Cubes & Clouds - Cloud Native Open Data Science for Earth Observation
Independent

About This Course
Welcome to ‘Cubes & Clouds’. This course teaches the concepts of data cubes, cloud platforms, and open science in the context of earth observation. By loading the video, you agree to YouTube’s privacy policy.
Who is the course for?
It targets Earth Science students and researchers who want to increase their technical capabilities onto the newest standards in EO computing, as well as Data Scientists who want to dive into the world of EO and apply their technical background to a new field.
What will you learn?
The course explains the concepts of data cubes, EO cloud platforms, and open science by applying them to a typical EO workflow from data discovery, and data processing up to sharing the results in an open and FAIR (Findable, Accessible, Interoperable, Reusable) way. An engaging mixture of videos, animated content, lectures, hands-on exercises, and quizzes transmits the content. You will learn the theoretical concepts of cloud native EO processing and have gained practical experience by conducting an end-to-end EO workflow. You will be capable of independently using cloud platforms to approach EO-related research questions and be confident in how to share research by adhering to the concepts of open science. As proof of the acquired skills a community snow cover map is created where every participant contributes and shares his results openly and FAIR: Cubes and Clouds: Snow Cover STAC Collection
How long will the course take me?
The course is designed to span 30 hours in total, but it is conveniently broken down into smaller sections to facilitate ease of completion and flexibility in scheduling.
How is the course structured?
The course is structured into three lessons. Each one builds on the knowledge acquired in the previous lessons. The course will cover the following topics: Concepts Data Discovery Data Processing and Sharing (Access Course Raw Materials).
Level
Introductory, Intermediate
Requirements
No specific prerequisites are required.
Subject Area
Earth Observation, Geospatial Data Science, Cloud Computing, Open Science, FAIR Principles
What You Will Learn
- Introduction
- What is a Cloud Platform?
- What is a Data Cube?
- Open Science and the Fair Principles
- Open Data and Open Source Software
- Open Science in EO and EO Cloud Platforms
- Data Discovery
- Data Properties
- Access EO Data from the Cloud
- Data Formats and Performance
- Data Processing
- Result Validation
- Data Sharing and Conclusion
Resources
"Cubes & Clouds - Cloud Native Open Data Sciences for Earth Observation by Peter James Zellner, Tereza Doležalová, Michele Claus, Jonas Eberle, Rufai Omowunmi Balogun, Stephan Meißl, Rico Eckardt, Hannes Hodam, Alexander Jacob, and Anca Anghelea.