def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Return Density')
self.group, self.i18n_group = self.trAlgorithm('Surface')
self.addParameter(
ParameterFile(self.INPUT,
self.tr('Input LAS layer'),
optional=False))
self.addParameter(
ParameterNumber(self.CELLSIZE, self.tr('Cellsize'), 0, None, 10.0))
self.addOutput(OutputFile(self.OUTPUT, self.tr('Output file')))
first = ParameterBoolean(
self.FIRST,
self.tr('Use only first returns when computing return counts'),
False)
first.isAdvanced = True
self.addParameter(first)
ascii = ParameterBoolean(
self.ASCII,
self.
tr('Output raster data in ASCII raster format instead of PLANS DTM format'
), False)
ascii.isAdvanced = True
self.addParameter(ascii)
class_var = ParameterString(self.CLASS, self.tr('LAS class'), '',
False, True)
class_var.isAdvanced = True
self.addParameter(class_var)
self.addAdvancedModifiers()
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Tree Segmentation')
self.group, self.i18n_group = self.trAlgorithm('Points')
self.addParameter(ParameterFile(
self.INPUT, self.tr('Input Canopy Height Model (in PLANS DTM format)'),optional=False))
self.addParameter(ParameterNumber(
self.HTTH, self.tr('Minimum height for object segmentation'), 0, None, 2.0))
self.addOutput(OutputFile(
self.OUTPUT, self.tr('Base name for output files')))
ground = ParameterFile(
self.GROUND, self.tr('Ground file for height normalization'))
ground.isAdvanced = True
self.addParameter(ground)
height = ParameterBoolean(
self.HEIGHT, self.tr("Normalize height model using ground model (select if a ground file is provided)"), False)
height.isAdvanced = True
self.addParameter(height)
buff = ParameterNumber(
self.BUFF, self.tr('Add a buffer to the data extent when segmenting'), 0, None, 0.0)
buff.isAdvanced
self.addParameter(buff)
shape = ParameterBoolean(
self.SHAPE, self.tr('Create output shapefiles'), False)
shape.isAdvanced = True
self.addParameter(shape)
align = ParameterBoolean(
self.ALIGN, self.tr('Align output grid to the input extent'), False)
align.isAdvanced = True
self.addParameter(align)
self.addAdvancedModifiers()
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Topographic Metrics')
self.group, self.i18n_group = self.trAlgorithm('Points')
self.addParameter(ParameterFile(
self.INPUT, self.tr('Input PLANS DTM surface files'),optional=False))
self.addOutput(OutputFile(
self.OUTPUT, self.tr('Output file')))
self.addParameter(ParameterNumber(
self.CELLSIZE, self.tr('Size of the cell used to report topographic metrics'), 0, None, 5.0))
self.addParameter(ParameterNumber(
self.POINTSP, self.tr('Spacing for the 3 by 3 array of points used to compute the metrics'), 0, None, 0.0))
self.addParameter(ParameterNumber(
self.LATITUDE, self.tr('Latitude'), 2, None, 45.0))
self.addParameter(ParameterNumber(
self.TPI, self.tr('TPI window size'), 0, None, 5.0))
square = ParameterBoolean(
self.SQUARE, self.tr('Use a square window for TPI'), False)
square.isAdvanced = True
self.addParameter(square)
disk = ParameterBoolean(
self.DISK, self.tr('Do not load ground surface models into memory'), False)
disk.isAdvanced = True
self.addParameter(disk)
self.addAdvancedModifiers()
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Canopy Maxima')
self.group, self.i18n_group = self.trAlgorithm('Points')
self.addParameter(
ParameterFile(self.INPUT,
self.tr('Input PLANS DTM canopy height model'),
optional=False))
self.addParameter(
ParameterFile(self.GROUND,
self.tr('Input ground PLANS DTM layer')))
