
The NASA / USGS Landsat Program is the longest running initiative to provide space-based data for Earth’s land surface. Based on nine satellites, this...
Read More
Read about the selection process to work at OpenGeoHub
Read More
OpenGeoHub together with partners Woodwell Climate Research and University of Florida, has released on the World Soil Day 5th of December 2021 the first ...
Read More
OpenGeoHub, in partnership with the Woodwell Climate Research Center and the University of Florida, will launch a new project aimed at helping soil scientists use soil spectroscopy...
Read More
Importance of iSDAsoil More than 475 million out of 570 million farms in the world are smaller than 2 hectares. A substantial amount of them...
Read More
Background Purpose of the OpenGeoHub Spatial Prediction Competition Game (the OpenGeoHub hackaton; former GEOSTAT hackatons) is to provide an opportunity to students to use all obtained...
Read More
At OpenGeoHub and EnvirometriX, we recognize that machine learning, combined with AI, is a game-changer for both science and business. It’s having a major...
Read More
Call for manuscripts Technological and Methodological Advances in Measuring, Mapping and Monitoring Soil Carbon and Nutrients in Space and Spacetime Special issue Nutrient Cycling in...
Read More
OpenGeoHub is proud to be part of the international consortium on the H2020 project MOnitoring Outbreak events for Disease surveillance in a data science context....
Read More
OpenGeoHub has started in 2019 an Innovation and Networks Executive Agency (INEA) co-funded project called “Geo-harmonizer: EU-wide automated mapping system for harmonization of Open Data based...
Read More
Making an OpenStreetMap-type data portal for land-related environmental data The OpenGeoHub Foundation is pleased to announce the first release of LandGIS, a new webmapping system...
Read More
Access video recordings 2018 At every or at least every second Summer School, we aim at video recording majority of lectures and releasing those using...
Read More
Predictive Soil Mapping (PSM) is based on applying statistical and/or machine learning techniques to fit models for the purpose of producing spatial and/or spatiotemporal...
Read More
Prof Edzer Pebesma (University of Münster, Institute for geoinformatics, Germany) and prof Roger Bivand (NHH, Bergen, Norway), main authors of the Springer R series bestlessing book on Applied...
Read More
One of the key missions of the OpenGeoHub is to promote creation and use of Open Data. But what is exactly “Open Data” and...
Read More
I came to know Roger around the year 2000, through emails he posted to ai-geostats, an email list started by Gregoire Dubois from JRC,...
Read More