Python gdal.GDT_Float32方法代碼示例

# 需要導入模塊: from osgeo import gdal [as 別名]
# 或者: from osgeo.gdal import GDT_Float32 [as 別名]
def make_tif(path, tloffset=(0, 0), reso=(0.25, -0.25), rsize=(20, 10),
             proj=SRS[0]['wkt'], channel_count=1, dtype=gdal.GDT_Float32):
    """Create a tiff files and return info about it"""
    tl = ROOT_TL + tloffset
    reso = np.asarray(reso)
    fp = buzz.Footprint(tl=tl, rsize=rsize, size=np.abs(reso * rsize))
    x, y = fp.meshgrid_spatial
    x = np.abs(x) - abs(ROOT_TL[0])
    y = abs(ROOT_TL[1]) - np.abs(y)
    x *= 15
    y *= 15
    a = x / 2 + y / 2
    a = np.around(a).astype('float32')
    driver = gdal.GetDriverByName('GTiff')
    dataset = driver.Create(path, rsize[0], rsize[1], channel_count, dtype)
    dataset.SetGeoTransform(fp.gt)
    dataset.SetProjection(proj)
    for i in range(channel_count):
        dataset.GetRasterBand(i + 1).WriteArray(a)
        dataset.GetRasterBand(i + 1).SetNoDataValue(-32000.)
    dataset.FlushCache()
    return path, fp, a 

# 需要導入模塊: from osgeo import gdal [as 別名]
# 或者: from osgeo.gdal import GDT_Float32 [as 別名]
def writeRaster(arr, out_path, template):
    no_data = 0
    # First of all, gather some information from the template file
    data = gdal.Open(template)
    [cols, rows] = arr.shape
    trans = data.GetGeoTransform()
    proj = data.GetProjection()
    # nodatav = 0 #data.GetNoDataValue()
    # Create the file, using the information from the template file
    outdriver = gdal.GetDriverByName("GTiff")
    # http://www.gdal.org/gdal_8h.html
    # GDT_Byte = 1, GDT_UInt16 = 2, GDT_UInt32 = 4, GDT_Int32 = 5, GDT_Float32 = 6,
    outdata   = outdriver.Create(str(out_path), rows, cols, 1, gdal.GDT_UInt32)
    # Write the array to the file, which is the original array in this example
    outdata.GetRasterBand(1).WriteArray(arr)
    # Set a no data value if required
    outdata.GetRasterBand(1).SetNoDataValue(no_data)
    # Georeference the image
    outdata.SetGeoTransform(trans)
    # Write projection information
    outdata.SetProjection(proj)
    return arr


# raster to vector 

# 需要導入模塊: from osgeo import gdal [as 別名]
# 或者: from osgeo.gdal import GDT_Float32 [as 別名]
def test_gdal_create_dataset(self):
        testfunc = io.gdal.gdal_create_dataset
        tmp = tempfile.NamedTemporaryFile(mode="w+b").name
        with pytest.raises(TypeError):
            testfunc("AIG", tmp)
        from osgeo import gdal

        with pytest.raises(TypeError):
            testfunc(
                "AAIGrid", tmp, cols=10, rows=10, bands=1, gdal_type=gdal.GDT_Float32
            )
        testfunc("GTiff", tmp, cols=10, rows=10, bands=1, gdal_type=gdal.GDT_Float32)
        testfunc(
            "GTiff",
            tmp,
            cols=10,
            rows=10,
            bands=1,
            gdal_type=gdal.GDT_Float32,
            remove=True,
        ) 

# 需要導入模塊: from osgeo import gdal [as 別名]
# 或者: from osgeo.gdal import GDT_Float32 [as 別名]
def write_geotiff(tiff_path, data, upper_left_lon, upper_left_lat, step, AREA_OR_POINT='Point'):
    """
    寫入geotiff。默認pixel is point，默認WGS84
    """
    rows, columns = data.shape
    bands = 1
    pixel_width = step
    pixel_height = -step
    half_step = step / 2
    upper_left_x = upper_left_lon - half_step
    upper_left_y = upper_left_lat + half_step
    driver = gdal.GetDriverByName('GTiff')
    dataset = driver.Create(tiff_path, columns, rows, bands, gdal.GDT_Float32)
    dataset.SetMetadataItem('AREA_OR_POINT', AREA_OR_POINT)
    dataset.SetGeoTransform([upper_left_x, pixel_width, 0,
                             upper_left_y, 0, pixel_height])
    # 獲取地理坐標係統信息，用於選取需要的地理坐標係統
    sr = osr.SpatialReference()
    sr.SetWellKnownGeogCS('WGS84')
    dataset.SetProjection(sr.ExportToWkt())  # 給新建圖層賦予投影信息
    dataset.GetRasterBand(1).WriteArray(data)
    dataset.FlushCache()  # 將數據寫入硬盤
    dataset = None 

