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矢量转栅格

时间:2016-08-07 13:38:18      阅读:232      评论:0      收藏:0      [点我收藏+]

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

from osgeo import ogr
from osgeo import gdal

# set pixel size
pixel_size = 0.00002
no_data_value = -9999

# Shapefile input name
# input projection must be in cartesian system in meters
# input wgs 84 or EPSG: 4326 will NOT work!!!
input_shp = r../geodata/data/ply_golfcourse-strasslach3857.shp
# TIF Raster file to be created
output_raster = r../geodata/data/ply_golfcourse-strasslach.img

# Open the data source get the layer object
# assign extent coordinates
#shp_driver = ogr.GetDriverByName(‘ESRI Shapefile‘)
open_shp = ogr.Open(input_shp)
shp_layer = open_shp.GetLayer()
x_min, x_max, y_min, y_max = shp_layer.GetExtent()

print(x_min)
print(x_max)

# calculate raster resolution
x_res = int((x_max - x_min) / pixel_size)
y_res = int((y_max - y_min) / pixel_size)

print(x_res)
print(y_res)
# set the image type for export
image_type = GTiff
image_type = HFA
driver = gdal.GetDriverByName(image_type)
driver.Register()
# create a new raster takes Parameters
# Filename     the name of the dataset to create. UTF-8 encoded.
# nXSize     width of created raster in pixels.
# nYSize     height of created raster in pixels.
# nBands     number of bands.
# eType     type of raster.

new_raster = driver.Create(output_raster, x_res, y_res, 1, gdal.GDT_Byte)
new_raster.SetGeoTransform((x_min, pixel_size, 0, y_max, 0, -pixel_size))

# get the raster band we want to export too
raster_band = new_raster.GetRasterBand(1)

# assign the no data value to empty cells
raster_band.SetNoDataValue(no_data_value)

# run vector to raster on new raster with input Shapefile
gdal.RasterizeLayer(new_raster, [1], shp_layer, burn_values=[255])

矢量转栅格

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原文地址:http://www.cnblogs.com/gispathfinder/p/5745951.html

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