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Swedish SLU Forest Map – Tree Heights Now Available Directly in windPRO

Forest height data for Sweden derived from the SLU Forest Map of Sweden is now available as an online data service for users of windPRO 3.2. If you are working at forested sites, you can use these forest height data as input for the dedicated forest models – that is within the displacement height calculator […]

Norwegian Elevation Models – Now Available Directly in windPRO

The national digital elevation models for Norway – released by the Norwegian ‘Kartverket’ – are now available as a part of the online data service for users of windPRO 3.2. In windPRO you can access the digital elevation model (DTM10) – as well as the digital surface model (DOM10). The data is available in a […]

Saxony-Anhalt High Quality DTMs – 5m and 20m – Now in windPRO

Two high-quality digital terrain models (DTM’s) in 5m and 20m resolution covering the German state of Saxony-Anhalt have now been added to the online-services of windPRO 3.4. These elevation models are derived from a higher resolution model (2m grid-resolution), recently released from the Landesamtes für Vermessung und Geoinformation Sachsen-Anhalt (LVermGeo). Source data originates from years […]

Danish KU Forest Inventory – Tree Heights Now Available Directly in windPRO

A map of the forest heights for Denmark – derived from a dataset developed by the Danish University of Copenhagen – Department of Geosciences and Natural Resource Management – is now available as an online data service for users of windPRO 3.3+. If you are working at forested sites in Denmark, then you can use […]

Brandenburg High Quality DTM’s – 5m and 20m – Now in windPRO

Two high-quality digital elevation models (DTM’s) in 5m and 20m resolution and covering the German state of Brandenburg have now been added to the online-services of windPRO 3.3. These elevation models are adapted versions of higher resolution models obtained by aerial surveys with data source from Landesvermessung und Geobasisinformation Brandenburg (LGB). Read more at our […]

Latvian Geodata Package – Now Available in windPRO

Now windPRO users developing wind farms in Latvia have easy access to a comprehensive package with very high-resolution Latvian national geodata. The data is available through the online-data services in windPRO 3.3+ and includes national elevation model (20m resolution) and forest height data (5m resolution, currently with spatial coverage of about half of Latvia). Topographic […]

Full Finnish Geodata Package – Now Available in windPRO

windPRO users developing wind farms in Finland are now able to access a comprehensive package with very high-resolution Finnish national geodata. The data is easily reached through the online-data services in windPRO 3.2+. Available data includes full Finnish coverage of: The national elevation model (10m resolution), forest height data (16m resolution) and existing wind turbine […]

In Deep Water?

On request from windPRO users working on offshore wind farm developments around the globe, the online-data services in windPRO 3.2+ now offers two bathymetry models: One with Pan-European coverage and grid resolution 230m; the other with global coverage and at a coarser 1km grid-resolution. Water depth data are accessed from the elevation-grid object – with […]

Working with Offshore-Wind and windPRO in European Waters?

We have updated the windPRO online-data services with the newest version of the “EMODnet Digital Bathymetry (DTM)”. This dataset is a combination of many surveys that cover the water depths for Europe’s sea basins. The 2022-release is a revised version of the 2020, 2018 and 2016 datasets – with more surveys included (21937 in total […]

Introducing SARAH-3: High-Performance Solar Irradiation Data for Your SOLAR-PV Calculations in windPRO and energyPRO

SARAH-3 is a climate data record from EUMETSAT CM SAF that provides high-resolution solar irradiation data for Europe and Africa. It is replacing SARAH-2 which is no longer being updated forward in time. Our online-data team has assessed this dataset: Compared to in-situ data and reference data, both SARAH datasets show a reliable and stable performance, […]