Skip to main content
x
OpenLandMap: using Machine Learning for global good admin Mon, 08/03/2020 - 18:28

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 impact on our daily lives in areas such as healthcare, security, web technology, self-driving vehicles, and many other fields. But it's still relatively under-used in areas such as landscape planning, food production and land restoration. Even the gaming industry has made more progress in machine learning than natural resource conservation.

standard
featured
hot
recommended
MOOD - MOnitoring Outbreak events for Disease surveillance in a data science context admin Wed, 04/01/2020 - 22:14

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. H2020 Grant agreement ID: 874850. In these difficult times of the Coronavirus outbreak, we will be looking at user perspective and tracking and understanding outbreaks, predicting potential outbreaks that might happen as a result of climate change and loss of habitat for native species.

standard
featured
hot
recommended
Geo-harmonizer project: making new seamless spatial layers for the continental EU admin Wed, 04/01/2020 - 22:03

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 on FOSS4G and Machine Learning". The project homepage is https://opendatascience.eu. We have published in March 2020 the Implementation plan and are now working on new data-sets including:

standard
featured
recommended
Pre-release LandGIS admin Sat, 11/03/2018 - 14:48

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 that aspires to be recognized as the "OpenStreetMap for land-related environmental data". LandGIS includes globally complete, fine spatial resolution (250 m to 1 km) datasets on relief, geology, land cover, land use, vegetation and land degradation indices, soil properties, soil classes and potential natural vegetation (see e.g.

standard
featured
hot
Subscribe to Open data