Python osgeo.gdal.GDT_Float64() Examples
The following are 5
code examples of osgeo.gdal.GDT_Float64().
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Example #1
Source File: slicing.py From lidar with MIT License | 6 votes |
def polygonize(img,shp_path): # mapping between gdal type and ogr field type type_mapping = {gdal.GDT_Byte: ogr.OFTInteger, gdal.GDT_UInt16: ogr.OFTInteger, gdal.GDT_Int16: ogr.OFTInteger, gdal.GDT_UInt32: ogr.OFTInteger, gdal.GDT_Int32: ogr.OFTInteger, gdal.GDT_Float32: ogr.OFTReal, gdal.GDT_Float64: ogr.OFTReal, gdal.GDT_CInt16: ogr.OFTInteger, gdal.GDT_CInt32: ogr.OFTInteger, gdal.GDT_CFloat32: ogr.OFTReal, gdal.GDT_CFloat64: ogr.OFTReal} ds = gdal.Open(img) prj = ds.GetProjection() srcband = ds.GetRasterBand(1) dst_layername = "Shape" drv = ogr.GetDriverByName("ESRI Shapefile") dst_ds = drv.CreateDataSource(shp_path) srs = osr.SpatialReference(wkt=prj) dst_layer = dst_ds.CreateLayer(dst_layername, srs=srs) raster_field = ogr.FieldDefn('id', type_mapping[srcband.DataType]) dst_layer.CreateField(raster_field) gdal.Polygonize(srcband, srcband, dst_layer, 0, [], callback=None) del img, ds, srcband, dst_ds, dst_layer # convert images in a selected folder to shapefiles
Example #2
Source File: raster_processing.py From DsgTools with GNU General Public License v2.0 | 6 votes |
def getNumpyType(self, pixelType = gdal.GDT_Byte): ''' Translates the gdal raster type to numpy type pixelType: gdal raster type ''' if pixelType == gdal.GDT_Byte: return numpy.uint8 elif pixelType == gdal.GDT_UInt16: return numpy.uint16 elif pixelType == gdal.GDT_Int16: return numpy.int16 elif pixelType == gdal.GDT_UInt32: return numpy.uint32 elif pixelType == gdal.GDT_Int32: return numpy.int32 elif pixelType == gdal.GDT_Float32: return numpy.float32 elif pixelType == gdal.GDT_Float64: return numpy.float64
Example #3
Source File: HSV_fusion.py From DsgTools with GNU General Public License v2.0 | 6 votes |
def getNumpyType(self, pixelType = gdal.GDT_Byte): """ Translates the gdal raster type to numpy type pixelType: gdal raster type """ if pixelType == gdal.GDT_Byte: return numpy.uint8 elif pixelType == gdal.GDT_UInt16: return numpy.uint16 elif pixelType == gdal.GDT_Int16: return numpy.int16 elif pixelType == gdal.GDT_UInt32: return numpy.uint32 elif pixelType == gdal.GDT_Int32: return numpy.int32 elif pixelType == gdal.GDT_Float32: return numpy.float32 elif pixelType == gdal.GDT_Float64: return numpy.float64
Example #4
Source File: _gdal_gdt_conv.py From buzzard with Apache License 2.0 | 5 votes |
def _str_of_gdt(gdt): return { gdal.GDT_Byte: 'GDT_Byte', gdal.GDT_Int16: 'GDT_Int16', gdal.GDT_Int32: 'GDT_Int32', gdal.GDT_UInt16: 'GDT_UInt16', gdal.GDT_UInt32: 'GDT_UInt32', gdal.GDT_Float32: 'GDT_Float32', gdal.GDT_Float64: 'GDT_Float64', gdal.GDT_CFloat32: 'GDT_CFloat32', gdal.GDT_CFloat64: 'GDT_CFloat64', gdal.GDT_CInt16: 'GDT_CInt16', gdal.GDT_CInt32: 'GDT_CInt32', }[gdt]
Example #5
Source File: filling.py From lidar with MIT License | 5 votes |
def polygonize(img,shp_path): # mapping between gdal type and ogr field type type_mapping = {gdal.GDT_Byte: ogr.OFTInteger, gdal.GDT_UInt16: ogr.OFTInteger, gdal.GDT_Int16: ogr.OFTInteger, gdal.GDT_UInt32: ogr.OFTInteger, gdal.GDT_Int32: ogr.OFTInteger, gdal.GDT_Float32: ogr.OFTReal, gdal.GDT_Float64: ogr.OFTReal, gdal.GDT_CInt16: ogr.OFTInteger, gdal.GDT_CInt32: ogr.OFTInteger, gdal.GDT_CFloat32: ogr.OFTReal, gdal.GDT_CFloat64: ogr.OFTReal} ds = gdal.Open(img) prj = ds.GetProjection() srcband = ds.GetRasterBand(1) dst_layername = "Shape" drv = ogr.GetDriverByName("ESRI Shapefile") dst_ds = drv.CreateDataSource(shp_path) srs = osr.SpatialReference(wkt=prj) dst_layer = dst_ds.CreateLayer(dst_layername, srs=srs) # raster_field = ogr.FieldDefn('id', type_mapping[srcband.DataType]) raster_field = ogr.FieldDefn('id', type_mapping[gdal.GDT_Int32]) dst_layer.CreateField(raster_field) gdal.Polygonize(srcband, srcband, dst_layer, 0, [], callback=None) del img, ds, srcband, dst_ds, dst_layer # extract sinks from dem