def calc_arvi(self):
r = QgsRasterCalculatorEntry()
r.ref = self.red.name() + '@1'
r.raster = self.red
r.bandNumber = 1
ir = QgsRasterCalculatorEntry()
ir.ref = self.nir.name() + '@2'
ir.raster = self.nir
ir.bandNumber = 1
b = QgsRasterCalculatorEntry()
b.ref = self.blue.name() + '@3'
b.raster = self.blue
b.bandNumber = 1
entries = list()
entries.append(r)
entries.append(ir)
entries.append(b)
expression = '({0} - ({1} - {3} * ({1} - {2}))) / ({0} + ({1} - {3} * ({1} - {2})))'.format(
ir.ref, r.ref, b.ref, str(self.a)
)
calc = QgsRasterCalculator(
expression,
self.output, "GTiff",
self.red.extent(), self.red.width(), self.red.height(),
entries
)
calc.processCalculation()
def lulc_study_area(self):
tempdir = self.gettempdir()
lulc_layer = self.lulc_layer()
study_area = self.study_layer()
# Get Study area layer info.
studylyrName = study_area.name()
entries = []
studyras = QgsRasterCalculatorEntry()
studyras.ref = studylyrName + '@1'
studyras.raster = study_area
studyras.bandNumber = 1
entries.append(studyras)
# Get lulc layer info.
lulcName = lulc_layer.name()
lulcras = QgsRasterCalculatorEntry()
lulcras.ref = lulcName + '@1'
lulcras.raster = lulc_layer
lulcras.bandNumber = 1
entries.append(lulcras)
formula = "\"" + studyras.ref + "\"" + ' * ' + "\"" + lulcras.ref + "\""
output_lulc_study = tempdir + "/%s_study.tif" % str(lulcName)
calc = QgsRasterCalculator(formula, output_lulc_study, 'GTiff',
study_area.extent(), study_area.width(),
study_area.height(), entries)
calc.processCalculation()
del entries
return output_lulc_study
def run(self):
"""
Start of calculation.
A GTiff-file is created in the process.
"""
self.LOGGER.debug("start NDVI calculation")
r = QgsRasterCalculatorEntry()
ir = QgsRasterCalculatorEntry()
r.raster = self.red_raster_layer
ir.raster = self.infrared_raster_layer
r.bandNumber = self.red_band_number
ir.bandNumber = self.infrared_band_number
r.ref = self.red_raster_layer.name() + "@" + str(self.red_band_number)
ir.ref = self.infrared_raster_layer.name() + "@" + str(
self.infrared_band_number)
references = (ir.ref, r.ref, ir.ref, r.ref)
formula_string = '("%s" - "%s") / ("%s" + "%s")' % references
output_format = "GTiff"
output_extent = self.red_raster_layer.extent()
n_output_columns = self.red_raster_layer.width()
n_output_rows = self.red_raster_layer.height()
raster_entries = [ir, r]
ndvi_raster_calculator = QgsRasterCalculator(
formula_string, self.output_file_name, output_format,
output_extent, n_output_columns, n_output_rows, raster_entries)
ndvi_raster_calculator.processCalculation()
self.finished.emit(self.output_file_name)
def processing_ndvi_calc(rLayer1, rLayer2, path):
"""
Older deprecated NDVI handler, This is simply the template for the monstrosity that the current one has become
:param rLayer1: rLayer 1 Object
:param rLayer2: rLayer 2 Object
:param path: Path to Output too
:return: None
"""
path = path
r1 = QgsRasterCalculatorEntry()
r2 = QgsRasterCalculatorEntry()
r1.ref = "rLayer@1"
r2.ref = "rLayer@2"
r1.raster = rLayer1
r2.raster = rLayer2
r1.bandNumber = 1
r2.bandNumber = 1
entries = [r1, r2]
expression = "(\"{0}\"-\"{1}\")/(\"{2}\"+\"{3}\")".format(
r1.ref, r2.ref, r1.ref, r2.ref)
a = QgsRasterCalculator(expression, path, 'GTiff', rLayer1.extent(),
rLayer1.width(), rLayer1.height(), entries)
a.processCalculation()
def RasterAddition(luccraster, nppraster, outputfilename):
luccraster = OpenRaster(luccfilename)
# print("Lucc : " + str(luccraster.isValid()))
nppraster = OpenRaster(nppfilename)
# print("NPP : " + str(nppraster.isValid()))
entries = []
boh1 = QgsRasterCalculatorEntry()
boh1.ref = 'lucc@1'
boh1.raster = luccraster
boh1.bandNumber = 1
entries.append(boh1)
boh2 = QgsRasterCalculatorEntry()
boh2.ref = 'npp@1'
boh2.raster = nppraster
boh2.bandNumber = 1
entries.append(boh2)
# Process calculation with input extent and resolution
calc = QgsRasterCalculator('lucc@1 + npp@1', outputfilename, 'GTiff',
luccraster.extent(), luccraster.width(),
luccraster.height(), entries)
calc.processCalculation()
def calc_sipi(self):
lyr1 = self.getRed()
lyr2 = self.getNir()
lyr3 = self.getBlue()
output = os.path.join(self.dlg.le_output.text(),"sipi.tif")
entries = []
#red band
ras1 = QgsRasterCalculatorEntry()
ras1.ref = 'red'
ras1.raster = lyr1
ras1.bandNumber = 1
entries.append(ras1)
#nir band
ras2 = QgsRasterCalculatorEntry()
ras2.ref = 'nir'
ras2.raster = lyr2
ras2.bandNumber = 1
entries.append( ras2 )
#blue band
ras3 = QgsRasterCalculatorEntry()
ras3.ref = 'blue'
ras3.raster = lyr3
ras3.bandNumber = 1
entries.append( ras3 )
calc = QgsRasterCalculator( '("nir" - "blue") / ("nir" - "red")', \
output, 'GTiff', lyr1.extent(), lyr1.width(), lyr1.height(), entries )
calc.processCalculation()
self.iface.messageBar().pushMessage("SIPI Output Created Successfully", level=Qgis.Success, duration=3)
def processAlgorithm(self, parameters, context, progress):
output = self.parameterAsOutputLayer(parameters, self.OUTPUT_SURFACE,
context)
bottomRaster = self.parameterAsRasterLayer(parameters,
self.BOTTOM_SURFACE,
context)
topRaster = self.parameterAsRasterLayer(parameters, self.TOP_SURFACE,
context)
entries = []
ras = QgsRasterCalculatorEntry()
ras.ref = 'ras@1'
ras.raster = topRaster
ras.bandNumber = 1
entries.append(ras)
ras1 = QgsRasterCalculatorEntry()
ras1.ref = 'ras1@1'
ras1.raster = bottomRaster
ras1.bandNumber = 1
entries.append(ras1)
calc = QgsRasterCalculator(
'ras@1 + (ras1@1 - ras@1) * ((ras1@1 - ras@1) >= 0)', output,
'GTiff', bottomRaster.extent(), bottomRaster.width(),
bottomRaster.height(), entries)
calc.processCalculation()
return {self.OUTPUT_SURFACE: output}
def WeightedOverlay(bohLayer, bohLayer1):
tf = tempfile.TemporaryDirectory()
tfile = tf.name + "\\OUTPUT.tif"
entries = []
#define band 1
boh1 = QgsRasterCalculatorEntry()
boh1.ref = 'boh@1'
boh1.raster = bohLayer
boh1.bandNumber = 1
entries.append(boh1)
#define band 2
boh2 = QgsRasterCalculatorEntry()
boh2.ref = 'boh1@1'
boh2.raster = bohLayer1
boh2.bandNumber = 1
entries.append(boh2)
# Process calculation with input extent and resolution
calc = QgsRasterCalculator('Float(boh1@1 - boh@1)/Float(boh1@1 + boh@1)',
'outputfile', 'GTiff', bohLayer.extent(),
bohLayer.width(), bohLayer.height(), entries)
calc.processCalculation()
'''
def processAlgorithm(self, parameters, context, progress):
output = self.parameterAsOutputLayer(parameters, self.OUTPUT_SURFACE,
context)
topRaster = self.parameterAsRasterLayer(parameters, self.TOP_SURFACE,
context)
bottomRaster = self.parameterAsRasterLayer(parameters,
self.BOTTOM_SURFACE,
context)
