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 Calibracao (imagem, output): entries = [] raster1 = QgsRasterCalculatorEntry() raster1.ref = 'imagem@1' raster1.raster = imagem raster1.bandNumber = 1 entries.append (raster1) calc =QgsRasterCalculator ('0.9614*imagem@1 - 65.706', output, 'GTiff', imagem.extent(), imagem.width(), imagem.height(), entries) calc.processCalculation()
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 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 Evapo (imagem, output): entries = [] raster1 = QgsRasterCalculatorEntry() raster1.ref = 'imagem@1' raster1.raster = imagem raster1.bandNumber = 1 entries.append (raster1) calc =QgsRasterCalculator ('imagem@1 * 0.1', output, 'GTiff', imagem.extent(), imagem.width(), imagem.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 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 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 processAlgorithm(self, parameters, context, model_feedback): # Use a multi-step feedback, so that individual child algorithm progress reports are adjusted for the # overall progress through the model sample_raster = self.parameterAsRasterLayer(parameters, 'SAMPLE', context) layers = self.parameterAsLayerList(parameters, 'LAYERS', context) letter_order = "ABCDEFGHIJKLMNOPQRSTUVWXYZ" raster_entries = [] for idx, raster_layer in enumerate(layers): for band in range(1, raster_layer.bandCount() + 1): raster_entry = QgsRasterCalculatorEntry() raster_entry.raster = raster_layer raster_entry.bandNumber = band raster_entry.ref = "{}@{}".format(letter_order[idx], band) print(raster_entry.ref) raster_entries.append(raster_entry) #output_raster_path = os.path.join(tempfile.mkdtemp(),"OUTPUT.tif") #output_raster_path = parameters['OUTPUT'] output_raster_path = self.parameterAsOutputLayer( parameters, 'OUTPUT', context) tc = QgsCoordinateTransformContext( QgsProject.instance().transformContext()) print('extent', sample_raster.extent()) print('widht', sample_raster.width()) print('height', sample_raster.height()) print(type(sample_raster.extent())) calc = QgsRasterCalculator(parameters['FORMULA'], output_raster_path, 'GTiff', sample_raster.extent(), sample_raster.width(), sample_raster.height(), raster_entries, tc) print("COPERNICUSRASTERCALC", parameters['FORMULA'], output_raster_path, 'GTiff', sample_raster.extent(), sample_raster.width(), sample_raster.height(), raster_entries, tc) #return results if calc.processCalculation() == 0: rasterCalcError = "No error" results = {'ERROR': '', 'OUTPUT': output_raster_path} else: rasterCalcError = calc.lastError() results = {'OUTPUT': '', 'ERROR': rasterCalcError} return results
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 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. rasterInput = self.parameterAsRasterLayer( parameters, self.INPUT, context ) outputFile = self.parameterAsOutputLayer( parameters, self.OUTPUT, context ) feedback.pushInfo('Output File: ' + outputFile) rExtent = rasterInput.extent() provider = rasterInput.dataProvider() stats = provider.bandStatistics(1, QgsRasterBandStats.All, rExtent, 0) minVal = stats.minimumValue maxVal = stats.maximumValue rCalcEntry = QgsRasterCalculatorEntry() rCalcEntry.ref = 'r1@1' rCalcEntry.raster = rasterInput SMethod = self.parameterAsEnum(parameters, self.CHOICE_METHOD, context) if SMethod == 0: formula = '((r1@1 - %s) / (%s - %s))' % (minVal, maxVal, minVal) elif SMethod == 1: formula = '((%s - r1@1 ) / (%s - %s))' % (maxVal, maxVal, minVal) feedback.pushInfo('Formula: ' + str(formula)) calc = QgsRasterCalculator(formula, outputFile, 'GTiff', rExtent, rasterInput.width(), rasterInput.height(), [rCalcEntry]) feedback.pushInfo("p calc1") calc.processCalculation() feedback.pushInfo("p calc1") return {self.OUTPUT: outputFile}
