
Environmetrics + Econometrics = A Valued Landscape
What we do
We cover the world. Let us solve your data problems.
Machine Learning
Cutting edge ML and High-Performance Computing for predictive mapping.
Landscape restoration
Providing decision-ready data to tackle land degradation through scoping and design.
Soil carbon
Measurement, modeling, mapping and monitoring of soil carbon.
Customised web solutions
Hosting and distribution of massive spatial data.
Standing on the
shoulders of giants
Our own co-founder Tom Hengl was listed among the Highly Cited Researchers recipients for 2021. Only 0.1% of researchers in the world have made it to this list.
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recent projects
We are a deep tech group helping businesses & organizations find the right balance between satellites and samples.
We produce open data sets and methodologies for national and international organisations
The UNCCD, Government of British Columbia, ISDA Africa, Conservation International and The Nature Conservancy are some of our clients. We also serve individual farmers & collectives across multiple continents. We back landholders to baseline their ecological services, experiment on-farm and monitor results. Ultimately, accurate proof of ecosystem services supports better pricing.
EnvirometriX is a proud sponsor of the OpenGeoHub Foundation
OpenGeoHub is an independent not-for-profit research foundation promoting Open Source and Open Data solutions. Through OpenGeoHub we offer solutions & training in cutting-edge open geospatial data & services.
OpenGeoHub stands apart from any other organisation through its dedication to the Open Source and Open Data communities. This is exemplified through over 12 years of offering Summer Schools and online trainings in cutting edge Machine Learning and GeoSpatial Data processing subjects.

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The Soil and Agronomy data cube for Africa is now also available from https://registry.opendata.aws/isdasoil/ Check out the python tutorial https://github.com/iSDA-Africa/isdasoil-tutorial and read more about the data production in: https://www.nature.com/articles/s41598-021-85639-y @iSDAAfrica #SoilData4Africa #opendata #RStats @opengeohub
Our paper reporting results of modeling and mapping soil properties and nutrients using 2-scale Ensemble Machine Learning (250m + 30m Sentinel-2 images) now available at: https://www.nature.com/articles/s41598-021-85639-y #SoilData4Africa #OpenData #RStats @iSDAAfrica @GilabRs @DMultione @Rothamsted @ICRAF
We are happy to coordinate the great team of the AgriCapture @EU_H2020 project:
@envirometri @planetlabs @SatAgroEN @OneCarbonWorld1 @Green_Europe @LEAF_Farming @Gameandwildlife @RapeseedOilFans @Arthurslegal @ugljesatrkulja #AUA #elgo.gr
https://gilab.rs/agricapture-developing-eo-powered-services-to-promote-soil-carbon-sequestration-through-regenerative-agriculture/