ntgRaster = self.parameterAsRasterLayer(parameters, self.NTG_SURFACE,
context)
poroRaster = self.parameterAsRasterLayer(parameters, self.PORO_SURFACE,
context)
vnkValue = self.parameterAsDouble(parameters, self.VNK_VALUE, context)
formula = '( base@1 - top@1 ) * ( base@1 <= {0} ) + ( {0} - top@1 ) * ( base@1 > {0} ) * ' \
'( ( base@1 - top@1 ) * ( base@1 <= {0}) + ( {0} - top@1 ) * ( base@1 > {0} ) > 0)'.format(vnkValue)
entries = []
ras = QgsRasterCalculatorEntry()
ras.ref = 'top@1'
ras.raster = topRaster
ras.bandNumber = 1
entries.append(ras)
ras1 = QgsRasterCalculatorEntry()
ras1.ref = 'base@1'
ras1.raster = bottomRaster
ras1.bandNumber = 1
entries.append(ras1)
calc = QgsRasterCalculator(formula, output, 'GTiff',
bottomRaster.extent(), bottomRaster.width(),
bottomRaster.height(), entries)
calc.processCalculation(progress)
return {self.OUTPUT_SURFACE: output}
def calc_cvi(self):
lyr1 = self.getRed()
lyr2 = self.getNir()
lyr3 = self.getGreen()
output = os.path.join(self.dlg.le_output.text(),"cvi.tif")
entries = []
#red band
ras1 = QgsRasterCalculatorEntry()
ras1.ref = 'red'
ras1.raster = lyr1
ras1.bandNumber = 1
entries.append(ras1)
#nir band
ras2 = QgsRasterCalculatorEntry()
ras2.ref = 'nir'
ras2.raster = lyr2
ras2.bandNumber = 1
entries.append( ras2 )
#green band
ras3 = QgsRasterCalculatorEntry()
ras3.ref = 'green'
ras3.raster = lyr3
ras3.bandNumber = 1
entries.append( ras3 )
calc = QgsRasterCalculator( '"nir" * ("red" / ("green" * "green"))', \
output, 'GTiff', lyr1.extent(), lyr1.width(), lyr1.height(), entries )
calc.processCalculation()
self.iface.messageBar().pushMessage("CVI Output Created Successfully", level=Qgis.Success, duration=3)
def calc_savi(self):
r = QgsRasterCalculatorEntry()
r.ref = self.red.name() + '@1'
r.raster = self.red
r.bandNumber = 1
ir = QgsRasterCalculatorEntry()
ir.ref = self.nir.name() + '@2'
ir.raster = self.nir
ir.bandNumber = 1
entries = list()
entries.append(r)
entries.append(ir)
expression = '(({0} - {1}) / ({0} + {1} + {2})) * (1 + {2})'.format(
ir.ref, r.ref, self.L
)
calc = QgsRasterCalculator(
expression,
self.output, "GTiff",
self.red.extent(), self.red.width(), self.red.height(),
entries
)
calc.processCalculation()
def pop_boundary(self):
tempdir = self.gettempdir()
study_area = self.study_layer()
pop_layer = self.pop_layer()
entries = []
# Get Study area layer info.
studylyrName = study_area.name()
studyras = QgsRasterCalculatorEntry()
studyras.ref = studylyrName + '@1'
studyras.raster = study_area
studyras.bandNumber = 1
entries.append(studyras)
# Get Population area layer info.
poplyrName = pop_layer.name()
popras = QgsRasterCalculatorEntry()
popras.ref = poplyrName + '@1'
popras.raster = pop_layer
popras.bandNumber = 1
entries.append(popras)
formula = "\"" + studyras.ref + "\"" + ' * ' + "\"" + popras.ref + "\""
#print formula
pop_output = tempdir + "/%s_study.tif" % str(poplyrName)
#print pop_output
calc = QgsRasterCalculator(formula, pop_output, 'GTiff',
study_area.extent(), study_area.width(),
study_area.height(), entries)
calc.processCalculation()
del entries
return pop_output
def calcular(self):
RED = QgsRasterLayer(
self.carga_RED.filePath()) #Se guarda en la variable RED
NIR = QgsRasterLayer(
self.carga_NIR.filePath()) #Se guarda en la variable NIR
# SE COMPRUEBA QUE LAS IMAGENES DE ENTRADA TENGAN LAS MISMAS DIMENSIONES
if RED.width() == NIR.width() and RED.height() == NIR.height():
continuar = True
else:
ctypes.windll.user32.MessageBoxW(
0,
"¡Las imágenes no tienen las mismas dimensiones!. Carguelas de nuevo",
"Error!!", 1)
continuar = False
# SI LAS IMAGENES DE ENTRADA TIENEN LAS MISMAS DIMENSIONES SE EJECUTA
if continuar == True:
iface.addRasterLayer(str(self.carga_RED.filePath())
) # Se carga en QGIS, en el espaio de trabajo
iface.addRasterLayer(str(self.carga_NIR.filePath())
) # Se carga en QGIS, en el espaio de trabajo
# Definicion de los paramentros necesarios para la aplicacion de QgsRasterCalculator
output = self.txt_ruta.text()
entries = []
#BANDA RED
ras = QgsRasterCalculatorEntry()
ras.ref = 'ras@1'
ras.raster = RED
ras.bandNumber = 1
entries.append(ras)
#BANDA NIR
ras = QgsRasterCalculatorEntry()
ras.ref = 'ras@2'
ras.raster = NIR
ras.bandNumber = 1
entries.append(ras)
#DEPENDIENDO DEL ÍNDICE DE VEGETACIÓN SELECCIONADO EJECUTA UN CÁLCULO U OTRO
if self.rb_AVI.isChecked() == True:
calc = QgsRasterCalculator(
'("ras@2"*(1-"ras@1")*("ras@2"-"ras@1"))^(1/3)', output,
'GTiff', RED.extent(), RED.width(), RED.height(), entries)
calc.processCalculation()
if self.rb_NDVI.isChecked() == True:
calc = QgsRasterCalculator(
'("ras@2"-"ras@1")/("ras@2"+"ras@1")', output, 'GTiff',
RED.extent(), RED.width(), RED.height(), entries)
calc.processCalculation()
if self.rb_SAVI.isChecked() == True:
calc = QgsRasterCalculator(
'(("ras@2"-"ras@1")/("ras@2"+"ras@1"+0.5))*1.5', output,
'GTiff', RED.extent(), RED.width(), RED.height(), entries)
calc.processCalculation()
iface.addRasterLayer(
output) # Se carga en QGIS el Output, en el espaio de trabajo
def calc_e1(self, dir_output, dir_D_11, dir_C_besar_10, dir_D_10, dir_E0,
temp_folder):
self.dir_output = dir_output
self.path = os.path.join(str(Path(dir_output).parent), 'temp_folder',
'')
self.temp_folder = temp_folder
self.dir_D_11 = dir_D_11
self.dir_C_besar_10 = dir_C_besar_10
self.dir_D_10 = dir_D_10
self.dir_E0 = dir_E0
self.dir_output_temp = self.path + 'E1.tif'
entries = []
D_11 = QgsRasterLayer(self.dir_D_11)
ras = QgsRasterCalculatorEntry()
ras.ref = '11 - D@1'
ras.raster = D_11
ras.bandNumber = 1
entries.append(ras)
C_besar_10 = QgsRasterLayer(self.dir_C_besar_10)
ras = QgsRasterCalculatorEntry()
ras.ref = '10 - C besar@1'
ras.raster = C_besar_10
ras.bandNumber = 1
entries.append(ras)
D_10 = QgsRasterLayer(self.dir_D_10)
ras = QgsRasterCalculatorEntry()
ras.ref = '10 - D@1'
ras.raster = D_10
ras.bandNumber = 1
entries.append(ras)
E0 = QgsRasterLayer(self.dir_E0)
ras = QgsRasterCalculatorEntry()
ras.ref = 'E0@1'
ras.raster = E0
ras.bandNumber = 1
entries.append(ras)
if self.temp_folder == 'yes':
calc = QgsRasterCalculator(
'"11 - D@1" * ( 1 - "10 - C besar@1" - "10 - D@1" ) / "E0@1"',
self.dir_output_temp, 'GTiff', E0.extent(), E0.width(),
E0.height(), entries)
calc.processCalculation()
elif self.temp_folder == 'no':
calc = QgsRasterCalculator(
'"11 - D@1" * ( 1 - "10 - C besar@1" - "10 - D@1" ) / "E0@1"',
self.dir_output, 'GTiff', E0.extent(), E0.width(), E0.height(),
entries)
calc.processCalculation()
iface.addRasterLayer(str(self.dir_output))
def processAlgorithm(self, parameters, context, feedback):
"""
Here is where the processing itself takes place.
