Python is one of the most popular programming languages for data science and analytics, with a large and steadily growing community. In this workshop, we will help participants with a working knowledge of Python to familiarize with the world of geospatial raster and vector data. We will introduce a set of tools from the Python ecosystem and show how these can be used to carry out practical geospatial data analysis tasks. In particular, we will consider satellite images and public geo-datasets and demonstrate how these can be opened, explored, manipulated, combined, and visualized using Python.
This workshop organized by the Center of Expertise in Big Geodata Science (CRIB) will cover the following aspects of geospatial data processing:
- Basics of raster and vector data and coordinate reference systems (CRSs)
- Access satellite imagery using Python
- Read and visualize and process raster/vector data
- Data analysis with the combination of raster and vector data
- Parallel computation for geospatial data
During the workshop, the following Python packages will be covered:
- pystac-client and pystac for EO data query and retrieval
- rioxarray for raster data processing
- geopandas for vector data processing
- dask for distributed EO data processing
Date
12 and 13 March 2025 (One and a half day training)
Venue
ITC Building, Room LA 2301
Hallenweg 8, 7522 NH Enschede
Registration
Registration is required to attend the workshop, which is open to all UT staff and students.
The capacity is limited to 25 people. In case of more registrations, the participants will be selected randomly, considering the balance between staff and students.
For more information and registration, please visit the training page.