# 需要導入模塊: from osgeo import gdal [as 別名]
# 或者: from osgeo.gdal import GDT_Float32 [as 別名]
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 

# 需要導入模塊: from osgeo import gdal [as 別名]
# 或者: from osgeo.gdal import GDT_Float32 [as 別名]
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 

# 需要導入模塊: from osgeo import gdal [as 別名]
# 或者: from osgeo.gdal import GDT_Float32 [as 別名]
def save_geotiff(self,filename, dtype=gdal.GDT_Float32, **kwargs):
        """
        Save a GeoTIFF of the raster currently loaded.

        Georeferenced and subset according to the current raster.

        :params filename: the path and filename to save the file to.
        :type filename: str
        :params dtype: GDAL datatype, defaults to Float32.
        :type dtype: int

        :returns: 1 on success.
        :rtype: int

        """

        if self.r is None:
            raise ValueError('There are no image data loaded. No file can be created.')

        simple_write_geotiff(filename, self.r, self.trans, 
            wkt=self.srs.ExportToWkt(), dtype=dtype, **kwargs) 

# 需要導入模塊: from osgeo import gdal [as 別名]
# 或者: from osgeo.gdal import GDT_Float32 [as 別名]
def _create_geotiff_file(outfn, driver, shape, metadata, num_bands):
    dst = driver.Create(
        outfn,
        shape[1],
        shape[0],
        num_bands,
        gdal.GDT_Float32,
        ["COMPRESS=DEFLATE", "PREDICTOR=3"],
    )

    sx = (metadata["x2"] - metadata["x1"]) / shape[1]
    sy = (metadata["y2"] - metadata["y1"]) / shape[0]
    dst.SetGeoTransform([metadata["x1"], sx, 0.0, metadata["y2"], 0.0, -sy])

    sr = osr.SpatialReference()
    sr.ImportFromProj4(metadata["projection"])
    dst.SetProjection(sr.ExportToWkt())

    return dst 

# 需要導入模塊: from osgeo import gdal [as 別名]
# 或者: from osgeo.gdal import GDT_Float32 [as 別名]
def make_tif2(path, reso=(1., -1.), rsize=(10, 10), tl=(0., 10.),
              proj=SRS[0]['wkt'], channel_count=1, dtype=gdal.GDT_Float32,
              nodata=-32000, nodata_border_size=(0, 0, 0, 0)):
    """Create a tiff files"""
    reso = np.asarray(reso)
    fp = buzz.Footprint(tl=tl, rsize=rsize, size=np.abs(reso * rsize))
    x, y = fp.meshgrid_raster
    a = x + y
    if nodata_border_size != 0:
        l, r, t, b = nodata_border_size
        if t != 0:
            a[None:t, None:None] = nodata
        if b != 0:
            a[-b:None, None:None] = nodata
        if l != 0:
            a[None:None, None:l] = nodata
        if r != 0:
            a[None:None, -r:None] = nodata

    LOGGER.info('TIFF ARRAY:%s\n', a)
    gdal.UseExceptions()
    driver = gdal.GetDriverByName('GTiff')
    dataset = driver.Create(path, int(rsize[0]), int(rsize[1]), channel_count, dtype)
    dataset.SetGeoTransform(fp.gt)
    dataset.SetProjection(proj)
    for i in range(channel_count):
        dataset.GetRasterBand(i + 1).WriteArray(a)
        dataset.GetRasterBand(i + 1).SetNoDataValue(nodata)
    dataset.FlushCache() 

# 需要導入模塊: from osgeo import gdal [as 別名]
# 或者: from osgeo.gdal import GDT_Float32 [as 別名]
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] 

# 需要導入模塊: from osgeo import gdal [as 別名]
# 或者: from osgeo.gdal import GDT_Float32 [as 別名]
def array2raster(rasterfn,newRasterfn,array,driver_name = "ENVI", noDataValue = -9999):
    """Takes an array and writes to a GDAL compatible raster. It needs another raster to map the dimensions.

