Python：如何使用带坐标的光栅保存geotiff文件？

我用如下所述的形状文件屏蔽了geotiff光栅

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])

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现在，我想将新数据保存为带有坐标和信息的

.tif

文件。

您可以使用此文件写入新的.tif。由于光栅需要一些元来写入，所以通常使用输入光栅，例如在本例中使用调整的属性

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)

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你试过下面我的答案了吗？如果它不能回答您的问题，请告诉我您还需要什么。