self.addParameter(
ParameterNumber(
self.THRESHOLD,
self.tr('Limit analysis to areas above this height threshold'),
0, None, 10.0))
self.addParameter(
ParameterNumber(self.PARAM_A,
self.tr('Variable window size: parameter A'), 0,
None, 2.51503))
self.addParameter(
ParameterNumber(self.PARAM_C, self.tr('Parameter C'), 0, None,
0.00901))
self.addOutput(
OutputFile(self.OUTPUT, self.tr('Output file with maxima'), 'csv'))
summary = ParameterBoolean(self.SUMMARY,
self.tr('Tree height summary statistics'),
False)
summary.isAdvanced = True
self.addParameter(summary)
shape = ParameterBoolean(self.SHAPE,
self.tr('Create output shapefiles'), False)
shape.isAdvanced = True
self.addParameter(shape)
self.addAdvancedModifiers()
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Merge PLANS DTM files')
self.group, self.i18n_group = self.trAlgorithm('Points')
self.addParameter(
ParameterFile(self.INPUT,
self.tr('Input PLANS DTM files'),
optional=False))
self.addOutput(OutputFile(self.OUTPUT, self.tr('Output merged file')))
cellsize = ParameterNumber(
self.CELLSIZE,
self.tr('Resample the input DTM data to the following cellsize'),
0, None, 0.0)
cellsize.isAdvanced = True
self.addParameter(cellsize)
extent = ParameterBoolean(
self.EXTENT,
self.tr('Preserve the exact extent of the input models'), False)
extent.isAdvanced = True
self.addParameter(extent)
disk = ParameterBoolean(
self.DISK,
self.
tr('Merge the files to a disk file. USE ONLY IF DEFAULT METHOD FAILS'
), False)
disk.isAdvanced = True
self.addParameter(disk)
self.addAdvancedModifiers()
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Cloud Metrics')
self.group, self.i18n_group = self.trAlgorithm('Points')
self.addParameter(
ParameterFile(self.INPUT,
self.tr('Input LAS layer'),
optional=False))
self.addOutput(
OutputFile(self.OUTPUT,
self.tr('Output file with tabular metric information'),
'csv'))
above = ParameterNumber(
self.ABOVE,
self.tr(
'Compute cover statistics above the following heightbreak:'),
0, None, 0.0)
above.isAdvanced = True
self.addParameter(above)
firstImpulse = ParameterBoolean(self.FIRSTIMPULSE,
self.tr('First Impulse'), False)
firstImpulse.isAdvanced = True
self.addParameter(firstImpulse)
firstReturn = ParameterBoolean(self.FIRSTRETURN,
self.tr('First Return'), False)
firstReturn.isAdvanced = True
self.addParameter(firstReturn)
minht = ParameterNumber(
self.MINHT, self.tr('Use only returns above this minimum height:'),
0, None, 0.0)
minht.isAdvanced = True
self.addParameter(minht)
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Canopy Model')
self.group, self.i18n_group = self.trAlgorithm('Points')
self.addParameter(
ParameterFile(self.INPUT,
self.tr('Input LAS layer'),
optional=False))
self.addParameter(
ParameterNumber(self.CELLSIZE, self.tr('Cell Size'), 0, None,
10.0))
self.addParameter(
ParameterSelection(self.XYUNITS, self.tr('XY Units'), self.UNITS))
self.addParameter(
ParameterSelection(self.ZUNITS, self.tr('Z Units'), self.UNITS))
self.addOutput(
OutputFile(self.OUTPUT_DTM, self.tr('.dtm output surface'), 'dtm'))
ground = ParameterFile(self.GROUND,
self.tr('Input ground PLANS DTM layer'), False,
True)
ground.isAdvanced = True
self.addParameter(ground)
median = ParameterString(self.MEDIAN, self.tr('Median'), '', False,
True)
median.isAdvanced = True
self.addParameter(median)
smooth = ParameterString(self.SMOOTH, self.tr('Smooth'), '', False,
True)
smooth.isAdvanced = True
self.addParameter(smooth)
class_var = ParameterString(self.CLASS,
