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The Python module for the Georgia Canopy Analysis 2009 project sponsored by the Georgia Forestry Commission

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CanoPy

CanoPy is the Python module for the Georgia Canopy Analysis 2009 project sponsored by the Georgia Forestry Commission (GFC). For more details about this project including the user and technical manuals, please visit its wiki page.

Requirements

  • ArcGIS Desktop 10.x
  • ArcPy
  • Python 2 standard module: os
  • Feature Analyst (TM) 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.

Project team

  • Principal investigator: Huidae Cho, Ph.D., Assistant Professor of Geospatial Science and Computing, IESA, UNG
  • Owen Smith, Undergraduate Student, IESA, UNG (Phases 1, 1.5, and 2)
  • Jennifer McCollum, Undergraduate Student, IESA, UNG (Phase 1)

Acknowledgement

The work upon which this software is based was funded in whole or in part through an Urban and Community Forestry grant awarded by the Southern Region, State and Private Forestry, U.S. Forest Service and administered by the Georgia Forestry Commission.

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The Python module for the Georgia Canopy Analysis 2009 project sponsored by the Georgia Forestry Commission

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