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canopy:technical_manual [2020-02-11 10:00 am] hchocanopy:technical_manual [2020-04-19 08:47 pm] (current) hcho
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 ====== CanoPy technical manual ====== ====== CanoPy technical 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 outlines the uses and methodology of the functions contained within the [[CanoPy:]] module. To learn how to use this module, please read the [[user manual]].+This document outlines the uses and methodology of the functions contained within the [[CanoPy:]] module. To learn how to use this module, please read the [[user manual]]. Also refer to the [[tutorial]].
  
 ===== Authors ===== ===== Authors =====
  
-  * Owen Smith +  * [[:Owen Smith]] 
-  * Huidae Cho, Ph.D.+  * [[:Huidae Cho]], Ph.D.
  
 ===== Requirements ===== ===== Requirements =====
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   * Type: ''str''   * Type: ''str''
   * Snap raster to which all output tiles will be snapped   * Snap raster to which all output tiles will be snapped
-  * This input/output raster is used to snap NAIP tiles to a consistent grid system. If this file does not already exist, the filename part of ''snaprast_path'' must be ''r'' + the filename of an existing original NAIP tile so that ''canopy.reproject_input_tiles()'' can automatically create it based on the folder structure of the NAIP imagery data (''naip_path'').+  * This input/output raster is used to snap NAIP tiles to a consistent grid system. If this file does not already exist, the filename part of ''snaprast_path'' must be ''r'' + the filename of an existing original NAIP tile so that ''canopy.reproject_naip_tiles()'' can automatically create it based on the folder structure of the NAIP imagery data (''naip_path'').
   * Example: ''snaprast_path = '%s/Data/rm_3408504_nw_16_1_20090824.tif' % analysis_path''   * Example: ''snaprast_path = '%s/Data/rm_3408504_nw_16_1_20090824.tif' % analysis_path''
  
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   - All selections are cleared and each NAIP QQ polygon will contain the ''naip_phyregs_field'' filled with the IDs of physiographic regions that the QQ tile intersects.   - All selections are cleared and each NAIP QQ polygon will contain the ''naip_phyregs_field'' filled with the IDs of physiographic regions that the QQ tile intersects.
  
-==== reproject_input_tiles(phyreg_ids) ====+==== reproject_naip_tiles(phyreg_ids) ====
  
 This function reprojects and snaps the NAIP tiles that intersect selected physiographic regions. This function reprojects and snaps the NAIP tiles that intersect selected physiographic regions.
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   * ''results_path = canopy_config.results_path''   * ''results_path = canopy_config.results_path''
  
-==== generate_ground_truthing_points(phyreg_ids, point_density, max_points=400, min_points=200) ====+==== generate_gtpoints(phyreg_ids, point_density, max_points=400, min_points=200) ====
  
 This function generates randomized points for ground truthing with fields for corresponding years populated with the corresponding canopy value at each point. This function generates randomized points for ground truthing with fields for corresponding years populated with the corresponding canopy value at each point.
canopy/technical_manual.1581440402.txt.gz · Last modified: 2020-02-11 10:00 am by hcho

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