shp2raster.py
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# coding=utf-8
#author: 4N
#createtime: 2021/9/28
#email: nheweijun@sina.com
from osgeo import gdal,ogr
from osgeo.ogr import Layer,Feature
vector_fn = r'E:\Data\广东边界\gdsample.shp'
# Define pixel_size and NoData value of new raster
pixel_size = 0.1
NoData_value = 255
# Open the data source and read in the extent
source_ds = ogr.Open(vector_fn)
source_layer:Layer = source_ds.GetLayer()
source_srs = source_layer.GetSpatialRef()
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('t.tiff', 50, 50, gdal.GDT_Byte)
target_ds.SetGeoTransform((x_min, pixel_size, 0, y_max, 0, -pixel_size))
band = target_ds.GetRasterBand(1)
band.SetNoDataValue(NoData_value)
# Rasterize
kk:Feature = source_layer.GetFeature(0)
layer_ds = ogr.GetDriverByName('Memory').CreateDataSource('')
outLayer = layer_ds.CreateLayer("mem",geom_type=ogr.wkbUnknown)
featureDefn = outLayer.GetLayerDefn()
outFeature = ogr.Feature(featureDefn)
outFeature.SetGeometry(kk.geometry())
outLayer.CreateFeature(outFeature)
gdal.RasterizeLayer(target_ds, [1], outLayer, burn_values=[1])
# Read as array
array = band.ReadAsArray()
print(array)