The Satellite Imagery Source

Search Image Hunter Now
Posted on October 1st, 2019

Featured Product – 50-cm Vricon Digital Elevation Models (DEMs)

A 50-cm Vricon DSM collected over Oahu, Hawaii, USA.

In conjunction with our partner, Vricon – a geospatial intelligence company dedicated to mapping the globe in 3D – we are pleased to offer 50-cm digital elevation models (DEMs) from a growing archive. Owned by Saab and Maxar, Vricon pulls from Maxar-DigitalGlobe’s vast archive of satellite imagery to create 50-centimeter (cm) resolution digital elevation models (DEMs) with impressive accuracy.

Vricon replaces the need for stereo pairs by combining a multitude of high-resolution satellite images taken at varying look angles along with a 3D modeling algorithm to create their extremely detailed and accurate elevation models. Vricon DEMs are offered at both 50-cm and 5-meter (m) resolution as a digital surface model (DSM) or a digital terrain model (DTM).

A DTM of the Colorado Front Range on the left side of the image above blends into a Vricon 3D Surface Model over Golden, Colorado, USA.

Here is a summary of the current Vricon DEM specifications:

  • DEM Post Spacing (i.e. Resolution): 5 m
  • Absolute Vertical Accuracy: < 3 m Linear Error 90% (LE90)
  • Absolute Horizontal Accuracy: < 3 m Circular Error 90% (CE90)
  • Product Levels: DSM and DTM
  • Average Delivery Time: 1 week, where available

Thanks to Maxar’s vast archive, Vricon is able to create custom DEMs of almost any place in the world – adding massive blocks to their archive monthly.

You can search for Vricon DEM coverage 24-hours a day by using Image Hunter. If you have any pricing requests, additional questions or would like a new price list with Vricon DEM data added in, send us an email at!

This entry was posted in The Geospatial Times and tagged , , , , , Bookmark the permalink.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

    The Geospatial Times Archive