This course presents the tools and techniques for using the Digital Earth Australia (DEA) infrastructure and applying remote sensing data to solve real problems. This course provides an introduction to scientific computing using Python and a practical approach to geospatial data processing. Using practical and interactive examples, based on Jupyter notebooks, attendants will acquire the necessary knowledge to use satellite data and solve a wide range of analytical problems using the DEA Sandbox platform.

There are three sessions planned for the following dates:
      - 21-22 July
      - 25-26 August
      - 22-23 September

Program for the course:
https://bit.ly/3h1pEC7

For more information:
https://anu-wald.github.io/dea_course

Please fill the following form with your details and preferred session if you want to participate.

Space is limited to 15 students per session. Attendance will be confirmed by order of registration.