Python gdal.GDT_Int16方法代码示例

# 需要导入模块: import gdal [as 别名]
# 或者: from gdal import GDT_Int16 [as 别名]
def getDTfromGDAL(gdal_dt):
    """
    Returns datatype (numpy/scipy) from gdal_dt.

    Parameters
    ----------
    gdal_dt : datatype
        data.GetRasterBand(1).DataType

    Return
    ----------
    dt : datatype
    """
    if gdal_dt == gdal.GDT_Byte:
        dt = 'uint8'
    elif gdal_dt == gdal.GDT_Int16:
        dt = 'int16'
    elif gdal_dt == gdal.GDT_UInt16:
        dt = 'uint16'
    elif gdal_dt == gdal.GDT_Int32:
        dt = 'int32'
    elif gdal_dt == gdal.GDT_UInt32:
        dt = 'uint32'
    elif gdal_dt == gdal.GDT_Float32:
        dt = 'float32'
    elif gdal_dt == gdal.GDT_Float64:
        dt = 'float64'
    elif gdal_dt == gdal.GDT_CInt16 or gdal_dt == gdal.GDT_CInt32 or gdal_dt == gdal.GDT_CFloat32 or gdal_dt == gdal.GDT_CFloat64:
        dt = 'complex64'
    else:
        print('Data type unkown')
        # exit()
    return dt 

# 需要导入模块: import gdal [as 别名]
# 或者: from gdal import GDT_Int16 [as 别名]
def getGDALGDT(dt):
    """
    Need arr.dtype.name in entry.
    Returns gdal_dt from dt (numpy/scipy).

    Parameters
    ----------
    dt : datatype

    Return
    ----------
    gdal_dt : gdal datatype
    """
    if dt == 'bool' or dt == 'uint8':
        gdal_dt = gdal.GDT_Byte
    elif dt == 'int8' or dt == 'int16':
        gdal_dt = gdal.GDT_Int16
    elif dt == 'uint16':
        gdal_dt = gdal.GDT_UInt16
    elif dt == 'int32':
        gdal_dt = gdal.GDT_Int32
    elif dt == 'uint32':
        gdal_dt = gdal.GDT_UInt32
    elif dt == 'int64' or dt == 'uint64' or dt == 'float16' or dt == 'float32':
        gdal_dt = gdal.GDT_Float32
    elif dt == 'float64':
        gdal_dt = gdal.GDT_Float64
    elif dt == 'complex64':
        gdal_dt = gdal.GDT_CFloat64
    else:
        print('Data type non-suported')
        # exit()

    return gdal_dt 

# 需要导入模块: import gdal [as 别名]
# 或者: from gdal import GDT_Int16 [as 别名]
def gdal_dataset(out_fname, columns, rows, driver="GTiff", bands=1,
                 dtype='float32', metadata=None, crs=None,
                 geotransform=None, creation_opts=None):
    """
    Initialises a py-GDAL dataset object for writing image data.
    """
    if dtype == 'float32':
        gdal_dtype = gdal.GDT_Float32
    elif dtype == 'int16':
        gdal_dtype = gdal.GDT_Int16
    else:
        # assume gdal.GDT val is passed to function
        gdal_dtype = dtype

    # create output dataset
    driver = gdal.GetDriverByName(driver)
    outds = driver.Create(out_fname, columns, rows, bands, gdal_dtype, options=creation_opts)

    # geospatial info
    outds.SetGeoTransform(geotransform)
    outds.SetProjection(crs)

    # add metadata
    if metadata is not None:
        for k, v in metadata.items():
            outds.SetMetadataItem(k, str(v))

    return outds 

# 需要导入模块: import gdal [as 别名]
# 或者: from gdal import GDT_Int16 [as 别名]
def open_data(filename):
    '''
    The function open and load the image given its name.
    The type of the data is checked from the file and the scipy array is initialized accordingly.
    Input:
        filename: the name of the file
    Output:
        im: the data cube
        GeoTransform: the geotransform information
        Projection: the projection information
    '''
    data = gdal.Open(filename, gdal.GA_ReadOnly)
    if data is None:
        print('Impossible to open ' + filename)
        # exit()
    nc = data.RasterXSize
    nl = data.RasterYSize
    d = data.RasterCount

