Scale-up your eo-learn workflow using Batch Processing API

Maxim Lamare
Sep 17, 2020 · 7 min read

How to generate harmonized ML features over huge areas and not become broke.

As Grega Milcinski noted recently in Sentinel Hub’s Roadmap, eo-learn has become widely adopted within the Earth Observation and Machine Learning communities. The library has been used for a variety of both small and large scale exercises, but for those working on really large use-cases, the performance and cost of the synchronous access to data powered by process API can pose issues.