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 (object-oriented 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/python-geographic-object-based-image-analysis-geobia-part-2-image-classification/
Blog post for Part 1: https://opensourceoptions.com/blog/python-geographic-object-based-image-analysis-geobia/
