This repo is intended as a showcase for open source projects/programs that use NOAA OCM's Coastal Change Analysis Program (CCAP) data. Specific projects are described below. New descriptions should be appended as content is added.
These Python Jupyter Notebooks are intended to accompany the multi-part GeoZone blog titled Exploring the C-CAP Land Cover Atlas using Machine Learning and Python.
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LCA_Blog_Part1-Retrieve_Data_from_API.ipynb: Uses the Python Requests library to retrieve land cover change information from the C-CAP Land Cover Atlas API and load it into a Pandas dataframe.
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LCA_Blog_Part2-Cleaning_the_Data.ipynb: Uses the Pandas and GeoPandas libraries to manipulate dataframes and prepare them for use with machine learning algorithms.
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