"""
# Retrieve the feature source and sink. The 'dest_id' variable is used
# to uniquely identify the feature sink, and must be included in the
# dictionary returned by the processAlgorithm function.
rasterInput1 = self.parameterAsRasterLayer(parameters, self.INPUT_1,
context)
rasterInput2 = self.parameterAsRasterLayer(parameters, self.INPUT_2,
context)
FOperation = self.parameterAsEnum(parameters, self.CHOICE_FOPERATION,
context)
feedback.pushInfo('Fuzzy Operation: ' + str(FOperation))
outputFile = self.parameterAsOutputLayer(parameters, self.OUTPUT,
context)
feedback.pushInfo('Output File: ' + outputFile)
rCalcEntry1 = QgsRasterCalculatorEntry()
rCalcEntry1.ref = 'r1@1'
rCalcEntry1.raster = rasterInput1
rCalcEntry2 = QgsRasterCalculatorEntry()
rCalcEntry2.ref = 'r2@1'
rCalcEntry2.raster = rasterInput2
fsum = '1 - (( 1 - r1@1) * (1 - r2@1))'
fAnd = '((r1@1 < r2@1) * r1@1 ) + ((r2@1 < r1@1) * r2@1 ) + ((r2@1 = r1@1) * r2@1 ) '
fOr = '((r1@1 > r2@1) * r1@1 ) + ((r2@1 > r1@1) * r2@1 ) + ((r2@1 = r1@1) * r2@1 )'
fMultiply = 'r1@1 * r2@1'
if FOperation == 0:
formula = fsum
elif FOperation == 1:
formula = fAnd
elif FOperation == 2:
formula = fOr
elif FOperation == 3:
formula = fMultiply
feedback.pushInfo('Operator: ' + str(FOperation))
feedback.pushInfo('Formula: ' + str(formula))
calc = QgsRasterCalculator(formula, outputFile, 'GTiff',
rasterInput1.extent(), rasterInput1.width(),
rasterInput1.height(),
[rCalcEntry1, rCalcEntry2])
feedback.pushInfo("p calc1")
calc.processCalculation()
feedback.pushInfo("p calc1")
return {self.OUTPUT: outputFile}
def calculate_PCD(red,nir,pcdPath):
# Obtain file information and create the layers
redInfo=QFileInfo(red)
nirInfo=QFileInfo(nir)
redBaseName=redInfo.baseName()
nirBaseName=nirInfo.baseName()
folderPath = redInfo.absolutePath()
redReflectancePath = folderPath + "/red_reflectance.tif"
nirReflectancePath = folderPath + "/nir_reflectance.tif"
redLayer = QgsRasterLayer(red,redBaseName)
if not redLayer.isValid():
print "Error importing red band to calculate reflectances"
nirLayer = QgsRasterLayer(nir,nirBaseName)
if not nirLayer.isValid():
print "Error importing NIR band to calculate reflectances"
# The images are transformed into reflectances by dividing by 32768
entries=[]
redReflectance = QgsRasterCalculatorEntry()
redReflectance.ref = "red_band@1"
redReflectance.raster=redLayer
redReflectance.bandNumber = 1
entries.append(redReflectance)
# Converts the DN raster into a reflectance raster
calc=QgsRasterCalculator('float(' + redReflectance.ref + ')/32768', redReflectancePath,"GTiff",redLayer.extent(),redLayer.width(),redLayer.height(), entries)
calc.processCalculation()
nirReflectance = QgsRasterCalculatorEntry()
nirReflectance.ref = "nir_band@1"
nirReflectance.raster=nirLayer
nirReflectance.bandNumber = 1
entries.append(nirReflectance)
# Converts the DN raster into a reflectance raster
calc=QgsRasterCalculator('float(' + nirReflectance.ref + ')/32768', nirReflectancePath,"GTiff",nirLayer.extent(),nirLayer.width(),nirLayer.height(), entries)
calc.processCalculation()
# Calculate the PCD index
calc=QgsRasterCalculator("float(" + nirReflectance.ref + ")/float(" + redReflectance.ref + ")", pcdPath,"GTiff",nirLayer.extent(),nirLayer.width(),nirLayer.height(), entries)
calc.processCalculation()
print "PCD calculated"
def main():
# Read the options and arguments from the command line (w/ some default settings).
options = Options()
opts = options.parse(sys.argv[1:])
# Configure logging.
FORMAT = '%(asctime)s - %(levelname)s - %(message)s'
logging.basicConfig(filename=opts.logfile,
filemode="w",
format=FORMAT,
level=logging.DEBUG)
logging.getLogger().addHandler(logging.StreamHandler())
# Init QGIS
app = QApplication(sys.argv)
QgsApplication.setPrefixPath("/usr/local/qgis_master", True)
QgsApplication.initQgis()
#Load CIR orthofoto
fileName = "/home/stefan/Downloads/1091-231.tif"
fileInfo = QFileInfo(fileName)
baseName = fileInfo.baseName()
rlayer = QgsRasterLayer(fileName, baseName)
if not rlayer.isValid():
print "Layer failed to load!"
print "************"
print rlayer.width()
print rlayer.bandCount()
#print rlayer.metadata()
#print rlayer.rasterType()
#print rlayer.dataProvider().colorTable(1)
print "************"
# Define an alias for each band in form of a QgsRasterCalculatorEntry.
entries = []
band1 = QgsRasterCalculatorEntry()
band1.ref = 'cir@1'
band1.raster = rlayer
band1.bandNumber = 1
entries.append(band1)
band2 = QgsRasterCalculatorEntry()
band2.ref = 'cir@2'
band2.raster = rlayer
band2.bandNumber = 2
entries.append(band2)
# Process calculation with input extent and resolution
calc = QgsRasterCalculator('(cir@1 - cir@2) / (cir@1 + cir@2)',
'/home/stefan/Downloads/1091-231_ndvi.tif',
'GTiff', rlayer.extent(), rlayer.width(),
rlayer.height(), entries)
calc.processCalculation()
def run(self):
"""Run method that performs all the real work"""
# Create the dialog with elements (after translation) and keep reference
# Only create GUI ONCE in callback, so that it will only load when the plugin is started
if self.first_start == True:
self.first_start = False
self.dlg = NDVIDialog()
self.dlg.pushButton.clicked.connect(self.select_output_file)
# Fetch the currently loaded layers
layers = QgsProject.instance().layerTreeRoot().children()
# Clear the contents of the comboBox from previous runs
self.dlg.comboBox.clear()
# Populate the comboBox with names of all the loaded layers
self.dlg.comboBox.addItems([layer.name() for layer in layers])
self.dlg.comboBox_2.clear()
# Populate the comboBox with names of all the loaded layers
self.dlg.comboBox_2.addItems([layer.name() for layer in layers])
# show the dialog
self.dlg.show()
# Run the dialog event loop
result = self.dlg.exec_()
# See if OK was pressed
if result:
