EnvirometriX – Innovation Research and Consultancy

Environmetrics + Econometrics = a valued landscape

EnvirometriX BV: Research, Innovation and Consultancy

About us

Machine Learning

Cutting edge ML and High-Performance Computing for predictive mapping.

Soil carbon

Measurement, modeling, mapping and monitoring of soil carbon.

Landscape restoration

Providing decision-ready data to tackle land degradation through scoping and design.

Customised web solutions

Hosting and distribution of massive spatial data.

Science-based startup located at
the Agro Business Park in Wageningen

We help businesses and organizations optimize their soil sampling and monitoring campaigns,
produce better data and make better decisions.

We produce 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.

UNCCD

Country reporting to UNCCD for Land Degradation Neutrality / UNCCD

Learn More

British Columbia

Predictive Ecosystem Mapping using Ensemble Machine Learning

Learn More

ISDA Africa

Soil property / nutrient mapping and web-services for agriculture

Learn More

Conservation International

Soil carbon assessment from country to field scale

Learn More

The Nature Conservancy

Production of the mangrove restoration potential map

Learn More

EnvirometriX outputs

Access some of our published outputs.

iSDAsoil: Open Soil Data for Africa

T. (Tom) Hengl 28 October 2020

Mapping Potential Natural Vegetation

T. (Tom) Hengl 14 July 2020

Predictive Soil Mapping with R

T. (Tom) Hengl 20 December 2018

The Unofficial Guide for Authors

T. (Tom) Hengl 19 August 2011

Our team

Ichsani Wheeler

Co-founder

Profile

Tom Hengl

Co-founder

Profile

Kris Devéria

Project coordinator & research assistant

Profile

Mohammadreza Sheykhmousa

Researcher

Profile

Leandro Parente

Post-doctoral researcher

Profile

> 20,000

OpenLandMap website visitors

>100 billion

Soil pixels produced

100 TB

Global and regional datasets

> 15,000

Citations in scientific literature

Our partners

We work closely together with number of organizations including: OpenGeoHub, Gilab, Mundialis, Spatial-Ecology, MultiOne and MapRadix.

Our recent posts…

EnvirometriX LtdFollow

EnvirometriX Ltd @envirometri·

20h

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

Reply on Twitter 1392089043605803010 Retweet on Twitter 13920890436058030103 Like on Twitter 13920890436058030105 Twitter 1392089043605803010

EnvirometriX Ltd @envirometri·

23 Mar

This tutorial explains how to access the 30-m spatial resolution soil and agronomy data for Africa (including Sentinel-2 cloud-free mosaics) using Cloud-Optimized GeoTIFFs: https://gitlab.com/openlandmap/africa-soil-and-agronomy-data-cube #SoilData4Africa #rstats @iSDAAfrica #OpenData

Reply on Twitter 1374432581878382594 Retweet on Twitter 137443258187838259417 Like on Twitter 137443258187838259434 Twitter 1374432581878382594

EnvirometriX Ltd @envirometri·

17 Mar

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

Reply on Twitter 1372179313253089282 Retweet on Twitter 137217931325308928221 Like on Twitter 137217931325308928238 Twitter 1372179313253089282

Retweet on Twitter EnvirometriX Ltd Retweeted

Scan Business @Scan_Business·

21 Jan

At Scan we have the pleasure of working with organisations all over the globe who are using AI, Deep Learning Machine Learning to benefit humanity. Some of the most recent of these organisations are EnvirometriX and OpenGeoHub:

https://lnkd.in/dUiH695

#mlforglobalgood

Reply on Twitter 1352294988374302720 Retweet on Twitter 13522949883743027208 Like on Twitter 135229498837430272011 Twitter 1352294988374302720

Retweet on Twitter EnvirometriX Ltd Retweeted

GILab.rs @GilabRs·

5 Jan

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/

Reply on Twitter 1346459663987077124 Retweet on Twitter 13464596639870771243 Like on Twitter 13464596639870771245 Twitter 1346459663987077124

Environmetrics + Econometrics = a valued landscape

Machine Learning

Soil carbon

Landscape restoration

Customised web solutions

Science-based startup located at
the Agro Business Park in Wageningen

We produce data sets and methodologies for national and international organisations

UNCCD

British Columbia

ISDA Africa

Conservation International

The Nature Conservancy

EnvirometriX outputs

iSDAsoil: Open Soil Data for Africa

Mapping Potential Natural Vegetation

Geomorphometry

Landmap package for R

Predictive Soil Mapping with R

OpenLandMap.org

The Unofficial Guide for Authors

Our team

Ichsani Wheeler

Tom Hengl

Kris Devéria

Mohammadreza Sheykhmousa

Leandro Parente

> 20,000

>100 billion

100 TB

> 15,000

Our partners

GiLAB

OpenGeoHub

Mundialis

Spatial Ecology

MultiOne

MapRadix

Our recent posts…

Environmetrics + Econometrics = a valued landscape

Machine Learning

Soil carbon

Landscape restoration

Customised web solutions

Science-based startup located at the Agro Business Park in Wageningen

We produce data sets and methodologies for national and international organisations​

UNCCD

British Columbia

ISDA Africa

Conservation International

The Nature Conservancy

EnvirometriX outputs

iSDAsoil: Open Soil Data for Africa

Mapping Potential Natural Vegetation

Geomorphometry

Landmap package for R

Predictive Soil Mapping with R

OpenLandMap.org

The Unofficial Guide for Authors

Our team

Ichsani Wheeler

Tom Hengl

Kris Devéria

Mohammadreza Sheykhmousa

Leandro Parente

> 20,000

>100 billion

100 TB

> 15,000

Our partners

GiLAB

OpenGeoHub

Mundialis

Spatial Ecology

MultiOne

MapRadix

Our recent posts…

Science-based startup located at
the Agro Business Park in Wageningen

We produce data sets and methodologies for national and international organisations