Python is one of the most popular programming languages for data science and analytics, with a large and steadily growing community in the field of Earth and Space Sciences. 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.

The workshop is based on the teaching style of the Carpentries, and learners will follow along while the instructors write the code on screen. More information can be found on the workshop website.

Please be advised that by signing up, you agree to our Cancellation and No-Show Policy, which states that cancellations made less than 2 working days prior to the event will incur a no-show fee. Please read the full policy here for more details.

If you won’t be able to attend, please cancel your registration (by following the instructions here) so that we can offer your seat to someone on the waiting list.Description

Audience

The workshop is aimed at PhD candidates and other researchers or research software engineers. We offer tickets for researchers who are affiliated with Dutch research institutions. We also offer industry tickets for attendees who are not affiliated with Dutch research institutions. We do not accept registrations by Master students.

Ticket prices

Ticket prices are as follows:

• For participants affiliated with Dutch research institutions: €175.00
• For participants from industry: €525.00

Prerequired knowledge

The participant should:

• have working knowledge of Python
• have had exposure to the Bash shell

The participants DO NOT need to have prior knowledge of the Python tools this workshop is teaching.

Syllabus

• Basics of raster and vector data
• Introduction to Coordinate Reference System (CRS)
• 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

Where

This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.