    # Get the type of the data
    gdal_dt = data.GetRasterBand(1).DataType
    if gdal_dt == gdal.GDT_Byte:
        dt = 'uint8'
    elif gdal_dt == gdal.GDT_Int16:
        dt = 'int16'
    elif gdal_dt == gdal.GDT_UInt16:
        dt = 'uint16'
    elif gdal_dt == gdal.GDT_Int32:
        dt = 'int32'
    elif gdal_dt == gdal.GDT_UInt32:
        dt = 'uint32'

    elif gdal_dt == gdal.GDT_Float32:
        dt = 'float32'
    elif gdal_dt == gdal.GDT_Float64:
        dt = 'float64'
    elif gdal_dt == gdal.GDT_CInt16 or gdal_dt == gdal.GDT_CInt32 or gdal_dt == gdal.GDT_CFloat32 or gdal_dt == gdal.GDT_CFloat64:
        dt = 'complex64'
    else:
        print('Data type unkown')
        # exit()

    # Initialize the array
    if d == 1:
        im = np.empty((nl, nc), dtype=dt)
    else:
        im = np.empty((nl, nc, d), dtype=dt)

    if d == 1:
        im[:, :] = data.GetRasterBand(1).ReadAsArray()
    else:
        for i in range(d):
            im[:, :, i] = data.GetRasterBand(i + 1).ReadAsArray()

    GeoTransform = data.GetGeoTransform()
    Projection = data.GetProjection()
    data = None
    return im, GeoTransform, Projection 

# 需要导入模块: import gdal [as 别名]
# 或者: from gdal import GDT_Int16 [as 别名]
def Feature_to_Raster(input_shp, output_tiff,
                      cellsize, field_name=False, NoData_value=-9999):
    """
    Converts a shapefile into a raster
    """

    # Input
    inp_driver = ogr.GetDriverByName('ESRI Shapefile')
    inp_source = inp_driver.Open(input_shp, 0)
    inp_lyr = inp_source.GetLayer()
    inp_srs = inp_lyr.GetSpatialRef()

    # Extent
    x_min, x_max, y_min, y_max = inp_lyr.GetExtent()
    x_ncells = int((x_max - x_min) / cellsize)
    y_ncells = int((y_max - y_min) / cellsize)

    # Output
    out_driver = gdal.GetDriverByName('GTiff')
    if os.path.exists(output_tiff):
        out_driver.Delete(output_tiff)
    out_source = out_driver.Create(output_tiff, x_ncells, y_ncells,
                                   1, gdal.GDT_Int16)

    out_source.SetGeoTransform((x_min, cellsize, 0, y_max, 0, -cellsize))
    out_source.SetProjection(inp_srs.ExportToWkt())
    out_lyr = out_source.GetRasterBand(1)
    out_lyr.SetNoDataValue(NoData_value)

    # Rasterize
    if field_name:
        gdal.RasterizeLayer(out_source, [1], inp_lyr,
                            options=["ATTRIBUTE={0}".format(field_name)])
    else:
        gdal.RasterizeLayer(out_source, [1], inp_lyr, burn_values=[1])

    # Save and/or close the data sources
    inp_source = None
    out_source = None

    # Return
    return output_tiff 

# 需要导入模块: import gdal [as 别名]
# 或者: from gdal import GDT_Int16 [as 别名]
def Feature_to_Raster(input_shp, output_tiff, cellsize, field_name=False, NoData_value=-9999):
    """
    Converts a shapefile into a raster
    """

    # Input
    inp_driver = ogr.GetDriverByName('ESRI Shapefile')
    inp_source = inp_driver.Open(input_shp, 0)
    inp_lyr = inp_source.GetLayer()
    inp_srs = inp_lyr.GetSpatialRef()

    # Extent
    x_min, x_max, y_min, y_max = inp_lyr.GetExtent()
    x_ncells = int((x_max - x_min) / cellsize)
    y_ncells = int((y_max - y_min) / cellsize)

    # Output
    out_driver = gdal.GetDriverByName('GTiff')
    if os.path.exists(output_tiff):
        out_driver.Delete(output_tiff)
    out_source = out_driver.Create(output_tiff, x_ncells, y_ncells,1, gdal.GDT_Int16)
    print("+"*50)
    print(x_ncells, y_ncells,1, gdal.GDT_Int16)

    out_source.SetGeoTransform((x_min, cellsize, 0, y_max, 0, -cellsize))
    out_source.SetProjection(inp_srs.ExportToWkt())
    out_lyr = out_source.GetRasterBand(1)
    out_lyr.SetNoDataValue(NoData_value)

    # Rasterize
    # print(inp_lyr)
    if field_name:
        gdal.RasterizeLayer(out_source, [1], inp_lyr,options=["ATTRIBUTE={0}".format(field_name)])
    else:
        gdal.RasterizeLayer(out_source, [1], inp_lyr, burn_values=[1])

    # Save and/or close the data sources
    inp_source = None
    out_source = None

    # Return
    return output_tiff 

#geo_silhouettes