如何使用rasterio将光栅图像(TIFF)调整为800x600?

时间:2018-11-16 18:00:34

标签: python geospatial rasterio

我想制作一个栅格图像的子集,并将其放置为800x600的尺寸。我正在浏览Rasterio食谱,但似乎不允许我输入800x600之类的尺寸。这是我一直在查看的内容:https://mapbox.s3.amazonaws.com/playground/perrygeo/rasterio-docs/cookbook.html

另外,我看到了这一点,并认为它可能有效:https://rasterio.readthedocs.io/en/latest/topics/windowed-rw.html

我使用了Reader代码段:

import rasterio
with rasterio.open('MyRasterImage.tif') as src:
    w = src.read(1, window=Window(0, 0, 800, 600))

print(w.shape)

但是,当我运行它时,它会给我错误消息:

w = src.read(1, window = Window(0, 0, 800, 600))

NameError: name 'Window' is not defined

不确定是什么原因导致此错误。我当时以为Windows是rasterio中的内置函数,我可以在其中简单地调用它并调整图像大小以构成子集。

我还希望能够在屏幕上显示新的800x600图像(使用Spyder),不确定如何做到这一点。

任何帮助都将不胜感激,并且会赞成。

谢谢

1 个答案:

答案 0 :(得分:1)

import numpy
import rasterio
from matplotlib import pyplot
from rasterio.windows import Window

width = 800
height = 600

with rasterio.open('MyRasterImage.tif') as src:
    w = src.read(1, window=Window(0, 0, width, height))
    profile = src.profile
    profile['width'] = width
    profile['height'] = height
    # Create output
    result = numpy.full((width, height), dtype=profile['dtype'], fill_value=profile['nodata'])

#writting
with rasterio.open('/tmp/sampled_image.tif', 'w', **profile) as dataset:
    dataset.write_band(1, result)

#plotting
with rasterio.open('/tmp/sampled_image.tif') as src:
    pyplot.imshow(src.read(1), cmap='pink')
    pyplot.show()