Latvian Elevation Model

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Coverage of Latvian DTM. Credits: Elevation data: Geospatial Information Agency of Latvia 05/2019
Latvian DTM at Wind Farm at Grobina, Latvia


The Latvian elevation model in 20m grid resolution is a digital terrain model produced by the Geospatial Information Agency of Latvia (Latvijas Ģeotelpiskās Informācijas Aģentūras). The model was derived from LiDAR scans and stereo-orthophotos. Spatial coverage is for the whole of Latvia. The data available in windPRO was accessed during early 2019 – and holds data with source-date 2017.

Dataset Overview

  • Spatial Coverage: Lativa
  • Resolution: 20 m
  • Data-type: Digital Terrain Model (DTM)
  • Coordinate system: Raw data was delivered as ERSI gridded files – with coordinate-system data embedded (Transverse Mercator with central median 24 degree longitude).
  • Version: Source data is from 2017.
  • Vertical Accuracy: N/A

Availability from within windPRO

The data are available directly from within windPRO in 20-meter resolution. The data can be accessed from the online-services in the following objects:

  • Line Object (with purpose to height contour lines)
  • Elevation Grid Object

License and Attribution

The product belongs to the open data of the Geospatial Information Agency of Latvia. The data have no specific open-data license attached – however these are released with the following open-data principles: free, online, machine-readable-formats. Read more about the policy here: “Publiskās pārvaldes datu pieejamība atvērtā veidā ir viens no e-pārvaldes politikas pamatprincipiem 2014–2020 gada attīstības plānošanas periodā”.

Link to pdf’s printed from the Latvian web-page and unofficial English translation of the conditions are available from these links <in latvian> and <in english>.

Contains elevation data from the Geospatial Information Agency of Latvia 05/2019. 
Distribution through EMD and windPRO. 


  • The Geospatial Information Agency of Latvia and the pubic of Latvia are thanked for producing this digital elevation dataset – and disseminating it in the public domain - and thus for aiding the development of renewable energy.
  • Integration of this dataset into EMD services was co-supported through the InnoWind project ([ which is co-funded by the Danish Innovation Fund

External Links