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 executeCalculations(self): for root, dirs, files in os.walk(self.rootDir): for dir in dirs: newDir = self.rootDir + '/' + dir print("------------------------------") print("SCANNING DIRECTORY: " + newDir) #Variables needed for raster calculation rasIndex = 1 ras = [] entries = [] rlayers = [] for subRoot, subDirs, subFiles in os.walk(newDir): #print("Subfiles of directory: " + str(subFiles)) for fileName in subFiles: if (fileName.endswith(".tif") and fileName[len(fileName) - 5] != "A" and fileName[len(fileName) - 7] != "B"): print("Evaluating SRB TIF file of band " + fileName[len(fileName) - 5] + ": " + fileName) #Figure out properties of file tifFile = newDir + '/' + fileName # + ".tif" bandNumber = fileName[len(fileName) - 5] #Create a raster layer rlayer = QgsRasterLayer(tifFile, "Band" + bandNumber) if not rlayer.isValid(): print("Layer failed to load!") continue rlayers.append(rlayer) #Create a raster calculator entry ref = 'lyr@' + str(rasIndex) ras = QgsRasterCalculatorEntry() ras.ref = ref ras.raster = rlayer ras.bandNumber = 1 entries.append(ras) rasIndex += 1 if (len(rlayers) > 0 and len(entries) > 0): #Obtain desired output path outDir = self.obtainOutDir(dir) #Calculate average for this directory self.calculateAvgAndOutput(rlayers, entries, outDir)
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 calc_11_e(self, dir_output, dir_pv, dir_c_kecil_11, temp_folder, val_tir2emissivitys, val_tir2emissivityv): self.dir_output = dir_output self.path = os.path.join(str(Path(dir_output).parent), 'temp_folder', '') self.temp_folder = temp_folder self.dir_pv = dir_pv self.dir_c_kecil_11 = dir_c_kecil_11 self.dir_output_temp = self.path + '11 - e.tif' self.val_tir2emissivitys = val_tir2emissivitys self.val_tir2emissivityv = val_tir2emissivityv entries = [] pv = QgsRasterLayer(self.dir_pv) ras = QgsRasterCalculatorEntry() ras.ref = 'Pv@1' ras.raster = pv ras.bandNumber = 1 entries.append(ras) c_kecil_11 = QgsRasterLayer(self.dir_c_kecil_11) ras = QgsRasterCalculatorEntry() ras.ref = '11 - c kecil@1' ras.raster = c_kecil_11 ras.bandNumber = 1 entries.append(ras) if self.temp_folder == 'yes': calc = QgsRasterCalculator( str(self.val_tir2emissivityv) + ' * "Pv@1" + ' + str(self.val_tir2emissivitys) + ' * ( 1 - "Pv@1" ) + "11 - c kecil@1"', self.dir_output_temp, 'GTiff', c_kecil_11.extent(), c_kecil_11.width(), c_kecil_11.height(), entries) calc.processCalculation() elif self.temp_folder == 'no': calc = QgsRasterCalculator( str(self.val_tir2emissivityv) + ' * "Pv@1" + ' + str(self.val_tir2emissivitys) + ' * ( 1 - "Pv@1" ) + "11 - c kecil@1"', self.dir_output, 'GTiff', c_kecil_11.extent(), c_kecil_11.width(), c_kecil_11.height(), entries) calc.processCalculation() iface.addRasterLayer(str(self.dir_output))
