The first hackathon of the Open-Earth-Monitor (OEMC) project challenges young researchers and members of the GIS community to explore machine-learning solutions for land cover mapping. The participants will be asked to map data about land cover, land use, irrigation management, and structural elements of European landscapes using satellite images and machine learning models. This will be done using ground-truth data provided by the LUCAS Survey, funded by the European Commission.
The participant with the highest accuracy wins the challenge. The prize will be the chance to assist and present their results at the OEMC Global Workshop taking place in Bolzano, Italy from 4-6 October. They will also be granted access to the OpenEO Platform, a large-scale cloud platform able to access and analyze billions of satellite images and other Earth Observation data.
This hackathon is an opportunity for participants to connect with cutting-edge developments and experts in the field of machine learning and to improve, share knowledge and build a creditable background within Earth Observation applications. The event will be hosted by OpenGeoHub (OGH). CREAF is a co-organizer together with the International Institute for Applied Systems Analysis (IIASA), GILAB, the Institute for Geoinformatics of the Münster University (IFGI), Terrasigna , and Eurac Research.
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