CanoPy is the Python module for the Georgia Canopy Analysis 2009 project sponsored by the Georgia Forestry Commission (GFC). For further information about this project, please refer to the CanoPy page.

This document explains how to use the CanoPy module. For technical details, please read the technical manual. Also refer to the tutorial.

• Huidae Cho, Ph.D.
• Owen Smith

• ArcGIS Desktop 10.x
• ArcPy
• Python 2 standard module: os
• Feature Analyst™ by the Textron Systems
• Automated Feature Extraction (AFE) models trained using Feature Analyst

We are currently planning on developing a fully open source solution without using ArcGIS and Feature Analyst.

1. Clone the CanoPy GitHub repository

   git clone https://github.com/HuidaeCho/canopy.git

2. Copy canopy_config-example.py to canopy_config.py
3. Edit canopy_config.py to recognize your layers and folder structures
4. Start ArcMap
5. Add Physiographic_Districts_GA.shp. Its layer name is phyregs_layer in canopy_config.py
6. Add naip_ga_2009_1m_m4b.shp. Its layer name is naipqq_layer in canopy_config.py
7. Open the Python window from within ArcMap
8. Import the canopy module

   import sys
   sys.path.append('C:/path/to/the/canopy/module')
   import canopy

9. Assign physiographic region IDs to the naipqq layer

   canopy.assign_phyregs_to_naipqq()

10. Add physiographic region IDs to process to phyreg_ids

    phyreg_ids = [8, 7]

11. Reproject original NAIP QQ tiles to the target projection

    canopy.reproject_naip_tiles(phyreg_ids)

12. Run trained AFE models to classify canopy and non-canopy cells
13. Convert AFE output files to the final seamless canopy GeoTIFF file per physiographic region

    canopy.convert_afe_to_canopy_tiff(phyreg_ids)