotos

Orthophotos greatly improve the realism of any visualization. Using orthophotos as terrain textures brings otherwise dull flat terrains to life with bushes, ditches, road markings, cars, boats, fences and other features clearly visible.

Finland

Cetopo sources its orthophotos from the NLS Orthophotos dataset by the NLS.

The Orthophotos are currently available with 0.5 m 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.

Sweden

Cetopo sources its orthophotos from the Orthophoto dataset by Lantmäteriet.

The Orthophotos are currently available with an incredible 16 cm resolution in most of the country, with resolutions 40 cm and 50 cm where 16 cm is not available. The 16 cm orthophotos are extremely detailed, and offer unprecedented realism.

16 cm orthophoto as a texture on the terrain model. The terrain gives the picture a better 3D feel than just the orthophoto.

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.

Mission

We think that experts should not have to spend time doing menial manual work due to outdated or incompatible dataformats. Experts should do what they do best, like design buildings if they are Architects, but currently many hours are wasted on conversions and workarounds. That is why Cetopo aims to provide you the data that you want, in the format that you prefer. If this means the latest BIM compatible 3D-landscapes, then that is what we provide, but if you prefer to stay 2D, then you will find that our support for those is just as good as for 3D.

Development

Cetopo is constantly being developed to better server your workflows, many of our features are quite recent, and developed at request from our customers. For example:

  • 3D-buildings: 2020
  • 3D-roads: 2020
  • Helsinki Terrain: 2020
  • 3D-forests: 2020
  • Orthophoto textures: May 2021
  • Tree Categories: May 2021
  • Sweden: June 2021

So if you have some Cetopo-feature in mind that you think would be usefull, then please don't hesitate to contact us with it! Cetopo currently covers Finland and Sweden, but we intend to expand wherever the necessary condition, great data, is met.

Max.webp
Max Cedercreutz

+358 40 481 0114
max@cetopo.com
Founder, Dev

Tuomas.webp
Tuomas Hyytiä

+358 40 832 6484
tuomas@cetopo.com
Co-Founder, Sales