Earth Observation and Machine Learning as the key technologies to track implementation of the Green Deal: 10 main takeaways
Creators: name: Hengl, T.
name: Ross, C.
name: Delconte, V.
Publisher: name: Zenodo
Year: 2022
Subjects: Copernicus
Earth Observation
Environmental information

description: One of the key objectives of the largest government-run Earth Observation missions such as Copernicus Europe, Landsat and similar is to provide reference scientific information to enable monitoring of our changing environment across borders (and beyond visible light!). EO-based products are becoming crucial for spatial planning but also for the econometric assessment of the social benefits, taxation and political decisions in general. We have invited a number of keynote speakers and asked them to share their opinions on the general question “How can Earth Observation (EO) and Machine Learning technology help deliver the green (new) deal and what could potentially be a win-win-win situation?” By win-win-win here we imply: (1) environmental data users (businesses and organizations) win, (2) data producers win, and (3) society wins. Each of the talks was video recorded and is available <strong>here</strong><strong>. </strong>These are the main takeaways.
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