# Do something useful here - delete the line containing pass and
# substitute with your code.
l7_b4 = self.dlg.comboBox.currentIndex()
l7_b4 = layers[l7_b4].layer()
l7_b3 = self.dlg.comboBox_2.currentIndex()
l7_b3 = layers[l7_b3].layer()
entries = []
output = self.dlg.lineEdit.text()
raster4 = l7_b4
b4 = QgsRasterCalculatorEntry()
b4.ref = "b4@1"
b4.raster = raster4
b4.bandNumber = 1
raster3 = l7_b3
b3 = QgsRasterCalculatorEntry()
b3.ref = "b3@1"
b3.raster = raster3
b3.bandNumber = 1
entries.append(b4)
entries.append(b3)
calc = QgsRasterCalculator('("b4@1"-"b3@1")/("b4@1"+"b3@1")',output,"GTiff",\
raster4.extent(),raster4.width(),raster4.height(),entries)
calc.processCalculation()
self.iface.messageBar().pushMessage(
"Success", "Output file written at " ,
level=Qgis.Success, duration=3)
def AjusteComETP (chuva, etp, output):
entries = []
raster1 = QgsRasterCalculatorEntry()
raster1.ref = 'chuva@1'
raster1.raster = chuva
raster1.bandNumber = 1
entries.append(raster1)
raster2 = QgsRasterCalculatorEntry()
raster2.ref = 'etp@1'
raster2.raster = etp
raster2.bandNumber = 1
entries.append(raster2)
calc = QgsRasterCalculator ('(etp@1 > 0) * chuva@1', output, 'GTiff', chuva.extent(), chuva.width(), chuva.height(), entries)
calc.processCalculation()
def raster_subtract(self):
# if the layer does not exist it has to be created
rlayer1 = QgsMapLayerRegistry.instance().mapLayersByName( self.cb_input1.currentText() )[0]
rlayer2 = QgsMapLayerRegistry.instance().mapLayersByName( self.cb_input2.currentText() )[0]
fileName = self.lineEdit.text()
entries = []
# Define band1
boh1 = QgsRasterCalculatorEntry()
boh1.ref = 'boh@1'
boh1.raster = rlayer1
boh1.bandNumber = 1
entries.append( boh1 )
# Define band2
boh2 = QgsRasterCalculatorEntry()
boh2.ref = 'boh@2'
boh2.raster = rlayer2
boh2.bandNumber = 1
entries.append( boh2 )
# Process calculation with input extent and resolution
calc = QgsRasterCalculator( 'boh@1 - boh@2', fileName, \
'GTiff', rlayer1.extent(), \
rlayer1.width(), rlayer1.height(), entries )
calc.processCalculation()
# Load the file into the map
fileInfo = QFileInfo(fileName)
baseName = fileInfo.baseName()
root = QgsProject.instance().layerTreeRoot()
node_group1 = root.insertGroup(0, "Group 1")
node_subgroup1 = node_group1.addGroup("Sub-group 1")
# Check out signals from nodes section
# http://www.lutraconsulting.co.uk/blog/2014/07/25/qgis-layer-tree-api-part-2/
# if the layer does not exist it has to be created
if not QgsMapLayerRegistry.instance().mapLayersByName(baseName):
rOutput = QgsRasterLayer(fileName, baseName)
QgsMapLayerRegistry.instance().addMapLayer(rOutput, False)
setRamp(rOutput, self.iface)
node_layer1 = node_subgroup1.addLayer(rOutput)
# if the layer already exists trigger a refresh
else:
rOutput = QgsMapLayerRegistry.instance().mapLayersByName(baseName)[0]
rOutput.triggerRepaint()
def sum_quantiles(self):
tempdir = self.gettempdir()
lst_quantile = self.quantile()
# List layers for calculate.
entries = []
for lyrPath in lst_quantile[0:1]:
lyrName = os.path.basename(lyrPath)
lyr1 = QgsRasterLayer(lyrPath, lyrName)
# Get raster info.
ras1 = QgsRasterCalculatorEntry()
ras1.ref = lyrName + '@1'
ras1.raster = lyr1
ras1.bandNumber = 1
entries.append(ras1)
for lyrPath in lst_quantile[1:2]:
lyrName = os.path.basename(lyrPath)
lyr2 = QgsRasterLayer(lyrPath, lyrName)
# Get raster info.
ras2 = QgsRasterCalculatorEntry()
ras2.ref = lyrName + '@1'
ras2.raster = lyr2
ras2.bandNumber = 1
entries.append(ras2)
for lyrPath in lst_quantile[2:3]:
lyrName = os.path.basename(lyrPath)
lyr3 = QgsRasterLayer(lyrPath, lyrName)
# Get raster info.
ras3 = QgsRasterCalculatorEntry()
ras3.ref = lyrName + '@1'
ras3.raster = lyr3
ras3.bandNumber = 1
entries.append(ras3)
formula_sum = "((" + "\"" + ras1.ref + "\"" + '*' + '100' + ')' + ' + ' + '(' + "\"" + ras2.ref + "\"" + '*' + '10' + ")" + ' + ' + "(" + "\"" + ras3.ref + "\"" + '))'
output = tempdir + "/VIF.tif"
calc_sum = QgsRasterCalculator(formula_sum, output, 'GTiff', lyr1.extent(),
lyr1.width(), lyr1.height(), entries)
calc_sum.processCalculation()
del entries
return output
def capacity(self):
lstStnd_Capa = self.lst_capa()
tempdir = self.gettempdir()
entries = []
try:
for i in range(0, len(lstStnd_Capa)):
raster = lstStnd_Capa[i]
readRst = processing.getObject(raster)
ras1 = QgsRasterCalculatorEntry()
ras1.raster = readRst
ras1.ref = "capa_lyr" + str(i + 1) + "@1"
ras1.bandNumber = 1
entries.append(ras1)
formula = '((' + entries[0].ref + ' * ' + entries[
1].ref + ')^ 0.5)* 1000000'
readRst = QgsRasterLayer(lstStnd_Capa[0])
output = tempdir + "/Capacity.tif"
calc = QgsRasterCalculator(formula, output, 'GTiff',
readRst.extent(), readRst.width(),
readRst.height(), entries)
calc.processCalculation()
return output
except:
self.userWarning(
"Error in Create Adaptive Capacity map",
"Can not create Create Adaptive Capacity map, Exit")
def calc_10_toa(self, dir_output, dir_btir1, temp_folder, val_tir1_rmult,
val_tir1_radd):
self.dir_output = dir_output
self.path = os.path.join(str(Path(dir_output).parent), 'temp_folder',
'')
self.temp_folder = temp_folder
self.dir_btir1 = dir_btir1
self.dir_output_temp = self.path + '10 - TOA.tif'
self.val_tir1_rmult = val_tir1_rmult
self.val_tir1_radd = val_tir1_radd
entries = []
band10 = QgsRasterLayer(self.dir_btir1)
ras = QgsRasterCalculatorEntry()
ras.ref = 'band10@1'
ras.raster = band10
ras.bandNumber = 1
entries.append(ras)
if self.temp_folder == 'yes':
calc = QgsRasterCalculator(
str(self.val_tir1_rmult) + '* "band10@1" +' +
str(self.val_tir1_radd), self.dir_output_temp, 'GTiff',
band10.extent(), band10.width(), band10.height(), entries)
calc.processCalculation()
elif self.temp_folder == 'no':
calc = QgsRasterCalculator(
str(self.val_tir1_rmult) + '* "band10@1" +' +
str(self.val_tir1_radd), self.dir_output, 'GTiff',
band10.extent(), band10.width(), band10.height(), entries)