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 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 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 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 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 qgs_map_calculator(self, rasterLayer, temp_path, red, green, blue): entries = [] # Define 3 bands rasterFilterQgs = '( temp@1 = ' + str(red) + 'AND temp@2 = ' + str( green) + 'AND temp@3 = ' + str(blue) + ') * 1' for i in range(3): ent = QgsRasterCalculatorEntry() ent.ref = 'temp@' + str(i + 1) ent.raster = rasterLayer ent.bandNumber = i + 1 entries.append(ent) file = temp_path + '/temp_qgs.tif' calc = QgsRasterCalculator(rasterFilterQgs, file, 'GTiff', rasterLayer.extent(), rasterLayer.width(), rasterLayer.height(), entries) calc.processCalculation() return file
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 processSlopeHighpassAlgorithm(self, INPUT_CUTOFF, INPUT_SLOPE, INPUT_EXTENT, OUTPUT_FILE, feedback): if (os.path.isfile(OUTPUT_FILE)): return 0 ras = QgsRasterCalculatorEntry() ras.ref = 'slope@1' ras.raster = INPUT_SLOPE ras.bandNumber = 1 entries = [ras] calc = QgsRasterCalculator('slope@1 >= {}'.format(INPUT_CUTOFF), OUTPUT_FILE, 'GTiff', INPUT_EXTENT, ras.raster.width(), ras.raster.height(), entries) return 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 calc_a0(self, dir_output, dir_E1, dir_E2, temp_folder, A10, A11): self.dir_output = dir_output self.path = os.path.join(str(Path(dir_output).parent), 'temp_folder', '') self.temp_folder = temp_folder self.dir_E1 = dir_E1 self.dir_E2 = dir_E2 self.dir_output_temp = self.path + 'A0.tif' self.A10 = A10 self.A11 = A11 entries = [] E1 = QgsRasterLayer(self.dir_E1) ras = QgsRasterCalculatorEntry() ras.ref = 'E1@1' ras.raster = E1 ras.bandNumber = 1 entries.append(ras) E2 = QgsRasterLayer(self.dir_E2) ras = QgsRasterCalculatorEntry() ras.ref = 'E2@1' ras.raster = E2 ras.bandNumber = 1 entries.append(ras) if self.temp_folder == 'yes': calc = QgsRasterCalculator( '"E1@1" * ' + self.A10 + ' + "E2@1" * ' + self.A11, self.dir_output_temp, 'GTiff', E2.extent(), E2.width(), E2.height(), entries) calc.processCalculation() elif self.temp_folder == 'no': calc = QgsRasterCalculator( '"E1@1" * ' + self.A10 + ' + "E2@1" * ' + self.A11, self.dir_output, 'GTiff', E2.extent(), E2.width(), E2.height(), entries) calc.processCalculation() iface.addRasterLayer(str(self.dir_output))
def raster_calculator_from_config(qgs_raster_layers, expression_alias, expression_template, qgs_raster_base_layer, output_raster, band=1): """ Apply raster calculator using layers name. :param qgs_raster_layers: A list with QgsRasterLayer. :param expression_alias: A list with expression alias. Example: ['v', 's', 'a', 'r', 'e']. :param expression_template: A string with expression template. Example: '1 + (100 * "{v}") + (30 * "{s}")+ (10 * "{a}") + (5 * "{r}") + (2 * "{e}")'. :param qgs_raster_base_layer: A QgsRasterLayer to extract geotransform. :param output_raster: A string with output raster path. :param band: A int with band number to perform raster calculator. :return: A string with status message. """ if len(qgs_raster_layers) != len(expression_alias): raise ValueError(u'Layers count({}) differ from expression alias ({})'.format(len(qgs_raster_layers), len(expression_alias))) entries = [] alias = {} elements_idx = 0 if not qgs_raster_base_layer or not qgs_raster_base_layer.isValid(): raise ValueError(u'Base layer "{}" does not exist or is not valid'.format(qgs_raster_base_layer)) for layer in qgs_raster_layers: layer_name = layer.name() if not layer.isValid(): result = 6 msg = u'Layer "{}" not valid.'