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Projekt

Open-Earth-Monitor Cyberinfrastructure

The Open-Earth-Monitor Cyberinfrastructure will increase European capability to generate timely, accurate, disaggregated, people-centred, accessible (GSM-compatible) and user-friendly environmental information based on Earth Observation data. We will achieve this by building a cyberinfrastructure anchored in FAIR data…

The Open-Earth-Monitor Cyberinfrastructure will increase European capability to generate timely, accurate, disaggregated, people-centred, accessible (GSM-compatible) and user-friendly environmental information based on Earth Observation data. We will achieve this by building a cyberinfrastructure anchored in FAIR data principles, leveraging and improving our existing platforms OpenEO.org, Geopedia.world, GlobalEarthMonitor.eu, EarthSystemDataLab.net, OpenLandMap.org, OpenDataScience.eu, LifeWatch.eu, XCUBE and EuroDataCube.com.

We do this in 3 phases:

a) implementation of the computing engine and in-situ O&M data services;

b) direct application of the Open-Earth-Monitor to support EU Green Deal and other strategic actions;

c) dissemination and engagement of stakeholders & target users through series of open workshops, then revise the tools and adjust them to better fit their objectives and limitations.

We specifically target contributing to:

operational planning for planting 3 billion trees over the EU by 2030;

achieving climate-neutrality by 2035 in the land sector;

building back a net-zero GHG emission economy by 2050;

achieving UN’s SDGs’; monitoring essential biodiversity indicators;

compiling natural capital accounts for private / public sectors;

enabling businesses to leverage competitive advantage through the EU Green Deal;

increasing the quality of life for European Citizens.

We will innovate:

1) implementation of original cloud-based solutions to seamlessly integrate in-situ (point, site) & EO data so that we can produce environmental information at analysis- and decision-ready levels;

2) implementation of fully-scalable Automated Mapping / AutoML frameworks;

3) user-experience-designed data provision and Apps possibly reaching millions of users across EU and globally;

4) financial assessment tools allowing users to directly quantify ecosystem services (SEEA methodology), to identify optimal environmental and climate solutions, & to build business solutions.

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