Python：如何使用带坐标的光栅保存geotiff文件？

如何解决Python：如何使用带坐标的光栅保存geotiff文件？

我用如下所述的 shapefile 屏蔽了 geotiff 栅格

import Rasterio
from Rasterio.plot import show
import geopandas as gpd

population = Rasterio.open('myData.tif')
gdf = gpd.read_file('myFile.shp')
clipped_array,clipped_transform = 
Rasterio.mask.mask(population,[mapping(ps.iloc[0].geometry)],crop=True)

f,ax=plt.subplots(figsize=(10,10))
gdf.boundary.plot(ax=ax,lw=3,color='red')
show(clipped_array,transform=clipped_transform,ax=ax)
ax.set_xlim([1.82,2.74])
ax.set_ylim([48.51,49.14])

现在我想将新数据保存为带有坐标和信息的 .tif 文件。

解决方法

您可以使用它写入新的 .tif。由于 rasterio 需要一些元来进行写入，因此通常使用输入栅格，例如在这种情况下具有调整的属性。

import rasterio
import os
import fiona
from rasterio import mask


with fiona.open('myFile.shp',"r") as shapefile:
    shapes = [feature["geometry"] for feature in shapefile]

with rasterio.open('myData.tif') as src:
    out_meta = src.meta
    out_image,out_transform = rasterio.mask.mask(src,shapes=shapes,crop=True)

    
    profile = src.profile
    profile["height"] = out_image.shape[1]
    profile["width"] = out_image.shape[2]
    profile["transform"] = out_transform

   
    out_meta.update({"driver": "GTiff","height": out_image.shape[1],"width": out_image.shape[2],"transform": out_transform})

with rasterio.open("masked.tif","w",**out_meta) as dest:
    dest.write(out_image)