This Project Pythia Cookbook covers a range of Earth observation examples employing the Pangeo philosophy. The examples represent the main research lines and BSc/MSc courses at the Department of Geodesy and Geoinformation at the TU Wien (Austria). The department has strong ties with the EODC (Earth Observation Data Centre For Water Resources Monitoring), which hosts e.g., analysis-ready Sentinel-1 (imaging radar mission) data, and provides computational resources to process large such large data volumes.
The motivation behind this book is to provide examples of Pangeo-based workflows applied to realistic examples in Earth observation data science. Creating an effective learning environment for Earth observation students is a challenging task due to the rapidly growing volume of remotely sensed, climate, and other Earth observation data, along with the evolving demands from the tech industry. Today’s Earth observation students are increasingly becoming a blend of traditional Earth system scientists and "big data scientists", with expertise spanning computer architectures, programming paradigms, statistics, and machine learning for predictive modeling. As a result, it is essential to equip educators with the proper tools for instruction, including training materials, access to data, and the necessary skills to support scalable and reproducible research.
Wolfgang Wagner, Martin Schobben, Nikolas Pikall, Joseph Wagner, Davide Festa, Felix David Reuß, Luka Jovic
This book comprises examples of datascience concerning Earth Observation (EO) data, including course material on remote sensing and data products produced by the TU Wien. It also serves to showcase the data and services offered by the EODC (Earth Observation Data Centre For Water Resources Monitoring Gmbh), including a STAC catalogue and a Dask Gateway for distributed data processing.
This section offers an overview of notebooks, which are used in courses from the Department of Geodesy and Geoinformation at TU Wien.
This section provides a collection of general examples of earth observation related tasks and workflows, which are not directly related to a specific course or product.
In this section you will find a collection of lessons, which explain certain products or methods that have been developed at the Department of Geodesy and Geoinformation at TU Wien.
You can either run the notebook using Binder or on your local machine.
The simplest way to interact with a Jupyter Notebook is through
Binder, which enables the execution of a
Jupyter Book in the cloud. The details of how this works are not
important for now. All you need to know is how to launch a Pythia
Cookbooks chapter via Binder. Simply navigate your mouse to
the top right corner of the book chapter you are viewing and click
on the rocket ship icon, (see figure below), and be sure to select
“launch Binder”. After a moment you should be presented with a
notebook that you can interact with. I.e. you’ll be able to execute
and even change the example programs. You’ll see that the code cells
have no output at first, until you execute them by pressing
{kbd}Shift+{kbd}Enter. Complete details on how to interact with
a live Jupyter notebook are described in Getting Started with
Jupyter.
If you are interested in running this material locally on your computer, you will need to follow this workflow:
-
Clone the
https://github.com/TUW-GEO/eo-datascience-cookbookrepository:git clone https://github.com/TUW-GEO/eo-datascience-cookbook
-
Move into the
eo-datascience-cookbookdirectorycd eo-datascience-cookbook -
Create Jupyter kernels
make kernel
-
Move into the
notebooksdirectory and start up Jupyterlabcd notebooks/ jupyter lab