The Danish Agency for Climate Data is developing Denmark's Digital Twin. It is a digital 3D model of Denmark created using a variety of data. It can provide authorities with a lot of the knowledge needed to support their climate adaptation efforts.
Denmark's Digital Twin contains a wide range of basic data with information about roads and buildings. It also shows elevations in the landscape, which is an important factor when authorities need to handle water and potential floods. However, the most crucial aspect is that Denmark's Digital Twin becomes a visual tool.
A freely accessible model with development potential
The vision for Denmark's Digital Twin is that it should be a publicly available 3D model that can be made available to everyone freely. It can therefore be used in many different contexts by municipalities, regions, governmental institutions and companies.
In the long term, the vision is to further develop the model and add more information. It will be possible to link other information to the model. This includes information about whether buildings are used for housing, for business or as nursing homes, or whether buildings have basements, which can be important for assessing the consequences of floods. This information can greatly support prioritisation and decisions regarding climate adaptation.
Try the prototype today
Most of the data that will initially constitute Denmark's Digital Twin is provided free of charge for all to use. The model is built upon data from the GeoDenmark cooperation with objects such as buildings, bridges, wind turbines, masts, lampposts and high-voltage power lines.
Heights used for the model is derived from the Danish Elevation Model, and both orthophotos and oblique photos are used to provide photorealistic visualisations.
These are all data that the Agency for Climate DataThe Danish Agency for Climate Data already makes freely available, and you can therefore already see a prototype of Denmark's Digital Twin on The Danish Agency for Climate Data Labs.
The Danish Agency for Climate Data expects to launch a basic model sometime in 2025, which can be developed or used for many different applications - including climate adaptation and flood forecasting.