Uploaded May 2021 | Updated September 2026, 2 weeks ago

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In today's video we had the pleasure of interviewing Tomislav Hengl and Leandro Parente from OpenGeoHub to talk about their Machine Learning for Global Good project - OpenLandMap.

OpenGeoHub and EnvirometriX, partnered with GiLAB, LandPotential.org and Spatia-Ecology.net, to start a global predictive vegetation and soil mapping system. By using state-of-the-art machine-learning mapping applications, complete and consistent global data can now be used by researchers and businesses.

The aim of OpenLandMap is to not only just increase the usability of national and global data sets, but also at opening the floor for collaboration and data sharing. View OpenLandMap here - openlandmap.org/#/?base=Stamen%20(OpenStreetMap)¢er=25.0000,39.0000&zoom=4&opacity=80&layer=lcv_land.cover_esacci.lc.l4_c&time=2015

To find out more about OpenGeoHub and the Scan Partnership then visit here - scan.co.uk/business/envirometrix/case-study

Get in touch with the Scan AI team here - ai@scan.co.uk / 01204 474747

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