Description
This course presents the tools and techniques for processing satellite imagery through practical examples.The materials will get participants familiar with using DEA by connecting to the National Computational Infrastructure. A quick introduction to scientific Python is provided and geospatial concepts are presented using practical and interactive examples using Jupyter notebooks. By the end of the course, participants will have the necessary knowledge to use satellite data and apply it to solve a wide range of analytical problems using Python.
This training focuses on understanding and using:
Python and Jupyter for spatial data (Introduction to scientific Python, Numpy, Matplotlib and Xarray libraries)
DEA (examples of querying, loading, processing and exporting data)
Geospatial analysis using DEA (examples of querying, loading, processing and exporting data)
Machine learning to create models based on DEA data.
| Period | 19 Oct 2021 → 20 Oct 2021 |
|---|---|
| Degree of Recognition | National |