self.tr('Select specific class'), '',
False, True)
class_var.isAdvanced = True
self.addParameter(class_var)
ret_num = ParameterString(self.RETURN,
self.tr('Select specific return'), '', False,
True)
ret_num.isAdvanced = True
self.addParameter(ret_num)
slope = ParameterBoolean(self.SLOPE, self.tr('Calculate slope'), False)
slope.isAdvanced = True
self.addParameter(slope)
aspec = ParameterBoolean(self.ASPECT, self.tr('Calculate aspect'),
False)
aspec.isAdvanced = True
self.addParameter(aspect)
self.addParameter(
ParameterBoolean(self.ASCII, self.tr('Add an ASCII output'),
False))
self.addAdvancedModifiers()
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm("Grid Surface Create")
self.group, self.i18n_group = self.trAlgorithm("Surface")
self.addParameter(ParameterFile(self.INPUT, self.tr("Input LAS layer")))
self.addParameter(ParameterNumber(self.CELLSIZE, self.tr("Cellsize"), 0, None, 10.0))
self.addParameter(ParameterSelection(self.XYUNITS, self.tr("XY Units"), self.UNITS))
self.addParameter(ParameterSelection(self.ZUNITS, self.tr("Z Units"), self.UNITS))
self.addOutput(OutputFile(self.OUTPUT_DTM, self.tr("DTM Output Surface"), "dtm"))
spike = ParameterString(self.SPIKE, self.tr("Spike (set blank if not used)"), "", False, True)
spike.isAdvanced = True
self.addParameter(spike)
median = ParameterString(self.MEDIAN, self.tr("Median"), "", False, True)
median.isAdvanced = True
self.addParameter(median)
smooth = ParameterString(self.SMOOTH, self.tr("Smooth"), "", False, True)
smooth.isAdvanced = True
self.addParameter(smooth)
slope = ParameterString(self.SLOPE, self.tr("Slope"), "", False, True)
slope.isAdvanced = True
self.addParameter(slope)
minimum = ParameterBoolean(self.MINIMUM, self.tr("Minimum (set blank if not used)"), False)
minimum.isAdvanced = True
self.addParameter(minimum)
class_var = ParameterString(self.CLASS, self.tr("Class(es)"), 2, False, True)
class_var.isAdvanced = True
self.addParameter(class_var)
advance_modifiers = ParameterString(self.ADVANCED_MODIFIERS, self.tr("Additional modifiers"), "", False, True)
advance_modifiers.isAdvanced = True
self.addParameter(advance_modifiers)
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('IntensityImage')
self.group, self.i18n_group = self.trAlgorithm('Points')
self.addParameter(
ParameterFile(self.INPUT, self.tr('Input file'), optional=False))
self.addParameter(
ParameterBoolean(self.ALLRET,
self.tr('Use all returns instead of only first'),
False))
self.addParameter(
ParameterBoolean(
self.LOWEST,
self.
tr('Use the lowest return in pixel area to assign the intensity value'
), False))
self.addParameter(
ParameterBoolean(
self.HIST,
self.tr('Produce a CSV intensity histogram data file'), False))
self.addParameter(
ParameterNumber(self.PIXEL, self.tr('Pixel size'), 0, None, 1.0))
self.addParameter(
ParameterSelection(self.SWITCH, self.tr('Output format'),
['Bitmap', 'JPEG']))
falign = ParameterBoolean(
self.FALIGN,
self.tr('Force alignment to match other raster products'), False)
falign.isAdvanced = True
self.addParameter(falign)
self.addOutput(OutputFile(self.OUTPUT, 'Output image'))
self.addAdvancedModifiers()
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm("Canopy Model")
self.group, self.i18n_group = self.trAlgorithm("Points")
self.addParameter(ParameterFile(self.INPUT, self.tr("Input LAS layer")))
self.addParameter(ParameterNumber(self.CELLSIZE, self.tr("Cellsize"), 0, None, 10.0))