calc.processCalculation()
iface.addRasterLayer(str(self.dir_output))
def calc_11_d(self, dir_output, dir_e_11, temp_folder, val_attransmit2):
self.dir_output = dir_output
self.path = os.path.join(str(Path(dir_output).parent), 'temp_folder',
'')
self.temp_folder = temp_folder
self.dir_e_11 = dir_e_11
self.dir_output_temp = self.path + '11 - D.tif'
self.val_attransmit2 = val_attransmit2
entries = []
e_11 = QgsRasterLayer(self.dir_e_11)
ras = QgsRasterCalculatorEntry()
ras.ref = '11 - e@1'
ras.raster = e_11
ras.bandNumber = 1
entries.append(ras)
if self.temp_folder == 'yes':
calc = QgsRasterCalculator(
'( 1 - ' + str(self.val_attransmit2) +
' )* ( 1 + ( 1 - "11 - e@1" ) * ' +
str(self.val_attransmit2) + ')', self.dir_output_temp, 'GTiff',
e_11.extent(), e_11.width(), e_11.height(), entries)
calc.processCalculation()
elif self.temp_folder == 'no':
calc = QgsRasterCalculator(
'( 1 - ' + str(self.val_attransmit2) +
' )* ( 1 + ( 1 - "11 - e@1" ) * ' + str(self.val_attransmit2) +
')', self.dir_output, 'GTiff', e_11.extent(), e_11.width(),
e_11.height(), entries)
calc.processCalculation()
iface.addRasterLayer(str(self.dir_output))
def calc_11_toa_L7(self, dir_output, dir_btir2, temp_folder):
self.temp_folder = temp_folder
self.dir_output = dir_output
self.dir_btir2 = dir_btir2
self.dir_output_temp = str(
Path(dir_output).parent) + '\temp_folder\\11 - TOA.tif'
entries = []
band11 = QgsRasterLayer(self.dir_btir2)
ras = QgsRasterCalculatorEntry()
ras.ref = 'band11@1'
ras.raster = band11
ras.bandNumber = 1
entries.append(ras)
if self.temp_folder == 'yes':
calc = QgsRasterCalculator(
'((17.04 - 0) / (255 - 1)) * ("band11@1" - 1) + 0',
self.dir_output_temp, 'GTiff', band11.extent(), band11.width(),
band11.height(), entries)
calc.processCalculation()
elif self.temp_folder == 'no':
calc = QgsRasterCalculator(
'((17.04 - 0) / (255 - 1)) * ("band11@1" - 1) + 0',
self.dir_output, 'GTiff', band11.extent(), band11.width(),
band11.height(), entries)
calc.processCalculation()
iface.addRasterLayer(str(self.dir_output))
def calc_10_cbesar(self, dir_output, dir_e_10, temp_folder,
val_attransmit1):
self.dir_output = dir_output
self.path = os.path.join(str(Path(dir_output).parent), 'temp_folder',
'')
self.temp_folder = temp_folder
self.dir_e_10 = dir_e_10
self.dir_output_temp = self.path + '10 - C besar.tif'
self.val_attransmit1 = val_attransmit1
entries = []
e_10 = QgsRasterLayer(self.dir_e_10)
ras = QgsRasterCalculatorEntry()
ras.ref = '10 - e@1'
ras.raster = e_10
ras.bandNumber = 1
entries.append(ras)
if self.temp_folder == 'yes':
calc = QgsRasterCalculator(
'"10 - e@1" * ' + str(self.val_attransmit1),
self.dir_output_temp, 'GTiff', e_10.extent(), e_10.width(),
e_10.height(), entries)
calc.processCalculation()
elif self.temp_folder == 'no':
calc = QgsRasterCalculator(
'"10 - e@1" * ' + str(self.val_attransmit1), self.dir_output,
'GTiff', e_10.extent(), e_10.width(), e_10.height(), entries)
calc.processCalculation()
iface.addRasterLayer(str(self.dir_output))
def calc_10_bt_L7(
self,
dir_output,
dir_toa_10,
temp_folder,
):
self.temp_folder = temp_folder
dir_output = self.dlg.fw_output.filePath()
dir_toa_10 = str(
Path(dir_output).parent) + '\\temp_folder\\10 - TOA.tif'
dir_output_temp = str(
Path(dir_output).parent) + '\\temp_folder\\10 - BT.tif'
entries = []
toa_10 = QgsRasterLayer(output_toa_10)
ras = QgsRasterCalculatorEntry()
ras.ref = '10 - TOA@1'
ras.raster = toa_10
ras.bandNumber = 1
entries.append(ras)
if self.temp_folder == 'yes':
calc = QgsRasterCalculator(
str(L_TIR1_K2_L7) + ' / ln ( ( ' + str(L_TIR1_K1_L7) +
' / "10 - TOA@1" ) + 1 )', output_bt_10, 'GTiff',
toa_10.extent(), toa_10.width(), toa_10.height(), entries)
calc.processCalculation()
elif self.temp_folder == 'no':
calc = QgsRasterCalculator(
str(L_TIR1_K2_L7) + ' / ln ( ( ' + str(L_TIR1_K1_L7) +
' / "10 - TOA@1" ) + 1 )', output_bt_10, 'GTiff',
toa_10.extent(), toa_10.width(), toa_10.height(), entries)
calc.processCalculation()
iface.addRasterLayer(str(self.dir_output))
def NDVI_calc(self , layers):
entries = []
for l in layers:
layer = QgsRasterCalculatorEntry()
layer = QgsRasterCalculatorEntry()
layer.ref = l.name() +'@1'
layer.raster = l
layer.bandNumber = 1
entries.append(layer)
# Original path: C:/Users/fumibol/Documents/Wetlands/Python/QGIS arcPython/NDVI plugin/Output/NDVI.tif
# for entry in entries:
raster_salida = ""
# First it was raster_salida = ruta + os.path.sep + raster_salida + '.tif'
raster_salida = unicode(self.dlg.ui.ln_name_ndvi.text())
expression = '(' + entries[1].ref + ' + ' + entries[0].ref + ')/(' + entries[1].ref + ' - ' + entries[0].ref + '+ 1)'
calc = QgsRasterCalculator(expression, raster_salida, 'GTiff', layers[0].extent(), layers[0].width(), layers[0].height(), entries)
calc.processCalculation()
# QgsMapLayerRegistry.instance().addMapLayer('C:/Users/fumibol/Documents/Wetlands/Python/QGIS arcPython/NDVI plugin/Output/NDVI.tif' , 'NDVI result')
rl = self.iface.addRasterLayer(raster_salida , 'NDVI result')
QMessageBox.information(self.iface.mainWindow(),"Success!" , "Raster image " + entries[0].ref + " created successfully ")
def lulc_rasters(self):
tempdir = self.gettempdir()
classes = self.lulc_classess()
layerpath = self.lulc_study_area()
fileInfo = QFileInfo(layerpath)
baseName = fileInfo.baseName()
lyr = QgsRasterLayer(layerpath, baseName)
entries = []
ras = QgsRasterCalculatorEntry()
ras.ref = baseName + '@1'
ras.raster = lyr
ras.bandNumber = 1
entries.append(ras)
# List of output rasters for lulc types
lulc_list = []
for i in classes:
formula = "(" + "\"" + ras.ref + "\"" + ' = ' + str(
i) + " ) " + " * " + str(i)
output = tempdir + "/" + str(baseName) + "_%s.tif" % str(i)
lulc_list.append(output)
calc = QgsRasterCalculator(formula, output, 'GTiff', lyr.extent(),
lyr.width(), lyr.height(), entries)
calc.processCalculation()
del entries
return lulc_list
def sum_second_impact_pop(self):
