Use geopandas to split a shapefile into training and test datasets to be used for random forests classification. Eventually, this playlist will result in development of a random forests classifier to create land cover classifications for NAIP imagery. Land cover classifications will be applied to image segments (objectoriented image analysis). Code for tutorials in this playlist can be accessed from the web pages linked below.

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Code for this video is available here: https://opensourceoptions.com/blog/py...

Blog post for Part 1: https://opensourceoptions.com/blog/py...