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landcoverfraction_algorithm.py
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# -*- coding: utf-8 -*-
"""
/***************************************************************************
ProcessingUMEP
A QGIS plugin
UMEP for processing toolbox
Generated by Plugin Builder: http://g-sherman.github.io/Qgis-Plugin-Builder/
-------------------
begin : 2020-04-02
copyright : (C) 2020 by Fredrik Lindberg
email : [email protected]
***************************************************************************/
/***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************/
"""
__author__ = 'Fredrik Lindberg'
__date__ = '2020-04-02'
__copyright__ = '(C) 2020 by Fredrik Lindberg'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
from qgis.PyQt.QtCore import QCoreApplication, QVariant
from qgis.core import (QgsProcessing,
QgsProcessingAlgorithm,
QgsProcessingParameterString,
QgsProcessingParameterBoolean,
QgsProcessingParameterNumber,
QgsProcessingParameterFolderDestination,
QgsProcessingParameterRasterLayer,
QgsProcessingParameterEnum,
QgsProcessingParameterFeatureSource,
QgsProcessingParameterField,
QgsProcessingException,
QgsFeature,
QgsVectorFileWriter,
QgsVectorDataProvider,
QgsField)
from qgis.PyQt.QtGui import QIcon
from osgeo import gdal, ogr
from osgeo.gdalconst import *
import os
import numpy as np
import inspect
from pathlib import Path
import sys
from ..util import landCoverFractions_v2 as land
class ProcessingLandCoverFractionAlgorithm(QgsProcessingAlgorithm):
"""
This algorithm is a processing version of Land Cover Fraction Grid
"""
INPUT_POLYGONLAYER = 'INPUT_POLYGONLAYER'
ID_FIELD = 'ID_FIELD'
SERACH_METHOD = 'SEARCH_METHOD'
INPUT_DISTANCE = 'INPUT_DISTANCE'
INPUT_INTERVAL = 'INPUT_INTERVAL'
INPUT_LCGRID = 'INPUT_LCGRID'
TARGET_LC = 'TARGET_LC'
FILE_PREFIX = 'FILE_PREFIX'
OUTPUT_DIR = 'OUTPUT_DIR'
IGNORE_NODATA = 'IGNORE_NODATA'
ATTR_TABLE = 'ATTR_TABLE'
def initAlgorithm(self, config):
self.search = ((self.tr('Search throughout the grid extent (search distance not used)'), '0'),
(self.tr('Search from grid centroid'), '1'))
self.addParameter(QgsProcessingParameterFeatureSource(self.INPUT_POLYGONLAYER,
self.tr('Vector polygon grid'), [QgsProcessing.TypeVectorPolygon]))
self.addParameter(QgsProcessingParameterField(self.ID_FIELD,
self.tr('ID field'),'', self.INPUT_POLYGONLAYER, QgsProcessingParameterField.Numeric))
self.addParameter(QgsProcessingParameterEnum(self.SERACH_METHOD,
self.tr('Search method'),
options=[i[0] for i in self.search], defaultValue=0))
self.addParameter(QgsProcessingParameterNumber(self.INPUT_DISTANCE,
self.tr('Search distance from grid cell centroid (meter)'),
QgsProcessingParameterNumber.Integer,
QVariant(200), False, minValue=0))
self.addParameter(QgsProcessingParameterNumber(self.INPUT_INTERVAL,
self.tr('Wind direction search interval (degree)'),
QgsProcessingParameterNumber.Double,
QVariant(5), False, minValue=0.1, maxValue=360.))