self.addParameter(ParameterSelection(self.XYUNITS, self.tr("XY Units"), self.UNITS))
self.addParameter(ParameterSelection(self.ZUNITS, self.tr("Z Units"), self.UNITS))
self.addOutput(OutputFile(self.OUTPUT_DTM, self.tr(".dtm output surface"), "dtm"))
ground = ParameterFile(self.GROUND, self.tr("Input ground DTM layer"), False, True)
ground.isAdvanced = True
self.addParameter(ground)
median = ParameterString(self.MEDIAN, self.tr("Median"), "", False, True)
median.isAdvanced = True
self.addParameter(median)
smooth = ParameterString(self.SMOOTH, self.tr("Smooth"), "", False, True)
smooth.isAdvanced = True
self.addParameter(smooth)
class_var = ParameterString(self.CLASS, self.tr("Class"), "", False, True)
class_var.isAdvanced = True
self.addParameter(class_var)
slope = ParameterBoolean(self.SLOPE, self.tr("Calculate slope"), False)
slope.isAdvanced = True
self.addParameter(slope)
self.addParameter(ParameterBoolean(self.ASCII, self.tr("Add an ASCII output"), False))
self.addAdvancedModifiers()
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Clip Data')
self.group, self.i18n_group = self.trAlgorithm('Points')
self.addParameter(
ParameterFile(self.INPUT,
self.tr('Input LAS layer'),
optional=False))
self.addParameter(
ParameterExtent(self.EXTENT, self.tr('Extent'), optional=False))
self.addParameter(
ParameterSelection(self.SHAPE, self.tr('Shape of the sample area'),
['Rectangle', 'Circle']))
self.addOutput(
OutputFile(self.OUTPUT, self.tr('Output clipped LAS file')))
dtm = ParameterFile(self.DTM,
self.tr('Ground file for height normalization'))
dtm.isAdvanced = True
self.addParameter(dtm)
height = ParameterBoolean(
self.HEIGHT,
self.
tr("Convert point elevations into heights above ground (used with the above command)"
), False)
height.isAdvanced = True
self.addParameter(height)
self.addAdvancedModifiers()
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm("Grid Metrics")
self.group, self.i18n_group = self.trAlgorithm("Points")
self.addParameter(ParameterFile(self.INPUT, self.tr("Input LAS layer")))
self.addParameter(ParameterFile(self.GROUND, self.tr("Input ground DTM layer")))
self.addParameter(ParameterNumber(self.HEIGHT, self.tr("Height break")))
self.addParameter(ParameterNumber(self.CELLSIZE, self.tr("Cell Size")))
self.addOutput(OutputFile(self.OUTPUT_CSV_ELEVATION, self.tr("Output table with grid metrics")))
output_csv_intensity = OutputFile(self.OUTPUT_CSV_INTENSITY, self.tr("OUTPUT CSV INTENSITY"))
output_csv_intensity.hidden = True
self.addOutput(output_csv_intensity)
output_txt_elevation = OutputFile(self.OUTPUT_TXT_ELEVATION, self.tr("OUTPUT CSV INTENSITY"))
output_txt_elevation.hidden = True
self.addOutput(output_txt_elevation)
output_txt_intensity = OutputFile(self.OUTPUT_TXT_INTENSITY, self.tr("OUTPUT CSV INTENSITY"))
output_txt_intensity.hidden = True
self.addOutput(output_txt_intensity)
outlier = ParameterString(self.OUTLIER, self.tr("Outlier:low,high"), "", False, True)
outlier.isAdvanced = True
self.addParameter(outlier)
first = ParameterBoolean(self.FIRST, self.tr("First"), False)
first.isAdvanced = True
self.addParameter(first)
minht = ParameterString(self.MINHT, self.tr("Htmin"), "", False, True)
minht.isAdvanced = True
self.addParameter(minht)
class_var = ParameterString(self.CLASS, self.tr("Class (set blank if not used)"), "", False, True)
class_var.isAdvanced = True
self.addParameter(class_var)
def defineCharacteristics(self):
self.name = 'Grid Surface Create'
self.group = 'Surface'
