Example #1
0
    def processAlgorithm(self, progress):
        '''Here is where the processing itself takes place'''
        mask = self.getParameterValue(self.MASK)        
        output = self.getOutputValue(self.OUTPUT_RASTER)
        cs = self.getParameterValue(self.CS)
        ext = self.getParameterValue(self.EXTENT)
        
        if mask != None:
            src = gdal.Open(str(mask), gdalconst.GA_ReadOnly)
            mask = src.GetRasterBand(1).ReadAsArray()           
        try:
            ext = string.split(ext,",") # split 
        except AttributeError: # Extent was empty, raise error
            raise GeoAlgorithmExecutionException("Please set an extent for the generated raster")  # Processing            
        # Create output layer
        xmin = float(ext[0])
        xmax = float(ext[1])
        ymin = float(ext[2])
        ymax = float(ext[3])
        gt = (xmin,cs,0,ymax,0,-cs)
        nodata = -9999
        
        cols = int( round( (xmax-xmin)/cs ) )
        rows = int( round( (ymax-ymin)/cs ) )
        
        # Do the calc
        result = nlmpy.randomUniform01(rows, cols, mask=mask)

        # Create output raster
        func.createRaster(output,cols,rows,result,nodata,gt)
Example #2
0
 def processAlgorithm(self, progress):
     '''Here is where the processing itself takes place'''
     ncla = self.getParameterValue(self.CLASSES)        
     inputSource = self.getParameterValue(self.SOURCE)
     output = self.getOutputValue(self.OUTPUT_RASTER)
     cs = self.getParameterValue(self.CS)
     
     mask = self.getParameterValue(self.MASK)        
     if mask != None:
         src = gdal.Open(str(mask), gdalconst.GA_ReadOnly)
         mask = src.GetRasterBand(1).ReadAsArray()      
     
     # Source 
     src = gdal.Open(str(inputSource), gdalconst.GA_ReadOnly)
     src_geotrans = src.GetGeoTransform()
     cols = src.RasterXSize
     rows = src.RasterYSize
     nodata = src.GetRasterBand(1).GetNoDataValue() # keep the nodata value
     array = src.GetRasterBand(1).ReadAsArray()  
     
     # Classes
     cl = range(1,ncla+1)
             
     # Do the calc
     result = nlmpy.classifyArray(array,cl,mask)
                 
     # Create output raster
     func.createRaster(output,cols,rows,result,nodata,src_geotrans)
Example #3
0
 def processAlgorithm(self, progress):
     '''Here is where the processing itself takes place'''
     inputSource = self.getParameterValue(self.SOURCE)
     output = self.getOutputValue(self.OUTPUT_RASTER)
     cs = self.getParameterValue(self.CS)
     
     # Source 
     src = gdal.Open(str(inputSource), gdalconst.GA_ReadOnly)
     src_geotrans = src.GetGeoTransform()
     cols = src.RasterXSize
     rows = src.RasterYSize
     nodata = src.GetRasterBand(1).GetNoDataValue() # keep the nodata value
     array = src.GetRasterBand(1).ReadAsArray()  
     
     # Do the calc
     result = nlmpy.linearRescale01(array)
                 
     # Create output raster
     func.createRaster(output,cols,rows,result,nodata,src_geotrans)