self.addParameter(QgsProcessingParameterRasterLayer(self.INPUT_LCGRID,
self.tr('UMEP formatted land cover grid (see help for more info)'), None, False))
self.addParameter(QgsProcessingParameterString(self.FILE_PREFIX,
self.tr('File prefix')))
self.addParameter(QgsProcessingParameterBoolean(self.TARGET_LC,
self.tr("Calculate fractions for TARGET (9 classes instead of 7)"), defaultValue=False))
self.addParameter(QgsProcessingParameterBoolean(self.IGNORE_NODATA,
self.tr("Ignore NoData pixels"), defaultValue=True))
self.addParameter(QgsProcessingParameterBoolean(self.ATTR_TABLE,
self.tr("Add result to polygon grid attribute table"), defaultValue=False))
self.addParameter(QgsProcessingParameterFolderDestination(self.OUTPUT_DIR,
self.tr('Output folder')))
self.plugin_dir = os.path.dirname(__file__)
if not (os.path.isdir(self.plugin_dir + '/data')):
os.mkdir(self.plugin_dir + '/data')
self.dir_poly = self.plugin_dir + '/data/poly_temp.shp'
def processAlgorithm(self, parameters, context, feedback):
# InputParameters
inputPolygonlayer = self.parameterAsVectorLayer(parameters, self.INPUT_POLYGONLAYER, context)
idField = self.parameterAsFields(parameters, self.ID_FIELD, context)
searchMethod = self.parameterAsString(parameters, self.SERACH_METHOD, context)
inputDistance = self.parameterAsDouble(parameters, self.INPUT_DISTANCE, context)
inputInterval = self.parameterAsDouble(parameters, self.INPUT_INTERVAL, context)
dsmlayer = None
useTarget = self. parameterAsBool(parameters, self.TARGET_LC, context)
filePrefix = self.parameterAsString(parameters, self.FILE_PREFIX, context)
attrTable = self.parameterAsBool(parameters, self.ATTR_TABLE, context)
ignoreNodata = self.parameterAsBool(parameters, self.IGNORE_NODATA, context)
outputDir = self.parameterAsString(parameters, self.OUTPUT_DIR, context)
if parameters['OUTPUT_DIR'] == 'TEMPORARY_OUTPUT':
if not (os.path.isdir(outputDir)):
os.mkdir(outputDir)
r = inputDistance
degree = float(inputInterval)
pre = filePrefix
imp_point = 0 # set to 1 when user for LCF point
imid = int(searchMethod)
# arrmat = np.empty((1, 8))
if useTarget:
iter = 9
header = 'Wd Paved Buildings EvergreenTrees DecidiousTrees Grass Baresoil Water IrrGrass Concrete'
numformat = '%3d %5.3f %5.3f %5.3f %5.3f %5.3f %5.3f %5.3f %5.3f %5.3f'
header2 = 'ID Paved Buildings EvergreenTrees DecidiousTrees Grass Baresoil Water IrrGrass Concrete'
numformat2 = '%3d %5.3f %5.3f %5.3f %5.3f %5.3f %5.3f %5.3f %5.3f %5.3f'
else:
iter = 7
header = 'Wd Paved Buildings EvergreenTrees DecidiousTrees Grass Baresoil Water'
numformat = '%3d %5.3f %5.3f %5.3f %5.3f %5.3f %5.3f %5.3f'
header2 = 'ID Paved Buildings EvergreenTrees DecidiousTrees Grass Baresoil Water'
numformat2 = '%3d %5.3f %5.3f %5.3f %5.3f %5.3f %5.3f %5.3f'
arrmat = np.empty((1, int(iter + 1)))
# temporary fix for mac, ISSUE #15
pf = sys.platform
if pf == 'darwin' or pf == 'linux2' or pf == 'linux':
if not os.path.exists(outputDir + '/' + pre):
os.makedirs(outputDir + '/' + pre)
#poly = inputPolygonlayer
vlayer = inputPolygonlayer
poly_field = idField
feedback.setProgressText("poly_field: " + str(poly_field))
prov = vlayer.dataProvider()
fields = prov.fields()
idx = vlayer.fields().indexFromName(poly_field[0])
#dir_poly = self.plugin_dir + '/data/poly_temp.shp'
nGrids = vlayer.featureCount()
index = 1
feedback.setProgressText("Number of grids to analyse: " + str(nGrids))
feedback.setProgressText("idx: " + str(idx))
dsmlayer = self.parameterAsRasterLayer(parameters, self.INPUT_LCGRID, context)
if dsmlayer is None:
raise QgsProcessingException("No valid building land cover raster layer is selected")
provider = dsmlayer.dataProvider()
filePath_dsm_build = str(provider.dataSourceUri())
