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Machine learning on data cubes with openEO

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Title
Machine learning on data cubes with openEO
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44
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Publisher
Release Date2023
LanguageEnglish
Producer
Production Year2023
Production PlaceWageningen

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Abstract
Edzer Pebesma leads the spatiotemporal modeling lab at the Institute for Geoinformatics of the University of Münster. The presentation he did was about discussing the concept of data cubes, cloud computing, and why openEO is a good idea to use for computing on large data cubes. It also discussed how machine learning and deep learning work, and showed how these methods can be applied to data cubes using openEO (which is a work in progress, really).
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