self.addParameter(ParameterFile(self.INPUT, 'Input las layer'))
self.addParameter(ParameterNumber(self.CELLSIZE, 'Cellsize', 0, None, 10.0))
self.addParameter(ParameterSelection(self.XYUNITS, 'XY Units', self.UNITS))
self.addParameter(ParameterSelection(self.ZUNITS, 'Z Units', self.UNITS))
self.addOutput(OutputFile(self.OUTPUT_DTM, 'DTM Output Surface', 'dtm'))
spike = ParameterString(self.SPIKE, 'Spike (set blank if not used)', '', False, True)
spike.isAdvanced = True
self.addParameter(spike)
median = ParameterString(self.MEDIAN, 'Median', '', False, True)
median.isAdvanced = True
self.addParameter(median)
smooth = ParameterString(self.SMOOTH, 'Smooth', '', False, True)
smooth.isAdvanced = True
self.addParameter(smooth)
slope = ParameterString(self.SLOPE, 'Slope', '', False, True)
slope.isAdvanced = True
self.addParameter(slope)
minimum = ParameterBoolean(self.MINIMUM, 'Minimum (set blank if not used)', False)
minimum.isAdvanced = True
self.addParameter(minimum)
class_var = ParameterString(self.CLASS, 'Class(es)', 2, False, True)
class_var.isAdvanced = True
self.addParameter(class_var)
advance_modifiers = ParameterString(self.ADVANCED_MODIFIERS, 'Additional modifiers', '', False, True)
advance_modifiers.isAdvanced = True
self.addParameter(advance_modifiers)
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Grid Surface Create')
self.group, self.i18n_group = self.trAlgorithm('Surface')
self.addParameter(
ParameterFile(self.INPUT,
self.tr('Input LAS layer'),
optional=False))
self.addParameter(
ParameterNumber(self.CELLSIZE, self.tr('Cell Size'), 0, None,
10.0))
self.addParameter(
ParameterSelection(self.XYUNITS, self.tr('XY Units'), self.UNITS))
self.addParameter(
ParameterSelection(self.ZUNITS, self.tr('Z Units'), self.UNITS))
self.addOutput(
OutputFile(self.OUTPUT_DTM, self.tr('DTM Output Surface'), 'dtm'))
spike = ParameterNumber(
self.SPIKE,
self.
tr('Filter final surface to remove spikes with slopes greater than # percent'
), 0, None, 0.0)
spike.isAdvanced = True
self.addParameter(spike)
median = ParameterNumber(
self.MEDIAN,
self.tr(
'Apply median filter to model using # by # neighbor window'),
0, None, 0.0)
median.isAdvanced = True
self.addParameter(median)
smooth = ParameterNumber(
self.SMOOTH,
self.tr('Apply mean filter to model using # by # neighbor window'),
0, None, 0.0)
smooth.isAdvanced = True
self.addParameter(smooth)
slope = ParameterNumber(
self.SLOPE,
self.
tr('Filter areas from the surface with slope greater than # percent'
), 0, None, 0.0)
slope.isAdvanced = True
self.addParameter(slope)
minimum = ParameterBoolean(
self.MINIMUM,
self.tr(
'Use the lowest point in each cell as the surface elevation'),
False)
minimum.isAdvanced = True
self.addParameter(minimum)
class_var = ParameterString(self.CLASS, self.tr('Class(es)'), '',
False, True)
class_var.isAdvanced = True
self.addParameter(class_var)
advance_modifiers = ParameterString(self.ADVANCED_MODIFIERS,
self.tr('Additional modifiers'),
'', False, True)
advance_modifiers.isAdvanced = True
self.addParameter(advance_modifiers)
def defineCharacteristics(self):
self.name = 'Cloud Metrics'
self.group = 'Points'
self.addParameter(ParameterFile(self.INPUT, 'Input las layer'))
self.addOutput(OutputFile(self.OUTPUT, 'Output file with tabular metric information', 'dtm'))
above = ParameterString(self.ABOVE, 'Above', '', False)
above.isAdvanced = True
self.addParameter(above)
firstImpulse = ParameterBoolean(self.FIRSTIMPULSE, 'First Impulse', False)
firstImpulse.isAdvanced = True