# Get temporary directory.
tempdir = self.gettempdir()
# Get layers already created in temporary directory.
first_area_list, second_area_list, first_pop_list, second_pop_list = self.pre_siam(
)
entries = []
for i in range(0, len(second_pop_list)):
raster = second_pop_list[i]
readRst = processing.getObject(str(raster))
ras1 = QgsRasterCalculatorEntry()
ras1.raster = readRst
ras1.ref = "second_impact_pop_" + str(i + 1) + "@1"
ras1.bandNumber = 1
entries.append(ras1)
reflist = " + ".join([ent.ref for ent in entries])
formula = '(' + reflist + ')'
readRst = QgsRasterLayer(second_pop_list[0])
sum_second_impact_pop = tempdir + "/sum_second_impact_pop.tif"
calc = QgsRasterCalculator(formula, sum_second_impact_pop, 'GTiff',
readRst.extent(), readRst.width(),
readRst.height(), entries)
calc.processCalculation()
return sum_second_impact_pop
def split_bands(pathIn,pathOut): # Recibe un path de entrada (raster multibanda) y devuelve las bandas por separado fileInfo=QFileInfo(pathIn) baseName=fileInfo.baseName() layer=QgsRasterLayer(pathIn, baseName) if not layer.isValid(): print "Error importing Micasense Mosaic to split" print "Splitting bands from " + baseName numBands=layer.bandCount() i=1 entries=[] output=[] while(i<=numBands): band = QgsRasterCalculatorEntry() band.ref = "band@"+str(i) band.raster=layer band.bandNumber=i entries.append(band) # Saves the current band as a separate file calc=QgsRasterCalculator(band.ref, pathOut+ "/" +baseName+"_band_"+str(i)+".tif","GTiff",layer.extent(),layer.width(),layer.height(), entries) calc.processCalculation() output.append(pathOut+"/"+baseName+"_band_"+str(i)+".tif") i=i+1 return output
def second_impact_rasters(self):
tempdir = self.gettempdir()
classes = self.second_impact_classes()
layer = self.second_impact_layer()
lyrPath = layer.source()
lyrName = layer.name()
lyr2 = QgsRasterLayer(lyrPath, lyrName)
entries = []
ras1 = QgsRasterCalculatorEntry()
ras1.ref = lyrName + '@1'
ras1.raster = lyr2
ras1.bandNumber = 1
entries.append(ras1)
# List of output rasters for lulc types
second_list = []
for i in classes:
formula = "(" + "\"" + ras1.ref + "\"" + ' = ' + str(
i) + " ) " + " * " + str(i)
output = tempdir + "/" + str(lyrName) + "_%s.tif" % str(i)
second_list.append(output)
calc = QgsRasterCalculator(formula, output, 'GTiff', lyr2.extent(),
lyr2.width(), lyr2.height(), entries)
calc.processCalculation()
del entries
return second_list
def NDVI(banda3, banda4, output):
entries = []
raster1 = QgsRasterCalculatorEntry()
raster1.ref = 'banda3@1'
raster1.raster = banda3
raster1.bandNumber = 1
entries.append(raster1)
raster2 = QgsRasterCalculatorEntry()
raster2.ref = 'banda4@1'
raster2.raster = banda4
raster2.bandNumber = 1
entries.append(raster2)
calc = QgsRasterCalculator('(banda4@1 + banda3@1) / (banda4@1 - banda3@1)',
output, 'GTiff', banda3.extent(),
banda3.width(), banda3.height(), entries)
calc.processCalculation()
def processAlgorithm(self, parameters, context, feedback):
expression = self.getParameterValue(self.EXPRESSION)
layersValue = self.getParameterValue(self.LAYERS)
layersDict = {}
if layersValue:
layers = [QgsProcessingUtils.mapLayerFromString(f, context) for f in layersValue.split(";")]
layersDict = {os.path.basename(lyr.source().split(".")[0]): lyr for lyr in layers}
for lyr in QgsProcessingUtils.compatibleRasterLayers(context.project()):
name = lyr.name()
if (name + "@") in expression:
layersDict[name] = lyr
entries = []
for name, lyr in layersDict.items():
for n in range(lyr.bandCount()):
entry = QgsRasterCalculatorEntry()
entry.ref = '{:s}@{:d}'.format(name, n + 1)
entry.raster = lyr
entry.bandNumber = n + 1
entries.append(entry)
output = self.getOutputValue(self.OUTPUT)
extentValue = self.getParameterValue(self.EXTENT)
if not extentValue:
extentValue = QgsProcessingUtils.combineLayerExtents(layersValue)
if extentValue:
extent = extentValue.split(',')
bbox = QgsRectangle(float(extent[0]), float(extent[2]),
float(extent[1]), float(extent[3]))
else:
if layersDict:
bbox = list(layersDict.values())[0].extent()
for lyr in layersDict.values():
bbox.combineExtentWith(lyr.extent())
else:
raise GeoAlgorithmExecutionException(self.tr("No layers selected"))
def _cellsize(layer):
return (layer.extent().xMaximum() - layer.extent().xMinimum()) / layer.width()
cellsize = self.getParameterValue(self.CELLSIZE) or min([_cellsize(lyr) for lyr in layersDict.values()])
width = math.floor((bbox.xMaximum() - bbox.xMinimum()) / cellsize)
height = math.floor((bbox.yMaximum() - bbox.yMinimum()) / cellsize)
driverName = GdalUtils.getFormatShortNameFromFilename(output)
calc = QgsRasterCalculator(expression,
output,
driverName,
bbox,
width,
height,
entries)
res = calc.processCalculation()
if res == QgsRasterCalculator.ParserError:
raise GeoAlgorithmExecutionException(self.tr("Error parsing formula"))
def processAlgorithm(self, parameters, context, feedback):
expression = self.parameterAsString(parameters, self.EXPRESSION, context)
layers = self.parameterAsLayerList(parameters, self.LAYERS, context)
layersDict = {}
if layers:
layersDict = {os.path.basename(lyr.source().split(".")[0]): lyr for lyr in layers}
for lyr in QgsProcessingUtils.compatibleRasterLayers(context.project()):
name = lyr.name()
if (name + "@") in expression:
layersDict[name] = lyr
entries = []
for name, lyr in layersDict.items():
for n in range(lyr.bandCount()):
entry = QgsRasterCalculatorEntry()
entry.ref = '{:s}@{:d}'.format(name, n + 1)
entry.raster = lyr
entry.bandNumber = n + 1
entries.append(entry)
output = self.parameterAsOutputLayer(parameters, self.OUTPUT, context)
bbox = self.parameterAsExtent(parameters, self.EXTENT, context)
if bbox.isNull():
bbox = QgsProcessingUtils.combineLayerExtents(layers)
if bbox.isNull():
if layersDict:
bbox = list(layersDict.values())[0].extent()
for lyr in layersDict.values():
bbox.combineExtentWith(lyr.extent())
else:
raise QgsProcessingException(self.tr("No layers selected"))
def _cellsize(layer):
return (layer.extent().xMaximum() - layer.extent().xMinimum()) / layer.width()
cellsize = self.parameterAsDouble(parameters, self.CELLSIZE, context) or min([_cellsize(lyr) for lyr in layersDict.values()])
width = math.floor((bbox.xMaximum() - bbox.xMinimum()) / cellsize)
height = math.floor((bbox.yMaximum() - bbox.yMinimum()) / cellsize)
driverName = GdalUtils.getFormatShortNameFromFilename(output)
calc = QgsRasterCalculator(expression,
output,
driverName,
bbox,
width,
height,
entries)
res = calc.processCalculation()
if res == QgsRasterCalculator.ParserError:
raise QgsProcessingException(self.tr("Error parsing formula"))
return {self.OUTPUT: output}
def reclassifyRaster(prjpath, inRasterName, bandnum, minValue, tupleUpValues,
outRasterName):
""" Reclassify a raster to groups defined by tupleUpValues."""
