EO-MQS Tutorial for C-SCALE

This project provides a brief introduction of the Earth Observation Metadata Query Service (EO-MQS) for C-SCALE.

Getting started with docker

docker compose up -d

This compose file launches one service:

Access the JupyterLab Web UI like so:

http://127.0.0.1:8888/lab?token=eo-mqs

You can also run the notebooks using EGI Replay.

Pre-requisites:

Create an EGI Account
Enroll the vo.notebooks.egi.eu Virtual Organisation following this link: https://aai.egi.eu/registry/co_petitions/start/coef:111

Data required to be accessible from Jupyter is located in the directory data and sample notebooks are provided in the folder notebooks.

There are very basic sample notebooks available to get a feeling of how to interact with the MQS using Python.

General recommendation: make use of the STAC Index to find the tool in the STAC Ecosystem that suits your needs best.

The slides of the presentation from 22nd March 2023 are available as PDF in this repository eo-mqs-demo-20230322.pdf.

The recording of the session is available on YouTube.

Links shown in the demo and other useful resources is provided in the data folder: useful-links.json.