Python gdal.RasterizeLayer方法代码示例

# 需要导入模块: import gdal [as 别名]
# 或者: from gdal import RasterizeLayer [as 别名]
def rasterize(data, vectorSrc, field, outFile):
    dataSrc = gdal.Open(data)
    import ogr
    shp = ogr.Open(vectorSrc)

    lyr = shp.GetLayer()

    driver = gdal.GetDriverByName('GTiff')
    dst_ds = driver.Create(
        outFile,
        dataSrc.RasterXSize,
        dataSrc.RasterYSize,
        1,
        gdal.GDT_UInt16)
    dst_ds.SetGeoTransform(dataSrc.GetGeoTransform())
    dst_ds.SetProjection(dataSrc.GetProjection())
    if field is None:
        gdal.RasterizeLayer(dst_ds, [1], lyr, None)
    else:
        OPTIONS = ['ATTRIBUTE=' + field]
        gdal.RasterizeLayer(dst_ds, [1], lyr, None, options=OPTIONS)

    data, dst_ds, shp, lyr = None, None, None, None
    return outFile 

# 需要导入模块: import gdal [as 别名]
# 或者: from gdal import RasterizeLayer [as 别名]
def calc_raster_terrain_fixed_elevation(crs, elevation, grid_size, raster_path, locator, x_max, x_min, y_max,
                                        y_min):
    # local variables:
    temp_shapefile = locator.get_temporary_file("terrain.shp")
    cols = int((x_max - x_min) / grid_size)
    rows = int((y_max - y_min) / grid_size)
    shapes = Polygon([[x_min, y_min], [x_max, y_min], [x_max, y_max], [x_min, y_max], [x_min, y_min]])
    geodataframe = Gdf(index=[0], crs=crs, geometry=[shapes])
    geodataframe.to_file(temp_shapefile)
    # 1) opening the shapefile
    source_ds = ogr.Open(temp_shapefile)
    source_layer = source_ds.GetLayer()
    target_ds = gdal.GetDriverByName('GTiff').Create(raster_path, cols, rows, 1, gdal.GDT_Float32)  ##COMMENT 2
    target_ds.SetGeoTransform((x_min, grid_size, 0, y_max, 0, -grid_size))  ##COMMENT 3
    # 5) Adding a spatial reference ##COMMENT 4
    target_dsSRS = osr.SpatialReference()
    target_dsSRS.ImportFromProj4(crs)
    target_ds.SetProjection(target_dsSRS.ExportToWkt())
    band = target_ds.GetRasterBand(1)
    band.SetNoDataValue(-9999)  ##COMMENT 5
    gdal.RasterizeLayer(target_ds, [1], source_layer, burn_values=[elevation])  ##COMMENT 6
    target_ds = None  # closing the file 

# 需要导入模块: import gdal [as 别名]
# 或者: from gdal import RasterizeLayer [as 别名]
def pts2raster(shapefile,RASTER_PATH,cellSize,field_name=False):
    from osgeo import gdal, ogr

    # Define pixel_size and NoData value of new raster
    pixel_size = cellSize
    NoData_value = -9999
    
    # Filename of input OGR file
    vector_ptsShp_fn = shapefile
    
    # Filename of the raster Tiff that will be created
    raster_ptsShp_fn = RASTER_PATH
    
    # Open the data source and read in the extent
    source_ds = ogr.Open(vector_ptsShp_fn)
    source_layer = source_ds.GetLayer()
    x_min, x_max, y_min, y_max = source_layer.GetExtent()
    
    # Create the destination data source
    x_res = int((x_max - x_min) / pixel_size)
    y_res = int((y_max - y_min) / pixel_size)
    target_ds = gdal.GetDriverByName('GTiff').Create(raster_ptsShp_fn, x_res, y_res, 1, gdal.GDT_Int32 )
    target_ds.SetGeoTransform((x_min, pixel_size, 0, y_max, 0, -pixel_size))
    band = target_ds.GetRasterBand(1)
    band.SetNoDataValue(NoData_value)
    
    # Rasterize
    # gdal.RasterizeLayer(target_ds, [1], source_layer, burn_values=[0])
    # Rasterize
    if field_name:
        gdal.RasterizeLayer(target_ds,[1], source_layer,options=["ATTRIBUTE={0}".format(field_name)])
        # print("write:",field_name)
    else:
        gdal.RasterizeLayer(target_ds,[1], source_layer,burn_values=[-1])   
    return gdal.Open(RASTER_PATH).ReadAsArray() 

#批量计算 

# 需要导入模块: import gdal [as 别名]
# 或者: from gdal import RasterizeLayer [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 RasterizeLayer [as 别名]
def Vector_to_Raster(Dir, shapefile_name, reference_raster_data_name):
    """
    This function creates a raster of a shp file

    Keyword arguments:
    Dir --
        str: path to the basin folder
    shapefile_name -- 'C:/....../.shp'
        str: Path from the shape file
    reference_raster_data_name -- 'C:/....../.tif'
        str: Path to an example tiff file (all arrays will be reprojected to this example)
    """

    from osgeo import gdal, ogr

    geo, proj, size_X, size_Y=Open_array_info(reference_raster_data_name)

    x_min = geo[0]
    x_max = geo[0] + size_X * geo[1]
    y_min = geo[3] + size_Y * geo[5]
    y_max = geo[3]
    pixel_size = geo[1]

    # Filename of the raster Tiff that will be created
    Dir_Basin_Shape = os.path.join(Dir,'Basin')
    if not os.path.exists(Dir_Basin_Shape):
        os.mkdir(Dir_Basin_Shape)

    Basename = os.path.basename(shapefile_name)
    Dir_Raster_end = os.path.join(Dir_Basin_Shape, os.path.splitext(Basename)[0]+'.tif')

    # Open the data source and read in the extent
    source_ds = ogr.Open(shapefile_name)
    source_layer = source_ds.GetLayer()

    # Create the destination data source
    x_res = int(round((x_max - x_min) / pixel_size))
    y_res = int(round((y_max - y_min) / pixel_size))

    # Create tiff file
    target_ds = gdal.GetDriverByName('GTiff').Create(Dir_Raster_end, x_res, y_res, 1, gdal.GDT_Float32, ['COMPRESS=LZW'])
    target_ds.SetGeoTransform(geo)
    srse = osr.SpatialReference()
    srse.SetWellKnownGeogCS(proj)
    target_ds.SetProjection(srse.ExportToWkt())
    band = target_ds.GetRasterBand(1)
    target_ds.GetRasterBand(1).SetNoDataValue(-9999)
    band.Fill(-9999)

    # Rasterize the shape and save it as band in tiff file
    gdal.RasterizeLayer(target_ds, [1], source_layer, None, None, [1], ['ALL_TOUCHED=TRUE'])
    target_ds = None

    # Open array
    Raster_Basin = Open_tiff_array(Dir_Raster_end)

    return(Raster_Basin) 

# 需要导入模块: import gdal [as 别名]
# 或者: from gdal import RasterizeLayer [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