# Get raster
inRaster=getRasterLayerByName(inRasterName)
if not inRaster:
message=inRasterName+ " not loaded or not a raster!"
QMessageBox.critical(None,'Error',message, QMessageBox.Ok)
return False
# Check prjpath exists
if not os.path.isdir(prjpath):
message= prjpath + " does not exist!"
QMessageBox.critical(None,'Error',message, QMessageBox.Ok)
return False
# Define band
boh = QgsRasterCalculatorEntry()
bandName=inRasterName+'@'+str(bandnum)
boh.ref = bandName
boh.raster = inRaster
boh.bandNumber =bandnum
# Prepare entries
entries = []
entries.append( boh )
# Prepare calculation command
bandNameAddStr= '<='+ bandName + ' AND ' + bandName + '<'
i = 1
lowerVal=0
calcCommand=""
for upValue in tupleUpValues:
calcCommand = calcCommand + '( ' + str(minValue) + bandNameAddStr
calcCommand = calcCommand + str(upValue) + ')' + '*' + str(i)
if i!=len(tupleUpValues):
calcCommand = calcCommand + ' + '
minValue = upValue
i = i + 1
# Process calculation with input extent and resolution
pathFilename=os.path.join( prjpath, outRasterName) + '.tif'
calc = QgsRasterCalculator(calcCommand, pathFilename, 'GTiff',
inRaster.extent(), inRaster.width(),
inRaster.height(), entries )
if not calc: return False
ok= (calc.processCalculation() == 0)
return ok
def StringToRaster(raster,banda):
fileInfo = QFileInfo(raster)
path = fileInfo.filePath()
baseName = fileInfo.baseName()
global layerglobal
layerglobal = QgsRasterLayer(path, baseName)
QgsMapLayerRegistry.instance().addMapLayer(layerglobal)
if layerglobal.isValid() is True:
bandaref=str(banda)+'@1'
# Define band1
banda = QgsRasterCalculatorEntry()
banda.ref = bandaref
banda.raster = layerglobal
banda.bandNumber = 1
entries.append( banda )
else:
print "Unable to read basename and file path - Your string is probably invalid" +str(baseName)
def adjustRasterToBaseRaster (baseRaster, adjustingRaster, outputPath):
entries = []
rCalcObj = QgsRasterCalculatorEntry()
rCalcObj.ref = 'rCalcObj@1'
rCalcObj.raster = adjustingRaster
rCalcObj.bandNumber = 1
entries.append(rCalcObj)
#print '---'
#print baseRaster.extent()
#print baseRaster.width()
#print baseRaster.height()
#print '---'
calc = QgsRasterCalculator('rCalcObj@1', outputPath, 'GTiff',
baseRaster.extent(),
baseRaster.width(), baseRaster.height(), entries)
#print 'calc'
calc.processCalculation()
def generateOneValueRasterQGisCalc (baseRaster, value, outputPath):
"""
Generates raster with extent and resolution of baseRaster, each pixel is value.
QgsRasterCalculator used
:param baseRaster:
:param value: output value
:param outputPath: path for output file
"""
entries = []
rCalcObj = QgsRasterCalculatorEntry()
rCalcObj.ref = 'rCalcObj@1'
rCalcObj.raster = baseRaster
rCalcObj.bandNumber = 1
entries.append(rCalcObj)
calc = QgsRasterCalculator(str(value), outputPath, 'GTiff',
baseRaster.extent(),
baseRaster.width(), baseRaster.height(), entries)
calc.processCalculation()
def processAlgorithm(self, parameters, context, feedback):
expression = self.parameterAsString(parameters, self.EXPRESSION, context)
layers = self.parameterAsLayerList(parameters, self.LAYERS, context)
layersDict = {}
if layers:
layersDict = {lyr.source(): lyr for lyr in layers}
crs = self.parameterAsCrs(parameters, self.CRS, context)
if crs is None or not crs.isValid():
if not layers:
raise QgsProcessingException(self.tr("No reference layer selected nor CRS provided"))
else:
crs = list(layersDict.values())[0].crs()
bbox = self.parameterAsExtent(parameters, self.EXTENT, context)
if bbox.isNull() and not layers:
raise QgsProcessingException(self.tr("No reference layer selected nor extent box provided"))
if not bbox.isNull():
bboxCrs = self.parameterAsExtentCrs(parameters, self.EXTENT, context)
if bboxCrs != crs:
transform = QgsCoordinateTransform(bboxCrs, crs, context.project())
bbox = transform.transformBoundingBox(bbox)
if bbox.isNull() and layers:
bbox = QgsProcessingUtils.combineLayerExtents(layers, crs, context)
cellsize = self.parameterAsDouble(parameters, self.CELLSIZE, context)
if cellsize == 0 and not layers:
raise QgsProcessingException(self.tr("No reference layer selected nor cellsize value provided"))
def _cellsize(layer):
ext = layer.extent()
if layer.crs() != crs:
transform = QgsCoordinateTransform(layer.crs(), crs, context.project())
ext = transform.transformBoundingBox(ext)
return (ext.xMaximum() - ext.xMinimum()) / layer.width()
if cellsize == 0:
cellsize = min([_cellsize(lyr) for lyr in layersDict.values()])
# check for layers available in the model
layersDictCopy = layersDict.copy() # need a shallow copy because next calls invalidate iterator
for lyr in layersDictCopy.values():
expression = self.mappedNameToLayer(lyr, expression, layersDict, context)
# check for layers available in the project
for lyr in QgsProcessingUtils.compatibleRasterLayers(context.project()):
expression = self.mappedNameToLayer(lyr, expression, layersDict, context)
# create the list of layers to be passed as inputs to RasterCalculaltor
# at this phase expression has been modified to match available layers
# in the current scope
entries = []
for name, lyr in layersDict.items():
for n in range(lyr.bandCount()):
ref = '{:s}@{:d}'.format(name, n + 1)
if ref in expression:
entry = QgsRasterCalculatorEntry()
entry.ref = ref
entry.raster = lyr
entry.bandNumber = n + 1
entries.append(entry)
# Append any missing entry from the current project
for entry in QgsRasterCalculatorEntry.rasterEntries():
if not [e for e in entries if e.ref == entry.ref]:
entries.append(entry)
output = self.parameterAsOutputLayer(parameters, self.OUTPUT, context)
width = round((bbox.xMaximum() - bbox.xMinimum()) / cellsize)
height = round((bbox.yMaximum() - bbox.yMinimum()) / cellsize)
driverName = GdalUtils.getFormatShortNameFromFilename(output)
calc = QgsRasterCalculator(expression,
output,
driverName,
bbox,
crs,
width,
height,
entries,
context.transformContext())
res = calc.processCalculation(feedback)
if res == QgsRasterCalculator.ParserError:
raise QgsProcessingException(self.tr("Error parsing formula"))
return {self.OUTPUT: output}
def processAlgorithm(self, parameters, context, feedback):
expression = self.parameterAsString(parameters, self.EXPRESSION, context)
layers = self.parameterAsLayerList(parameters, self.LAYERS, context)
layersDict = {}
if layers:
layersDict = {os.path.basename(lyr.source().split(".")[0]): lyr for lyr in layers}
crs = self.parameterAsCrs(parameters, self.CRS, context)
