A countrywide and up-to-date 3D Registration of Buildings and Addresses (BAG)



The 3D BAG is an up-to-date data set containing 3D building models of the Netherlands. The 3D BAG is open data. It contains 3D models at multiple levels of detail, which are generated by combining two open data sets: the building data from the BAG and the height data from the AHN. The 3D BAG is updated regularly, keeping it up-to-date with the latest openly available building stock and elevation information.

The 3D BAG is also a place for experiments. It is a medium for testing ideas as we do in the 3D geoinformation research group. Based on experiences with the data, we are constantly improving our methods, and by providing our own service we retain full control over the whole process from input data, pre-processing and reconstruction to querying and using the reconstructed 3D data in urban applications. This allows us to develop, test and release improvements, or even break things, as we see best.

Data and 3D viewer

Visit the website of the data set: 3dbag.nl

Main features

Common applications

Some of the use cases for this data set that we know about:

Relation to similar data sets

3D Basisvoorziening

The 3D Basisvoorziening is a collection of Dutch national 3D data sets created in a collaboration of the Kadaster and the 3D geoinformation research group. It was made available in the summer of 2020. While the 3D BAG only contains objects from the BAG, the 3D Basisvoorziening also contains object from the Large Scale Topographic Map (BGT) of the Netherlands. Thus, the 3D BAG only contains buildings, while the 3D Basisvoorziening is a watertight 3D model of the whole country, including terrain objects. Furthermore, the 3D BAG only uses the AHN as height source, while the 3D Basisvoorziening also uses a yearly updated point cloud created from stereo images (Beeldmateriaal Nederland).

The tools and algorithms that are used for generating the 3D Basisvoorziening, are created by the 3D geoinformation group. In fact, the LoD1.3 models in the 3D Basisvoorziening were generated with a previous, more stable version of the same algorithms that we use in the 3D BAG. Since then, we have improved the reconstruction process specifically for a better LoD2.2 reconstruction.

3D Noise

The 3D Noise data set was created in collaboration with the National Institute for Public Health and the Environment (RIVM), Ministry of Infrastructure and Water Management (Rijkswaterstaat), Interprovinciaal Overleg, Kadaster and the 3D geoinformation research group.

Both the 3D Geluid and the 3D BAG use the BAG as a basis for the buildings. While the 3D BAG uses the AHN only, the 3D Geluid data has been extended with LoD1.2 models that were generated with the current point cloud of Kadaster where the buildings are newer than AHN.

Besides building models, the 3D Geluid data also contains two additional layers that model the height of the terrain, and the sound absorption values of the various terrain objects. The building models in 3D Geluid data are LoD1.3 and represented as 2D only, since the current common noise calculation software can only handle 2D buildings (+ height attribute).

Similarly to the 3D Basisvoorziening, the LoD1.3 models in the 3D Geluid data were generated with a previous, more stable version of the same algorithms that we use in the 3D BAG.


Funding

ERC logo

This project has received funding from the European Research Council (ERC) under the European Unions Horizon2020 Research & Innovation Programme (grant agreement no. 677312 UMnD: Urban modelling in higher dimensions).


Team

Balázs  Dukai photo

Balázs Dukai
Developer

| |

Jordi van Liempt photo

Jordi van Liempt
Developer

|

Ravi  Peters photo

Ravi Peters
Developer

|

Jantien  Stoter photo

Jantien Stoter
Professor

| | |

Stelios  Vitalis photo

Stelios Vitalis
Developer

| |