.format(layer_name) return result, msg else: ref = layer_name + unicode('@' + str(band)) entry = QgsRasterCalculatorEntry() entry.ref = ref entry.raster = layer entry.bandNumber = band entries.append(entry) alias[expression_alias[elements_idx]] = ref elements_idx += 1 expression = expression_template.format(**alias) __logger.info(u'Running raster calculator with expression: {}...'.format(expression)) return raster_calculator(entries, qgs_raster_base_layer, output_raster, expression)
def NDWI(band3, band8, output): entries = [] #define raster 1 (band8) raster1 = QgsRasterCalculatorEntry() raster1.ref = 'band8@1' raster1.raster = band8 raster1.bandNumber = 1 entries.append(raster1) #define raster 2 (band3) raster2 = QgsRasterCalculatorEntry() raster2.ref = 'band3@1' raster2.raster = band3 raster2.bandNumber = 1 entries.append(raster2) #NDWI Procesado de las bandas # calc=QgsRasterCalculator('("band3@1"-"band8@1")/("band3@1"+"band8@1")',output,'GTiff',band8.extent(),band8.width(),band8.height(),entries) calc = QgsRasterCalculator( '(("band3@1"-"band8@1")/("band3@1"+"band8@1"))*100', output, 'GTiff', band8.extent(), band8.width(), band8.height(), entries) calc.processCalculation()
def calc_11_ckecil(self, dir_output, dir_pv, temp_folder, val_tir2emissivitys, val_tir2emissivityv, val_geometrical): self.dir_output = dir_output self.path = os.path.join(str(Path(dir_output).parent), 'temp_folder', '') self.temp_folder = temp_folder self.dir_pv = dir_pv self.dir_output_temp = self.path + '11 - c kecil.tif' self.val_tir2emissivitys = val_tir2emissivitys self.val_tir2emissivityv = val_tir2emissivityv self.val_geometrical = val_geometrical entries = [] pv = QgsRasterLayer(self.dir_pv) ras = QgsRasterCalculatorEntry() ras.ref = 'Pv@1' ras.raster = pv ras.bandNumber = 1 entries.append(ras) if self.temp_folder == 'yes': calc = QgsRasterCalculator( '( 1 - ' + str(self.val_tir2emissivitys) + ' ) * ' + str(self.val_tir2emissivityv) + ' * ' + str(self.val_geometrical) + ' * ( 1 - "Pv@1" )', self.dir_output_temp, 'GTiff', pv.extent(), pv.width(), pv.height(), entries) calc.processCalculation() elif self.temp_folder == 'no': calc = QgsRasterCalculator( '( 1 - ' + str(self.val_tir2emissivitys) + ' ) * ' + str(self.val_tir2emissivityv) + ' * ' + str(self.val_geometrical) + ' * ( 1 - "Pv@1" )', self.dir_output, 'GTiff', pv.extent(), pv.width(), pv.height(), entries) calc.processCalculation() iface.addRasterLayer(str(self.dir_output))
def calc_ipvi(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}/({0} + {1})'.format(ir.ref, r.ref) calc = QgsRasterCalculator(expression, self.output, "GTiff", self.red.extent(), self.red.width(), self.red.height(), entries) calc.processCalculation()
def processWithRasterCalculator(self, parameters, context, feedback): #pylint: disable=unused-argument,missing-docstring raster1 = self.parameterAsRasterLayer(parameters, self.RASTER1, context) band1 = self.parameterAsInt(parameters, self.BAND1, context) raster2 = self.parameterAsRasterLayer(parameters, self.RASTER2, context) band2 = self.parameterAsInt(parameters, self.BAND2, context) output = self.parameterAsOutputLayer(parameters, self.OUTPUT, context) bbox = raster1.extent() # cellsize = (bbox.xMaximum() - bbox.xMinimum()) / raster1.width() # width = round((bbox.xMaximum() - bbox.xMinimum()) / cellsize) # height = round((bbox.yMaximum() - bbox.yMinimum()) / cellsize) width = raster1.width() height = raster1.height() driver = GdalUtils.getFormatShortNameFromFilename(output) crs = raster1.crs() entry1 = QgsRasterCalculatorEntry() entry1.ref = 'A@%d' % band1 entry1.raster = raster1 entry1.bandNumber = 1 entry2 = QgsRasterCalculatorEntry() entry2.ref = 'B@%d' % band2 entry2.raster = raster2 entry2.bandNumber = 1 entries = [entry1, entry2] expression = "A@%d - B@%d" % (band1, band2) calc = QgsRasterCalculator(expression, output, driver, bbox, crs, width, height, entries) res = calc.processCalculation(feedback) if res == QgsRasterCalculator.ParserError: raise QgsProcessingException(self.tr("Error parsing formula")) return {self.OUTPUT: output}
def multiply_pop_second_impacts(self): tempdir = self.gettempdir() second_list = self.second_impact_rasters() pop_boundary_fullpath = self.pop_boundary() # Get Population area layer info. fileInfo = QFileInfo(pop_boundary_fullpath) poplyrName = fileInfo.baseName() poplyr = QgsRasterLayer(pop_boundary_fullpath, poplyrName) # poplyrName = pop_layer.name() popras = QgsRasterCalculatorEntry() popras.ref = poplyrName + '@1' popras.raster = poplyr popras.bandNumber = 1 second_pop_list = [] # multiply lulc classes with first impact class layers. for fullpathlayer1 in second_list: fileInfo1 = QFileInfo(fullpathlayer1) baseName1 = fileInfo1.baseName() firstlyr = processing.getObject(str(fullpathlayer1)) ras1 = QgsRasterCalculatorEntry() ras1.ref = baseName1 + '@1' ras1.raster = firstlyr ras1.bandNumber = 1 entries1 = [] entries1.append(popras) entries1.append(ras1) formula1 = "\"" + ras1.ref + "\"" + ' * ' + "\"" + popras.ref + "\"" output1 = tempdir + "/%s_%s.tif" % (str(baseName1), str(poplyrName)) second_pop_list.append(output1) calc1 = QgsRasterCalculator(formula1, output1, 'GTiff', firstlyr.extent(), firstlyr.width(), firstlyr.height(), entries1) calc1.processCalculation() del entries1 return second_pop_list
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 calc_pv(self, dir_output, dir_ndvi, temp_folder, val_ndvis, val_ndviv): self.dir_output = dir_output self.path = os.path.join(str(Path(dir_output).parent), 'temp_folder', '') self.temp_folder = temp_folder self.dir_ndvi = dir_ndvi self.dir_output_temp = self.path + 'Pv.tif' self.val_ndvis = val_ndvis self.val_ndviv = val_ndviv entries = [] ndvi = QgsRasterLayer(self.dir_ndvi) ras = QgsRasterCalculatorEntry() ras.ref = 'ndvi@1' ras.raster = ndvi ras.bandNumber = 1 entries.append(ras) if self.temp_folder == 'yes': calc = QgsRasterCalculator( '( ( "ndvi@1" - ' + str(self.val_ndvis) + ' ) / ( ' + str(self.val_ndviv) + ' - ' + str(self.val_ndvis) + ' ) ) * ( ( "ndvi@1" - ' + str(self.val_ndvis) + ' ) / ( ' + str(self.val_ndviv) + ' - ' + str(self.val_ndvis) + ' ) )', self.dir_output_temp, 'GTiff', ndvi.extent(), ndvi.width(), ndvi.height(), entries) calc.processCalculation() elif self.temp_folder == 'no': calc = QgsRasterCalculator( '( ( "ndvi@1" - ' + str(self.val_ndvis) + ' ) / ( ' + str(self.val_ndviv) + ' - ' + str(self.val_ndvis) + ' ) ) * ( ( "ndvi@1" - ' + str(self.val_ndvis) + ' ) / ( ' + str(self.val_ndviv) + ' - ' + str(self.val_ndvis) + ' ) )', self.dir_output, 'GTiff', ndvi.extent(), ndvi.width(), ndvi.height(), entries) calc.processCalculation() iface.addRasterLayer(str(self.dir_output))
