original_docstring: Identifies ground points within LiDAR dataset using a slope-based method.
  
          Keyword arguments:
  
          i -- Input LiDAR file. 
          output -- Output LiDAR file. 
          radius -- Search Radius. 
          slope_threshold -- Maximum inter-point slope to be considered an off-terrain point. 
          height_threshold -- Inter-point height difference to be considered an off-terrain point. 
          callback -- Custom functon for handling tool text outputs.
          
docstring: Identifies ground points within LiDAR dataset using a slope-based method.
  Keyword arguments.
  
  - Input LiDAR file.
  output -- Output LiDAR file.
  radius -- Search Radius.
  slope_threshold -- Maximum inter-point slope to be considered an off-terrain point.
  height_threshold -- Inter-point height difference to be considered an off-terrain point.
  callback -- Custom functon for handling tool text outputs.
docstring_tokens: Identifies ground points within LiDAR dataset using a slope - based method . Keyword arguments . - Input LiDAR file . output -- Output LiDAR file . radius -- Search Radius . slope_threshold -- Maximum inter - point slope to be considered an off - terrain point . height_threshold -- Inter - point height difference to be considered an off - terrain point . callback -- Custom functon for handling tool text outputs .
code: def lidar_ground_point_filter(self, i, output, radius=2.0, slope_threshold=45.0, height_threshold=1.0, callback=default_callback):
          """Identifies ground points within LiDAR dataset using a slope-based method.
  
          Keyword arguments:
  
          i -- Input LiDAR file. 
          output -- Output LiDAR file. 
          radius -- Search Radius. 
          slope_threshold -- Maximum inter-point slope to be considered an off-terrain point. 
          height_threshold -- Inter-point height difference to be considered an off-terrain point. 
          callback -- Custom functon for handling tool text outputs.
          """
          args = []
          args.append("--input='{}'".format(i))
          args.append("--output='{}'".format(output))
          args.append("--radius={}".format(radius))
          args.append("--slope_threshold={}".format(slope_threshold))
          args.append("--height_threshold={}".format(height_threshold))
          return self.run_tool('lidar_ground_point_filter', args, callback)
code_tokens: def lidar_ground_point_filter ( self , i , output , radius = 2.0 , slope_threshold = 45.0 , height_threshold = 1.0 , callback = default_callback ) : args = [ ] args . append ( "--input='{}'" . format ( i ) ) args . append ( "--output='{}'" . format ( output ) ) args . append ( "--radius={}" . format ( radius ) ) args . append ( "--slope_threshold={}" . format ( slope_threshold ) ) args . append ( "--height_threshold={}" . format ( height_threshold ) ) return self . run_tool ( 'lidar_ground_point_filter' , args , callback )
short_docstring: Identifies ground points within LiDAR dataset using a slope-based method.
short_docstring_tokens: Identifies ground points within LiDAR dataset using a slope - based method .
comment: """Identifies ground points within LiDAR dataset using a slope-based method.
  
          Keyword arguments:
  
          i -- Input LiDAR file. 
          output -- Output LiDAR file. 
          radius -- Search Radius. 
          slope_threshold -- Maximum inter-point slope to be considered an off-terrain point. 
          height_threshold -- Inter-point height difference to be considered an off-terrain point. 
          callback -- Custom functon for handling tool text outputs.
          """