Do you spend most of your research time downloading and pre-processing large volumes of data in different formats to prepare them for your actual research question?
Wouldn’t you like to spend most of your time in interpreting research results rather than with data preparation?

This short course will show you new approaches to access and process large volumes of Earth Science data. You will get an introduction of geospatial web services, such as OGC Web Mapping Service (WMS) and Web Coverage Service (WCS), but also alternatives to OGC, such as OpenDAP will be discussed. Practical hands-on examples will show you the benefits of accessing data with geospatial web services, without the need to download Gigabytes of data. Additionally, you will get an overview of helpful Python libraries, such as owslib or requests, to exploit web services in a programmatic way.

Within an hour you will be able to set up your own scientific workflow, including access, processing and visualizing Gigabytes of data.
Examples will include climate data from ECMWF, marine data from the Plymouth Marine Laboratory and Earth Observation data (Landsat and Sentinel-2/-3).

This is a hands-on workshop. Participants should have some programming experience with Python. Hand-on examples will be provided with Jupyter Notebooks.