    Args:
        FileName (str): The filename (with path and extension) of a raster that has the same dimensions as the raster to be written.
        newRasterfn (str): The filename (with path and extension) of the new raster.
        array (np.array): The array to be written
        driver_name (str): The type of raster to write. Default is ENVI since that is the LSDTOpoTools format
        noDataValue (float): The no data value

    Return:
        np.array: A numpy array with the data from the raster.

    Author: SMM
    """

    raster = gdal.Open(rasterfn)
    geotransform = raster.GetGeoTransform()
    originX = geotransform[0]
    originY = geotransform[3]
    pixelWidth = geotransform[1]
    pixelHeight = geotransform[5]
    cols = raster.RasterXSize
    rows = raster.RasterYSize

    driver = gdal.GetDriverByName(driver_name)
    outRaster = driver.Create(newRasterfn, cols, rows, 1, gdal.GDT_Float32)
    outRaster.SetGeoTransform((originX, pixelWidth, 0, originY, 0, pixelHeight))
    outRaster.GetRasterBand(1).SetNoDataValue( noDataValue )
    outband = outRaster.GetRasterBand(1)
    outband.WriteArray(array)
    outRasterSRS = osr.SpatialReference()
    outRasterSRS.ImportFromWkt(raster.GetProjectionRef())
    outRaster.SetProjection(outRasterSRS.ExportToWkt())
    outband.FlushCache()
#============================================================================== 

# 需要導入模塊: from osgeo import gdal [as 別名]
# 或者: from osgeo.gdal import GDT_Float32 [as 別名]
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 

# 需要導入模塊: from osgeo import gdal [as 別名]
# 或者: from osgeo.gdal import GDT_Float32 [as 別名]
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 

# 需要導入模塊: from osgeo import gdal [as 別名]
# 或者: from osgeo.gdal import GDT_Float32 [as 別名]
def dump_raster(rast, rast_path, driver='GTiff', gdt=None, nodata=None):
    '''
    Creates a raster file from a given gdal.Dataset instance. Arguments:
        rast        A gdal.Dataset; does NOT accept NumPy array
        rast_path   The path of the output raster file
        driver      The name of the GDAL driver to use (determines file type)
        gdt         The GDAL data type to use, e.g., see gdal.GDT_Float32
        nodata      The NoData value; defaults to -9999.
    '''
    if gdt is None:
        gdt = rast.GetRasterBand(1).DataType
    driver = gdal.GetDriverByName(driver)
    sink = driver.Create(
        rast_path, rast.RasterXSize, rast.RasterYSize, rast.RasterCount, int(gdt))
    assert sink is not None, 'Cannot create dataset; there may be a problem with the output path you specified'
    sink.SetGeoTransform(rast.GetGeoTransform())
    sink.SetProjection(rast.GetProjection())

    for b in range(1, rast.RasterCount + 1):
        dat = rast.GetRasterBand(b).ReadAsArray()
        sink.GetRasterBand(b).WriteArray(dat)
        sink.GetRasterBand(b).SetStatistics(*map(np.float64,
            [dat.min(), dat.max(), dat.mean(), dat.std()]))

        if nodata is None:
            nodata = rast.GetRasterBand(b).GetNoDataValue()

            if nodata is None:
                nodata = -9999

        sink.GetRasterBand(b).SetNoDataValue(np.float64(nodata))

    sink.FlushCache() 

# 需要導入模塊: from osgeo import gdal [as 別名]
# 或者: from osgeo.gdal import GDT_Float32 [as 別名]
def write(arr, filename):
        """
        Write image array to a file with the given filename.

        Args:
            arr (numpy.ndarray)
            filename (str)
        """
        driver = gdal.GetDriverByName('GTiff')
        x_size = arr.shape[1]
        y_size = arr.shape[0]
        dataset = driver.Create(filename, x_size, y_size,
                                eType=gdal.GDT_Float32)
        dataset.GetRasterBand(1).WriteArray(arr)