for f in vlayer.getFeatures(): # looping through each grid polygon
feedback.setProgress(int((index * 100) / nGrids))
if feedback.isCanceled():
feedback.setProgressText("Calculation cancelled")
break
index += 1
attributes = f.attributes()
geometry = f.geometry()
feature = QgsFeature()
feature.setAttributes(attributes)
feature.setGeometry(geometry)
if imid == 1: # use center point
r = inputDistance
y = f.geometry().centroid().asPoint().y()
x = f.geometry().centroid().asPoint().x()
else:
r = 0 # Uses as info to separate from IMP point to grid
writer = QgsVectorFileWriter(self.dir_poly, "CP1250", fields, prov.wkbType(),
prov.crs(), "ESRI shapefile")
if writer.hasError() != QgsVectorFileWriter.NoError:
raise QgsProcessingException("Error when creating shapefile: ", str(writer.hasError()))
writer.addFeature(feature)
del writer
if imid == 1:
bbox = (x - r, y + r, x + r, y - r)
else:
# Remove gdalwarp cuttoline with gdal.Translate. Cut to envelope of polygon feature
VectorDriver = ogr.GetDriverByName("ESRI Shapefile")
Vector = VectorDriver.Open(self.dir_poly, 0) #self.dir_poly
layer = Vector.GetLayer()
feature = layer.GetFeature(0)
geom = feature.GetGeometryRef()
minX, maxX, minY, maxY = geom.GetEnvelope()
bbox = (minX, maxY, maxX, minY) # Reorder bbox to use with gdal_translate
Vector.Destroy()
# Remove gdalwarp with gdal.Translate
# added gdal.Warp() for irregular grids
bigraster = gdal.Open(filePath_dsm_build)
if imid == 1:
gdal.Translate(self.plugin_dir + '/data/clipdsm.tif', bigraster, projWin=bbox)
else:
clip_spec = gdal.WarpOptions(
format="GTiff",
cutlineDSName=self.dir_poly,
cropToCutline=True
)
gdal.Warp(self.plugin_dir + '/data/clipdsm.tif', bigraster, options=clip_spec)
bigraster = None
dataset = gdal.Open(self.plugin_dir + '/data/clipdsm.tif')
lcgrid = dataset.ReadAsArray().astype(float)
nd = dataset.GetRasterBand(1).GetNoDataValue()
nodata_test = (lcgrid == nd)
if ignoreNodata:
if np.sum(lcgrid) == (lcgrid.shape[0] * lcgrid.shape[1] * nd):
feedback.setProgressText("Grid " + str(f.attributes()[idx]) + " not calculated. Includes Only NoData Pixels")
cal = 0
else:
lcgrid[lcgrid == nd] = 0
feedback.setProgressText("Grid " + str(f.attributes()[idx]) + " being calculated.")
cal = 1
else:
if nodata_test.any():
feedback.setProgressText("Grid " + str(f.attributes()[idx]) + " not calculated. Includes NoData Pixels")
cal = 0
else:
cal = 1
feedback.setProgressText("Grid " + str(f.attributes()[idx]) + " being calculated.")
if cal == 1:
landcoverresult = land.landcover_v2(lcgrid, imid, degree, feedback, imp_point, iter)
landcoverresult = self.resultcheck(landcoverresult)
arr = np.concatenate((landcoverresult["deg"], landcoverresult["lc_frac"]), axis=1)
np.savetxt(outputDir + '/' + pre + '_' + 'LCFG_anisotropic_result_' + str(f.attributes()[idx]) + '.txt', arr,
fmt=numformat, delimiter=' ', header=header, comments='')
del arr
if useTarget:
arr2 = np.array([f.attributes()[idx], landcoverresult["lc_frac_all"][0, 0], landcoverresult["lc_frac_all"][0, 1],
landcoverresult["lc_frac_all"][0, 2], landcoverresult["lc_frac_all"][0, 3], landcoverresult["lc_frac_all"][0, 4],
landcoverresult["lc_frac_all"][0, 5], landcoverresult["lc_frac_all"][0, 6], landcoverresult["lc_frac_all"][0, 7],
landcoverresult["lc_frac_all"][0, 8]])
else:
arr2 = np.array([f.attributes()[idx], landcoverresult["lc_frac_all"][0, 0], landcoverresult["lc_frac_all"][0, 1],
landcoverresult["lc_frac_all"][0, 2], landcoverresult["lc_frac_all"][0, 3], landcoverresult["lc_frac_all"][0, 4],
landcoverresult["lc_frac_all"][0, 5], landcoverresult["lc_frac_all"][0, 6]])
arrmat = np.vstack([arrmat, arr2])
dataset = None
arrmatsave = arrmat[1: arrmat.shape[0], :]