if not layers and not crs.isValid():
raise QgsProcessingException(self.tr("No reference layer selected nor CRS provided"))
if not crs.isValid() and layers:
crs = list(layersDict.values())[0].crs()
bbox = self.parameterAsExtent(parameters, self.EXTENT, context)
if not layers and bbox.isNull():
raise QgsProcessingException(self.tr("No reference layer selected nor extent box provided"))
if not bbox.isNull():
bboxCrs = self.parameterAsExtentCrs(parameters, self.EXTENT, context)
if bboxCrs != crs:
transform = QgsCoordinateTransform(bboxCrs, crs, context.project())
bbox = transform.transformBoundingBox(bbox)
if bbox.isNull() and layers:
bbox = QgsProcessingUtils.combineLayerExtents(layers, crs)
cellsize = self.parameterAsDouble(parameters, self.CELLSIZE, context)
if not layers and cellsize == 0:
raise QgsProcessingException(self.tr("No reference layer selected nor cellsize value provided"))
def _cellsize(layer):
ext = layer.extent()
if layer.crs() != crs:
transform = QgsCoordinateTransform(layer.crs(), crs, context.project())
ext = transform.transformBoundingBox(ext)
return (ext.xMaximum() - ext.xMinimum()) / layer.width()
if cellsize == 0:
cellsize = min([_cellsize(lyr) for lyr in layersDict.values()])
for lyr in QgsProcessingUtils.compatibleRasterLayers(context.project()):
name = lyr.name()
if (name + "@") in expression:
layersDict[name] = lyr
entries = []
for name, lyr in layersDict.items():
for n in range(lyr.bandCount()):
ref = '{:s}@{:d}'.format(name, n + 1)
if ref in expression:
entry = QgsRasterCalculatorEntry()
entry.ref = ref
entry.raster = lyr
entry.bandNumber = n + 1
entries.append(entry)
output = self.parameterAsOutputLayer(parameters, self.OUTPUT, context)
width = math.floor((bbox.xMaximum() - bbox.xMinimum()) / cellsize)
height = math.floor((bbox.yMaximum() - bbox.yMinimum()) / cellsize)
driverName = GdalUtils.getFormatShortNameFromFilename(output)
calc = QgsRasterCalculator(expression,
output,
driverName,
bbox,
crs,
width,
height,
entries)
res = calc.processCalculation(feedback)
if res == QgsRasterCalculator.ParserError:
raise QgsProcessingException(self.tr("Error parsing formula"))
return {self.OUTPUT: output}
##reflectance_mult=number 0
##reflectance_add=number 0
##sun_elevation=number 0
##inImage=raster
##outImage=output raster
from qgis.analysis import QgsRasterCalculator, QgsRasterCalculatorEntry
lyr = processing.getObject(inImage)
entries=[]
rasterCalcEntry=QgsRasterCalculatorEntry()
rasterCalcEntry.ref='IMG@1'
rasterCalcEntry.raster=lyr
rasterCalcEntry.bandNumber=1
entries.append(rasterCalcEntry)
if not ".tif" in outImage:
outImage=outImage+".tif"
noData=-3.4028234663852886e+38
radElev = sun_elevation*3.14159/180
calc=QgsRasterCalculator('(IMG@1 != 0)*('+str(reflectance_mult)+' * IMG@1 + '+str(reflectance_add)+')/sin('+str(radElev)+') + (IMG@1 = 0) * '+str(noData), outImage, "GTiff", lyr.extent(), lyr.crs(), lyr.width(), lyr.height(), entries)
calc.processCalculation()
def StringToRaster(raster):
# Check if string is provided
fileInfo = QFileInfo(raster)
path = fileInfo.filePath()
baseName = fileInfo.baseName()
layer = QgsRasterLayer(path, baseName)
#QgsMapLayerRegistry.instance().addMapLayer(layer)
entries = []
# Define band1
boh1 = QgsRasterCalculatorEntry()
boh1.ref = 'ndvi20160607sentinel@5'
boh1.raster = layer
boh1.bandNumber = 5
entries.append( boh1 )
# Process calculation with input extent and resolution
calc = QgsRasterCalculator( '(ndvi20160607sentinel@5) * 166.67 + 111.67', 'C:/Hackathon Farmhack data/Output/outputfile.tif', 'GTiff', layer.extent(), layer.width(), layer.height(), entries )
calc.processCalculation()
fileInfo = QFileInfo('C:/Hackathon Farmhack data/Output/outputfile.tif')
path = fileInfo.filePath()
baseName = fileInfo.baseName()
layer = QgsRasterLayer(path, baseName)
#QgsMapLayerRegistry.instance().addMapLayer(layer)
if layer.isValid() is True:
print "Layer was loaded successfully!"
else:
print "Unable to read basename and file path - Your string is probably invalid"
shape = QgsVectorLayer('C:/Hackathon Farmhack data/perceel-hier-rdnew.geojson', 'perceel', 'ogr')
#QgsMapLayerRegistry.instance().addMapLayer(shape)
xmin = (shape.extent().xMinimum()) #extract the minimum x coord from our layer
xmax = (shape.extent().xMaximum()) #extract our maximum x coord from our layer
ymin = (shape.extent().yMinimum()) #extract our minimum y coord from our layer
ymax = (shape.extent().yMaximum()) #extract our maximum y coord from our layer
#prepare the extent in a format the VectorGrid tool can interpret (xmin,xmax,ymin,ymax)
extent = str(xmin)+ ',' + str(xmax)+ ',' +str(ymin)+ ',' +str(ymax)
# raster the given shape
processing.runalg('qgis:vectorgrid', extent, 20, 20, 0, 'C:/Hackathon Farmhack data/Output/rasterShapes.geojson')
shapeRaster = QgsVectorLayer('C:/Hackathon Farmhack data/Output/rasterShapes.geojson', 'perceelRaster', 'ogr')
shapeRaster.setCrs(QgsCoordinateReferenceSystem(28992, QgsCoordinateReferenceSystem.EpsgCrsId))
#QgsMapLayerRegistry.instance().addMapLayer(shapeRaster)
#clip the raster returned
processing.runalg('qgis:clip', shapeRaster, shape, 'C:/Hackathon Farmhack data/Output/clippedRaster.shp')
#define oldPath and newPath
ogr2ogr.main(["","-f", "ESRI Shapefile", "-s_srs", "epsg:28992", "-t_srs", "epsg:32632", "C:/Hackathon Farmhack data/Output/clippedRasterNew.shp", "C:/Hackathon Farmhack data/Output/clippedRaster.shp"])
clippedRaster = QgsVectorLayer('C:/Hackathon Farmhack data/Output/clippedRasterNew.shp', 'clippedRaster', 'ogr')
clippedRaster.setCrs(QgsCoordinateReferenceSystem(32632, QgsCoordinateReferenceSystem.EpsgCrsId))
#QgsMapLayerRegistry.instance().addMapLayer(clippedRaster)
#zonalstatistics
processing.runalg('qgis:zonalstatistics', layer, 1, clippedRaster, '', False, 'C:/Hackathon Farmhack data/Output/filledRaster.geojson')
filledRaster = QgsVectorLayer('C:/Hackathon Farmhack data/Output/filledRaster.geojson', 'filledRaster', 'ogr')
filledRaster.setCrs(QgsCoordinateReferenceSystem(32632, QgsCoordinateReferenceSystem.EpsgCrsId))
#QgsMapLayerRegistry.instance().addMapLayer(filledRaster)
ogr2ogr.main(["","-f", "GeoJSON", "-s_srs", "epsg:32632", "-t_srs", "epsg:4326", "C:/Hackathon Farmhack data/Output/taakkaart.geojson", "C:/Hackathon Farmhack data/Output/filledRaster.geojson"])
taakkaart = QgsVectorLayer('C:/Hackathon Farmhack data/Output/taakkaart.geojson', 'taakkaart', 'ogr')
QgsMapLayerRegistry.instance().addMapLayer(taakkaart)
