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canopy:user_manual [2020-02-18 06:36 am] hchocanopy:user_manual [2020-04-19 08:46 pm] (current) hcho
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 ====== CanoPy user manual ====== ====== CanoPy user manual ======
  
-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.+[[CanoPy:]] is the Python module for [[:GFC canopy assessment|the Georgia Canopy Analysis 2009 project]] sponsored by [[http://www.gfc.state.ga.us/|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]].+This document explains how to use the [[CanoPy:]] module. For technical details, please read the [[technical manual]]. Also refer to the [[tutorial]].
  
 ===== Authors ===== ===== Authors =====
  
-  * Huidae Cho, Ph.D. +  * [[:Huidae Cho]], Ph.D. 
-  * Owen Smith+  * [[:Owen Smith]]
  
 ===== Requirements ===== ===== Requirements =====
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 import sys import sys
 sys.path.append('C:/path/to/the/canopy/module') sys.path.append('C:/path/to/the/canopy/module')
-</code> 
-  - Import the canopy module<code python> 
 import canopy import canopy
 </code> </code>
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 </code> </code>
   - Reproject original NAIP QQ tiles to the target projection<code python>   - Reproject original NAIP QQ tiles to the target projection<code python>
-canopy.reproject_input_tiles(phyreg_ids)+canopy.reproject_naip_tiles(phyreg_ids)
 </code> </code>
   - Run trained AFE models to classify canopy and non-canopy cells   - Run trained AFE models to classify canopy and non-canopy cells
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 canopy.convert_afe_to_canopy_tiff(phyreg_ids) canopy.convert_afe_to_canopy_tiff(phyreg_ids)
 </code> </code>
- 
-===== TODOs ===== 
- 
-<todo @hcho>Upload sample data</todo> 
  
 {{tag>software}} {{tag>software}}
canopy/user_manual.1582032988.txt.gz · Last modified: 2020-02-18 06:36 am by hcho

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