np.savetxt(outputDir + '/' + pre + '_' + 'LCFG_isotropic.txt', arrmatsave,
fmt=numformat2, delimiter=' ', header=header2, comments='')
if attrTable:
feedback.setProgressText("Adding result to layer attribute table")
self.addattr(vlayer, arrmatsave, header, pre, feedback, idx)
return {self.OUTPUT_DIR: outputDir}
def addattr(self, vlayer, matdata, header, pre, feedback, idx):
current_index_length = len(vlayer.dataProvider().attributeIndexes())
caps = vlayer.dataProvider().capabilities()
if caps & QgsVectorDataProvider.AddAttributes:
line_split = header.split()
for x in range(1, len(line_split)):
vlayer.dataProvider().addAttributes([QgsField(pre + '_' + line_split[x], QVariant.Double)])
vlayer.commitChanges()
vlayer.updateFields()
attr_dict = {}
else:
raise QgsProcessingException("Vector Layer does not support adding attributes")
features = vlayer.getFeatures()
for f in features:
attr_dict.clear()
id = f.id()
wo = np.where(f.attributes()[idx] == matdata[:, 0])
if wo[0] >= 0:
for x in range(1, matdata.shape[1]):
attr_dict[current_index_length + x - 1] = float(matdata[wo[0], x])
vlayer.dataProvider().changeAttributeValues({id: attr_dict})
def resultcheck(self, landcoverresult):
total = 0.
arr = landcoverresult["lc_frac_all"]
for x in range(0, len(arr[0])):
total += arr[0, x]
if total != 1.0:
diff = total - 1.0
maxnumber = max(arr[0])
for x in range(0, len(arr[0])):
if maxnumber == arr[0, x]:
arr[0, x] -= diff
break
landcoverresult["lc_frac_all"] = arr
return landcoverresult
def name(self):
return 'Urban Land Cover: Land Cover Fraction (Grid)'
def displayName(self):
return self.tr(self.name())
def group(self):
return self.tr(self.groupId())
def groupId(self):
return 'Pre-Processor'
def shortHelpString(self):
return self.tr('The Land Cover Fraction (Grid) plugin calculates land cover fractions required for UMEP (see <i>Land Cover Reclassifier</i>) '
'from a point location based on a land cover raster grid. A land cover grid suitable for the processor in UMEP can be derived using '
'the <i>Land Cover Classifier</i>. The fraction will vary depending on what angle (wind direction) you are interested in. Thus, this plugin '
'is able to derive the land cover fractions for different directions. It is the same as the <i>Land Cover Fraction (Point)</i> except that '
'this plugin calculates the fractions for each polygon object in polygon vector layer. The polygons should preferable be squares but could '
'be any other regular shape. To create such a grid, built in functions in QGIS can be used (see <i>Vector geometry -> Research Tools -> Create Grid</i> in the '
'Processing Toolbox).\n'
'\n'
'Standard land cover classes in UMEP: \n'
'1. Paved, 2. Buildings, 3. Evergreen trees, 4. Deciduous trees, 5. Grass, 6. Bare Soil, 7. Water.\n'
'\n'
'Two more land cover classes is added when the tickbox "Calculate fractions for TARGET" is ticked in: 8. Grass (irrigated), 9. Concrete.\n'
'\n'
'<b>NOTE</b>: It is possible to use the 7 standard LC-classes for the TARGET land cover fractions. See <i>Pre-Processor>Urban Heat Island>TARGET Prepare</i> for mor info.'
'\n'
'--------------\n'
'Full manual available via the <b>Help</b>-button.')
def helpUrl(self):
url = "https://umep-docs.readthedocs.io/en/latest/pre-processor/Urban%20Land%20Cover%20Land%20Cover%20Fraction%20(Grid).html"
return url
def tr(self, string):
return QCoreApplication.translate('Processing', string)
def icon(self):
cmd_folder = Path(os.path.split(inspect.getfile(inspect.currentframe()))[0]).parent
icon = QIcon(str(cmd_folder) + "/icons/LandCoverFractionGridIcon.png")
return icon
def createInstance(self):
return ProcessingLandCoverFractionAlgorithm()