Description
Due to its effectiveness and simplicity, Python is spreading as a choice for handling geospatial data. From running algorithms capable of extracting geo- referred insights or processing geo archives, Python could represent a powerful tool to handle geo-related problems thanks to an extensive set of libraries. The training will give an overview about processing geospatial data with Python. An approximate agenda will include:
- Introduction
- setting up the the environment
- an introduction to geospatial world
- Working with geospatial data
- playing with geo archives (vector/rasters)
- extracting geo analytics
- Vector tiles big vector data
- Apache Spark for geospatial raster analysis
- Python for Earth observation
- Classifying earth observation images
- Extracting insights from Copernicus products
- Use SNAP from Python
No tools are required for attending this training. Bring your PC with Docker installed. Further instructions will be provided.
Feedback form: https://python.it/feedback-1674
in __on Friday 3 May at 10:30 **See schedule** in __on Saturday 4 May at 18:00 **See schedule**