self.addParameter(firstImpulse)
firstReturn = ParameterBoolean(self.FIRSTRETURN, 'First Return', False)
firstReturn.isAdvanced = True
self.addParameter(firstReturn)
htmin = ParameterString(self.HTMIN, 'Htmin', '', False, True)
htmin.isAdvanced = True
self.addParameter(htmin)
def defineCharacteristics(self):
self.name = 'Cloud Metrics'
self.group = 'Points'
self.addParameter(ParameterFile(self.INPUT, 'Input las layer'))
self.addOutput(
OutputFile(self.OUTPUT,
'Output file with tabular metric information', 'dtm'))
above = ParameterString(self.ABOVE, 'Above', '', False)
above.isAdvanced = True
self.addParameter(above)
firstImpulse = ParameterBoolean(self.FIRSTIMPULSE, 'First Impulse',
False)
firstImpulse.isAdvanced = True
self.addParameter(firstImpulse)
firstReturn = ParameterBoolean(self.FIRSTRETURN, 'First Return', False)
firstReturn.isAdvanced = True
self.addParameter(firstReturn)
htmin = ParameterString(self.HTMIN, 'Htmin', '', False, True)
htmin.isAdvanced = True
self.addParameter(htmin)
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Grid Surface Stats')
self.group, self.i18n_group = self.trAlgorithm('Surface')
self.addParameter(
ParameterFile(self.INPUT,
self.tr('Input PLANS DTM canopy height model'),
optional=False))
self.addParameter(
ParameterNumber(self.SAFACT,
self.tr('Multiplier for outputfile cell size'), 0,
None, 1.0))
self.addOutput(OutputFile(self.OUTPUT, self.tr('Output file')))
area = ParameterBoolean(
self.AREA,
self.
tr('Compute the surface area of inputfile instead of the surface area divided by the flat cell area'
), False)
area.isAdvanced = True
self.addParameter(area)
ascii = ParameterBoolean(
self.ASCII,
self.
tr('Output all files in ASCII raster format instead of PLANS DTM ones'
), False)
ascii.isAdvanced = True
self.addParameter(ascii)
svonly = ParameterBoolean(
self.SVONLY,
self.tr('Output only the surface volume metric layer'), False)
svonly.isAdvanced = True
self.addParameter(svonly)
ground = ParameterFile(
self.GROUND,
self.
tr('Use the specified surface model to represent the ground surface'
), False, True)
ground.isAdvanced = True
self.addParameter(ground)
self.addAdvancedModifiers()
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Cloud Metrics')
self.group, self.i18n_group = self.trAlgorithm('Points')
self.addParameter(ParameterFile(
self.INPUT, self.tr('Input LAS layer')))
self.addOutput(OutputFile(
self.OUTPUT, self.tr('Output file with tabular metric information'), 'csv'))
above = ParameterString(self.ABOVE, self.tr('Above'), '', False)
above.isAdvanced = True
self.addParameter(above)
firstImpulse = ParameterBoolean(
self.FIRSTIMPULSE, self.tr('First Impulse'), False)
firstImpulse.isAdvanced = True
self.addParameter(firstImpulse)
firstReturn = ParameterBoolean(
self.FIRSTRETURN, self.tr('First Return'), False)
firstReturn.isAdvanced = True
self.addParameter(firstReturn)
htmin = ParameterString(self.HTMIN, self.tr('Htmin'), '', False, True)
htmin.isAdvanced = True
self.addParameter(htmin)
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Cloud Metrics')
self.group, self.i18n_group = self.trAlgorithm('Points')
self.addParameter(ParameterFile(
self.INPUT, self.tr('Input LAS layer')))
self.addOutput(OutputFile(
self.OUTPUT, self.tr('Output file with tabular metric information'), 'csv'))
above = ParameterString(self.ABOVE, self.tr('Above'), '', False)
above.isAdvanced = True
self.addParameter(above)
firstImpulse = ParameterBoolean(
self.FIRSTIMPULSE, self.tr('First Impulse'), False)
