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[osmith]Introduce your project

This project is parallel research to the GFC canopy assessment. It's focus is on the creation of an source supervised classification system designed specifically to create an efficient canopy/forest classification python module built on Scikit-learn, GDAL, and NumPy and utilizing NAIP imagery.

The hope is to create an alternative to proprietary classification systems (i.e. Textron) to be used for ongoing research into canopy change and the data creation that is needed for it.