Tom Hengl
@tomhengl.bsky.social
Director at OpenGeoHub / and technical director at EnvirometriX. I am a data scientist passionately promoting open data & FOSS4G, automated soil mapping, Machine Learning for environmental data, global data sets, R spatial and spatio-temporal modeling...
Video-recordings are at: youtu.be/443HBf1GIGI?...
GeoLDN webinar: "OpenLandMap-soildb: global dynamic soil data at 30 m resolution"
YouTube video by OpenGeoHub Foundation Official Channel
youtu.be
September 24, 2025 at 5:06 PM
Video-recordings are at: youtu.be/443HBf1GIGI?...
15 secs videos on what is the Open-Earth-Monitor Global Workshop about: youtu.be/avOSQhMjKJg
Open-Earth-Monitor Global Workshop 2025
YouTube video by OpenGeoHub Foundation Official Channel
youtu.be
July 16, 2025 at 8:47 AM
15 secs videos on what is the Open-Earth-Monitor Global Workshop about: youtu.be/avOSQhMjKJg
To apply visit: opengeohub.org/jobs/senior-...
Senior Developer / Software Engineer: Open source tools for geospatial data - OpenGeoHub Foundation: Connect | Create | Share | Repeat
If you have already contributed software to open development communities and if your special talent is making tidy, robust and generic software (and if you love to share and educate others) OpenGeoHub...
opengeohub.org
July 16, 2025 at 6:25 AM
To apply visit: opengeohub.org/jobs/senior-...
Embeddings simultaneously solve 3 fund problems of EO data science:
- data usability increases complete consistent and harmonized components (ARD),
- data is compressed as you can combine many overlapping systems,
- ML would likely lead to higher accuracy as it is easier to reduce model complexity,
- data usability increases complete consistent and harmonized components (ARD),
- data is compressed as you can combine many overlapping systems,
- ML would likely lead to higher accuracy as it is easier to reduce model complexity,
June 23, 2025 at 11:25 AM
Embeddings simultaneously solve 3 fund problems of EO data science:
- data usability increases complete consistent and harmonized components (ARD),
- data is compressed as you can combine many overlapping systems,
- ML would likely lead to higher accuracy as it is easier to reduce model complexity,
- data usability increases complete consistent and harmonized components (ARD),
- data is compressed as you can combine many overlapping systems,
- ML would likely lead to higher accuracy as it is easier to reduce model complexity,