firstImpulse.isAdvanced = True
self.addParameter(firstImpulse)
firstReturn = ParameterBoolean(
self.FIRSTRETURN, self.tr('First Return'), False)
firstReturn.isAdvanced = True
self.addParameter(firstReturn)
htmin = ParameterString(self.HTMIN, self.tr('Htmin'), '', False, True)
htmin.isAdvanced = True
self.addParameter(htmin)
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Grid Metrics')
self.group, self.i18n_group = self.trAlgorithm('Points')
self.addParameter(ParameterFile(self.INPUT,
self.tr('Input LAS layer')))
self.addParameter(
ParameterFile(self.GROUND, self.tr('Input ground DTM layer')))
self.addParameter(ParameterNumber(self.HEIGHT,
self.tr('Height break')))
self.addParameter(ParameterNumber(self.CELLSIZE, self.tr('Cellsize')))
self.addOutput(
OutputFile(self.OUTPUT_CSV_ELEVATION,
self.tr('Output table with grid metrics')))
output_csv_intensity = OutputFile(self.OUTPUT_CSV_INTENSITY,
self.tr('OUTPUT CSV INTENSITY'))
output_csv_intensity.hidden = True
self.addOutput(output_csv_intensity)
output_txt_elevation = OutputFile(self.OUTPUT_TXT_ELEVATION,
self.tr('OUTPUT CSV INTENSITY'))
output_txt_elevation.hidden = True
self.addOutput(output_txt_elevation)
output_txt_intensity = OutputFile(self.OUTPUT_TXT_INTENSITY,
self.tr('OUTPUT CSV INTENSITY'))
output_txt_intensity.hidden = True
self.addOutput(output_txt_intensity)
outlier = ParameterString(self.OUTLIER, self.tr('Outlier:low,high'),
'', False, True)
outlier.isAdvanced = True
self.addParameter(outlier)
first = ParameterBoolean(self.FIRST, self.tr('First'), False)
first.isAdvanced = True
self.addParameter(first)
minht = ParameterString(self.MINHT, self.tr('Htmin'), '', False, True)
minht.isAdvanced = True
self.addParameter(minht)
class_var = ParameterString(self.CLASS,
self.tr('Class (set blank if not used)'),
'', False, True)
class_var.isAdvanced = True
self.addParameter(class_var)
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm("Clip Data")
self.group, self.i18n_group = self.trAlgorithm("Points")
self.addParameter(ParameterFile(self.INPUT, self.tr("Input LAS layer")))
self.addParameter(ParameterExtent(self.EXTENT, self.tr("Extent"), optional=False))
self.addParameter(ParameterSelection(self.SHAPE, self.tr("Shape"), ["Rectangle", "Circle"]))
self.addOutput(OutputFile(self.OUTPUT, self.tr("Output clipped LAS file")))
dtm = ParameterFile(self.DTM, self.tr("Ground file for height normalization"))
dtm.isAdvanced = True
self.addParameter(dtm)
height = ParameterBoolean(
self.HEIGHT,
self.tr("Convert point elevations into heights above ground (used with the above command)"),
False,
)
height.isAdvanced = True
self.addParameter(height)
self.addAdvancedModifiers()
def defineCharacteristics(self):
self.name = 'Grid Metrics'
self.group = 'Points'
self.addParameter(ParameterFile(
self.INPUT, self.tr('Input las layer')))
self.addParameter(ParameterFile(
self.GROUND, self.tr('Input ground DTM layer')))
self.addParameter(ParameterNumber(
self.HEIGHT, self.tr('Height break')))
self.addParameter(ParameterNumber(
self.CELLSIZE, self.tr('Cellsize')))
self.addOutput(OutputFile(
self.OUTPUT_CSV_ELEVATION, self.tr('Output table with grid metrics')))
output_csv_intensity = OutputFile(
self.OUTPUT_CSV_INTENSITY, self.tr('OUTPUT CSV INTENSITY'))
output_csv_intensity.hidden = True
self.addOutput(output_csv_intensity)
output_txt_elevation = OutputFile(
self.OUTPUT_TXT_ELEVATION, self.tr('OUTPUT CSV INTENSITY'))
output_txt_elevation.hidden = True