def calc_a2(self, dir_output, dir_A, dir_E2, temp_folder, B11): self.dir_output = dir_output self.path = os.path.join(str(Path(dir_output).parent), 'temp_folder', '') self.temp_folder = temp_folder self.dir_A = dir_A self.dir_E2 = dir_E2 self.dir_output_temp = self.path + 'A2.tif' self.B11 = B11 entries = [] A = QgsRasterLayer(self.dir_A) ras = QgsRasterCalculatorEntry() ras.ref = 'A@1' ras.raster = A ras.bandNumber = 1 entries.append(ras) E2 = QgsRasterLayer(self.dir_E2) ras = QgsRasterCalculatorEntry() ras.ref = 'E2@1' ras.raster = E2 ras.bandNumber = 1 entries.append(ras) if self.temp_folder == 'yes': calc = QgsRasterCalculator('"A@1" + "E2@1" * ' + self.B11 + ' ', self.dir_output_temp, 'GTiff', E2.extent(), E2.width(), E2.height(), entries) calc.processCalculation() elif self.temp_folder == 'no': calc = QgsRasterCalculator('"A@1" + "E2@1" * ' + self.B11 + ' ', self.dir_output, 'GTiff', E2.extent(), E2.width(), E2.height(), entries) calc.processCalculation() iface.addRasterLayer(str(self.dir_output))
def calc_a1(self, dir_output, dir_A, dir_E1, temp_folder, B10): self.dir_output = dir_output self.path = os.path.join(str(Path(dir_output).parent), 'temp_folder', '') self.temp_folder = temp_folder self.dir_A = dir_A self.dir_E1 = dir_E1 self.dir_output_temp = self.path + 'A1.tif' self.B10 = B10 entries = [] A = QgsRasterLayer(self.dir_A) ras = QgsRasterCalculatorEntry() ras.ref = 'A@1' ras.raster = A ras.bandNumber = 1 entries.append(ras) E1 = QgsRasterLayer(self.dir_E1) ras = QgsRasterCalculatorEntry() ras.ref = 'E1@1' ras.raster = E1 ras.bandNumber = 1 entries.append(ras) if self.temp_folder == 'yes': calc = QgsRasterCalculator('1 + "A@1" + "E1@1" * ' + self.B10, self.dir_output_temp, 'GTiff', E1.extent(), E1.width(), E1.height(), entries) calc.processCalculation() elif self.temp_folder == 'no': calc = QgsRasterCalculator('1 + "A@1" + "E1@1" * ' + self.B10, self.dir_output, 'GTiff', E1.extent(), E1.width(), E1.height(), entries) calc.processCalculation() iface.addRasterLayer(str(self.dir_output))
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 setList(self, options): self.options = options self.listWidget.clear() entries = QgsRasterCalculatorEntry.rasterEntries() def _find_source(name): for entry in entries: if entry.ref == name: return entry.raster.source() return '' for name in options.keys(): item = QListWidgetItem(name, self.listWidget) tooltip = _find_source(name) if tooltip: item.setData(Qt.ToolTipRole, tooltip) self.listWidget.addItem(item)
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)
##inImage_red=raster ##inImage_nir=raster ##outImage=output raster from qgis.analysis import QgsRasterCalculator, QgsRasterCalculatorEntry lyr = processing.getObject(inImage_red) entries=[] rasterCalcEntry=QgsRasterCalculatorEntry() rasterCalcEntry.ref='R@1' rasterCalcEntry.raster=lyr rasterCalcEntry.bandNumber=1 entries.append(rasterCalcEntry) lyr = processing.getObject(inImage_nir) rasterCalcEntry=QgsRasterCalculatorEntry() rasterCalcEntry.ref='NIR@1' rasterCalcEntry.raster=lyr rasterCalcEntry.bandNumber=1 entries.append(rasterCalcEntry) if not ".tif" in outImage: outImage=outImage+".tif" noData=-3.4028234663852886e+38 calc=QgsRasterCalculator('1.0*(NIR@1 - R@1)/(NIR@1 + R@1)+0.0', outImage, "GTiff", lyr.extent(), lyr.crs(), lyr.width(), lyr.height(), entries) calc.processCalculation()
def _get_options(self): entries = QgsRasterCalculatorEntry.rasterEntries() options = {} for entry in entries: options[entry.ref] = entry.ref return options