Danish KU Forest Heights

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Introduction

Example of Danish Forest - Canopy Height Data 2014-2015 in windPRO – Wind turbines near Klosterheden Plantation, Denmark. Background image: Danish Orthophoto Mosaic: 2018
The Danish University of Copenhagen (Københavns Universitet, KU) - Department of Geosciences and Natural Resource Management — is developing and maintaining a Danish National Forest Inventory map. Latest update was made in 2017 with data sources originating from 2014-2015. The map is generated from national aerial laser-scans along with associated modelling to describe the relation between laser-scans and actual recordings from a number of test areas. Processed forest inventory data is made available at a 25m grid resolution.

Data Applicability and Availability within windPRO

The forest height data are used as input for the dedicated sub-models in windPRO which takes into account the forest impact on the wind flow. This is the displacement height calculator and the Objective Roughness Approach (ORA) tool. Both forest models are available from windPRO 3.2+. The forest data is accessed from the online-services from the ‘elevation grid object’ with data-type set to ‘Heights above terrain (a.g.l) for elements’.

Technical Details

  • Dataformat: GeoTiff
  • Coordinate System: UTM - Zone 32
  • Pixel values: Canopy height 2014-2015 (m)
  • Spatial Resolution in windPRO: Horizontal: 25m

License

The map is in the public domain. The Danish University of Copenhagen (Københavns Universitet, KU) - Department of Geosciences and Natural Resource Management has made the data available free of charge. We recommend using the following attribution when using the data:

Source: 
Forest height data from the Danish University of Copenhagen - Department of Geosciences and Natural Resource Management.
Processing and distribution through EMD and windPRO. 

External Links

  • The Danish University of Copenhagen (Københavns Universitet, KU) - Department of Geosciences and Natural Resource Management - here
  • Mapping of Danish forest resource using ALS from 2014-2015 by Thomas Nord-Larsen, Torben Riis-Nielsen, Mathias Bo Ottosen (pdf-file here).