Instructor Notes
Instructor notes
Episode 3
-
brpgewaspercelen_definitief_2020_small.gpkgwas created because the original file was too large to download and load. Original file, which was ~500Mb could take several minutes to load, and could crash the Jupyter terminal. - The cropped version of
brpgewaspercelen_definitief_2020_small.gpkg:data/fields_cropped.shpis required for later episodes. - The “Modify the geometry of a GeoDataFrame” section is optional and can be skipped without consequences.
Workshop setup
- Consider using
mambafor speeding up the Python environment setup. - Make sure the audience has downloaded the three vector datasets to
the
datarepository.
Introduction to Raster Data
Introduction to Vector Data
Coordinate Reference Systems
The Geospatial Landscape
Access satellite imagery using Python
Considerations for the position of this episode in the workshop
When this workshop is taught to learners with limited prior knowledge of Python, it might be better to place this episode after episode 11 and before episode 12. This episode contains an introduction to working with APIs and dictionaries, which can be perceived as challenging by some learners. Another consideration for placing this episode later in the workshop is when it is taught to learners with prior GIS knowledge who want to perform GIS-like operations with data they have already collected or for learners interested in working with raster data but less interested in satellite images.
Extra attention for the following exercise
- The exercise Exercise: Search satellite scenes using
metadata filters needs extra attention. Its output
search.jsonis required for the later episodes. Therefore we recommend:- Do not skip this exercise;
- Think twice when you would like to change the query arguments in this exercise;
- Make sure all the audience have the output
search.jsonbefore continuing.