self.addOutput(output_txt_elevation)
output_txt_intensity = OutputFile(
self.OUTPUT_TXT_INTENSITY, self.tr('OUTPUT CSV INTENSITY'))
output_txt_intensity.hidden = True
self.addOutput(output_txt_intensity)
outlier = ParameterString(
self.OUTLIER, self.tr('Outlier:low,high'), '', False, True)
outlier.isAdvanced = True
self.addParameter(outlier)
first = ParameterBoolean(self.FIRST, self.tr('First'), False)
first.isAdvanced = True
self.addParameter(first)
minht = ParameterString(self.MINHT, self.tr('Htmin'), '', False, True)
minht.isAdvanced = True
self.addParameter(minht)
class_var = ParameterString(
self.CLASS, self.tr('Class (set blank if not used)'), '', False, True)
class_var.isAdvanced = True
self.addParameter(class_var)
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Clip Data')
self.group, self.i18n_group = self.trAlgorithm('Points')
self.addParameter(ParameterFile(
self.INPUT, self.tr('Input LAS layer')))
self.addParameter(ParameterExtent(self.EXTENT, self.tr('Extent')))
self.addParameter(ParameterSelection(
self.SHAPE, self.tr('Shape'), ['Rectangle', 'Circle']))
self.addOutput(OutputFile(
self.OUTPUT, self.tr('Output clipped LAS file')))
dtm = ParameterFile(
self.DTM, self.tr('Ground file for height normalization'))
dtm.isAdvanced = True
self.addParameter(dtm)
height = ParameterBoolean(
self.HEIGHT, self.tr("Convert point elevations into heights above ground (used with the above command)"), False)
height.isAdvanced = True
self.addParameter(height)
self.addAdvancedModifiers()
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Merge ASCII files')
self.group, self.i18n_group = self.trAlgorithm('Points')
self.addParameter(
ParameterFile(self.INPUT,
self.tr('Input ASCII files'),
optional=False))
self.addOutput(OutputFile(self.OUTPUT, self.tr('Output file'), 'asc'))
overl = ParameterString(
self.OVERL, self.tr('Specify how overlap areas should be treated'),
'', False, True)
overl.isAdvanced = True
self.addParameter(overl)
comp = ParameterBoolean(
self.COMP,
self.tr(
'Compare values in cells common to two or more input files'),
False)
comp.isAdvanced = True
self.addParameter(comp)
self.addAdvancedModifiers()
def defineCharacteristics(self):
self.name, self.i18n_name = self.trAlgorithm('Canopy Model')
self.group, self.i18n_group = self.trAlgorithm('Points')
self.addParameter(ParameterFile(
self.INPUT, self.tr('Input LAS layer')))
self.addParameter(ParameterNumber(
self.CELLSIZE, self.tr('Cell Size'), 0, None, 10.0))
self.addParameter(ParameterSelection(
self.XYUNITS, self.tr('XY Units'), self.UNITS))
self.addParameter(ParameterSelection(
self.ZUNITS, self.tr('Z Units'), self.UNITS))
self.addOutput(OutputFile(
self.OUTPUT_DTM, self.tr('.dtm output surface'), 'dtm'))
ground = ParameterFile(
self.GROUND, self.tr('Input ground DTM layer'), False, True)
ground.isAdvanced = True
self.addParameter(ground)
median = ParameterString(
self.MEDIAN, self.tr('Median'), '', False, True)
median.isAdvanced = True
self.addParameter(median)
smooth = ParameterString(
self.SMOOTH, self.tr('Smooth'), '', False, True)
smooth.isAdvanced = True
self.addParameter(smooth)
class_var = ParameterString(
self.CLASS, self.tr('Class'), '', False, True)
class_var.isAdvanced = True
self.addParameter(class_var)
slope = ParameterBoolean(
self.SLOPE, self.tr('Calculate slope'), False)
slope.isAdvanced = True
self.addParameter(slope)
self.addParameter(ParameterBoolean(
self.ASCII, self.tr('Add an ASCII output'), False))
self.addAdvancedModifiers()
