About¶
CanoClass is a Python module created to process large amounts of NAIP imagery and create accurate canopy classifications in an open source framework. Need for an open source classification system arose during the creation of the Georgia canopy dataset as tools that were being used , ArcMap and Textron’s Feature Analyst, will be phased out within the next few years. Additionally need for open source arose out of the lack of insight to the algorithms that were being used by the software to process our data and no true method to tweak it to suit our needs.
At its core CanoClass is optimized to to solve canopy classification problems. It is designed to be data agnostic with batch processing functions created to work with NAIP imagery, as scalable processing for NAIP imagery is necessary.
Example NAIP
Example Output
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