pktools  2.6.7
Processing Kernel for geospatial data
pklas2img.py
1 # -*- coding: utf-8 -*-
2 
3 """
4 ***************************************************************************
5  pklas2img.py
6  ---------------------
7  Date : April 2015
8  Copyright : (C) 2015 by Pieter Kempeneers
9  Email : kempenep at gmail dot com
10 ***************************************************************************
11 * *
12 * This program is free software; you can redistribute it and/or modify *
13 * it under the terms of the GNU General Public License as published by *
14 * the Free Software Foundation; either version 2 of the License, or *
15 * (at your option) any later version. *
16 * *
17 ***************************************************************************
18 """
19 
20 __author__ = 'Pieter Kempeneers'
21 __date__ = 'April 2015'
22 __copyright__ = '(C) 2015, Pieter Kempeneers'
23 # This will get replaced with a git SHA1 when you do a git archive
24 __revision__ = '$Format:%H$'
25 
26 import os
27 from pktoolsUtils import pktoolsUtils
28 from pktoolsAlgorithm import pktoolsAlgorithm
29 from processing.core.parameters import ParameterMultipleInput
30 from processing.core.parameters import ParameterRaster
31 from processing.core.parameters import ParameterFile
32 from processing.core.outputs import OutputRaster
33 from processing.core.parameters import ParameterSelection
34 from processing.core.parameters import ParameterNumber
35 from processing.core.parameters import ParameterString
36 from processing.core.parameters import ParameterBoolean
37 from processing.core.parameters import ParameterExtent
38 
39 class pklas2img(pktoolsAlgorithm):
40 
41  INPUT = "INPUT"
42  OUTPUT = "OUTPUT"
43  ATTRIBUTE_OPTIONS = ["z","intensity", "return", "nreturn"]
44  COMPOSITE_OPTIONS = ["last", "min", "max", "absmin", "absmax", "median", "mean", "sum", "first", "profile", "percentile", "height", "values", "percentile", "number"]
45  FILTER_OPTIONS = ["all","first","last","single","multiple"]
46 
47  ATTRIBUTE = "ATTRIBUTE"
48  COMPOSITE = "COMPOSITE"
49  FILTER = "FILTER"
50 
51  PERCENTILE = "PERCENTILE"
52  DX = "DX"
53  DY = "DY"
54 # PROJWIN = 'PROJWIN'
55  NODATA = "NODATA"
56  RTYPE = 'RTYPE'
57  TYPE = ['Float32','Byte','Int16','UInt16','UInt32','Int32','Float64','CInt16','CInt32','CFloat32','CFloat64']
58  EXTRA = 'EXTRA'
59 
60  def cliName(self):
61  return "pklas2img"
62 
63  def defineCharacteristics(self):
64  self.name = "Create raster dataset from LAS(Z) data point cloud(s)"
65  self.group = "[pktools] LiDAR"
66 
67  self.addParameter(ParameterFile(self.INPUT, "Input LAS(Z) data set(s)", False, False))
68 
69  self.addParameter(ParameterSelection(self.ATTRIBUTE,"name of the point attribute to select",self.ATTRIBUTE_OPTIONS, 0))
70  self.addParameter(ParameterSelection(self.COMPOSITE,"composite for multiple points in cell",self.COMPOSITE_OPTIONS, 0))
71  self.addParameter(ParameterSelection(self.FILTER,"filter las points",self.FILTER_OPTIONS, 0))
72  self.addOutput(OutputRaster(self.OUTPUT, "Output raster data set"))
73  self.addParameter(ParameterSelection(self.RTYPE, 'Output raster type', self.TYPE, 0))
74  self.addParameter(ParameterNumber(self.PERCENTILE, "Percentile value used for rule percentile",0.0,100.0,95))
75  self.addParameter(ParameterNumber(self.DX, "Output resolution in x",0.0,None,1.0))
76  self.addParameter(ParameterNumber(self.DY, "Output resolution in y",0.0,None,1.0))
77  # self.addParameter(ParameterExtent(self.PROJWIN,
78  # 'Georeferenced boundingbox'))
79  self.addParameter(ParameterNumber(self.NODATA, "nodata value to put in image",0,None,0))
80  self.addParameter(ParameterString(self.EXTRA,
81  'Additional parameters', '-of GTiff', optional=True))
82 
83  def processAlgorithm(self, progress):
84  cliPath = '"' + os.path.join(pktoolsUtils.pktoolsPath(), self.cliName()) + '"'
85  commands = [cliPath]
86 
87  input=self.getParameterValue(self.INPUT)
88  inputFiles = input.split(';')
89  for inputFile in inputFiles:
90  commands.append('-i')
91  commands.append('"' + inputFile + '"')
92 
93  if self.TYPE[self.getParameterValue(self.RTYPE)] != "none":
94  commands.append('-ot')
95  commands.append(self.TYPE[self.getParameterValue(self.RTYPE)])
96 
97  output=self.getOutputValue(self.OUTPUT)
98  if output != "":
99  commands.append("-o")
100  commands.append('"' + output + '"')
101 
102  commands.append("-n")
103  commands.append(self.ATTRIBUTE_OPTIONS[self.getParameterValue(self.ATTRIBUTE)])
104  commands.append("-comp")
105  commands.append(self.COMPOSITE_OPTIONS[self.getParameterValue(self.COMPOSITE)])
106  commands.append("-fir")
107  commands.append(self.FILTER_OPTIONS[self.getParameterValue(self.FILTER)])
108  if self.getParameterValue(self.DX) != 0:
109  commands.append("-dx")
110  commands.append(str(self.getParameterValue(self.DX)))
111  if self.getParameterValue(self.DY) != 0:
112  commands.append("-dy")
113  commands.append(str(self.getParameterValue(self.DY)))
114  #projwin = str(self.getParameterValue(self.PROJWIN))
115  # regionCoords = projwin.split(',')
116  # commands.append('-ulx')
117  # commands.append(regionCoords[0])
118  # commands.append('-uly')
119  # commands.append(regionCoords[3])
120  # commands.append('-lrx')
121  # commands.append(regionCoords[1])
122  # commands.append('-lry')
123  # commands.append(regionCoords[2])
124  commands.append('-nodata')
125  commands.append(str(self.getParameterValue(self.NODATA)))
126 
127  extra = str(self.getParameterValue(self.EXTRA))
128  if len(extra) > 0:
129  commands.append(extra)
130 
131  pktoolsUtils.runpktools(commands, progress)