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Introduction to Meditwin Summer School
Training Program
Summer School Agenda for EO Data Processing in Cloud Environments
Training Content
Day 1 – Introduction to Earth Observation (EO) & Cloud Computing Fundamentals
Explore CDSE ODATA API
Explore Available Collections in Copernicus Data Space Ecosystem (CDSE) STAC Catalouge
Download Data from CDSE STAC API As a DataCube Using STACSTACK
Download Sentinel-2-L2A Data from AWS STAC Catalouge
Download Sentinel-1 Data from Planetary Computer STAC Catalouge
Explore AWS STAC STAC With ODC and DASK
Download ERA5 Data from Copernicus Data Store API
Day 2 – Cloud-Native EO Data
Create Cloud Native Geospatial Formats
Work With Cloud Storage
Create STAC Catalogs With PyStac
Introduction to Xarray
Introduction to Dask
Dask With Xarray for Out-of-Memory Data
Day 3 - Introduction to AI, ML, Docker and Kubernetes
Day 3 - Part 1 - Introduction to AI
Introduction to Clay Foundation Model for Earth Observation
Day 3 - Part 2 - Introduction to Containerization, Docker and Kubernetes
Day4 - ML Pipelines
Day 5 - Inference and Model Deployment
ERA5 Forecast Inference
ESA WorldCover Classification Inference
Serving Machine Learning Models
Test ESAWorldCover Classification API
Repository
Open issue
Index
