AttributeError: module 'rasterio' has no attribute 'mask'

Question

I am trying to learn sentinelsat by following some tutorials. Part of the codes goes like this.

import rasterio as rio
import geopandas as gpd

nReserve = gpd.read_file('NReserve/NaturalReserve_Polygon.shp')

nReserve_proj = nReserve.to_crs({'init': 'epsg:32633'})

with rio.open("RGB.tiff") as src:
    out_image, out_transform = rio.mask.mask(src, nReserve_proj.geometry,crop=True)
    out_meta = src.meta.copy()
    out_meta.update({"driver": "GTiff",
                 "height": out_image.shape[1],
                 "width": out_image.shape[2],
                 "transform": out_transform})
    
with rio.open("RGB_masked.tif", "w", **out_meta) as dest:
    dest.write(out_image)

The line out_image, out_transform = rio.mask.mask(src, nReserve_proj.geometry,crop=True) is giving me error. The error goes like this --

AttributeError                            Traceback (most recent call last)
<ipython-input-45-c1fc22fa2c5d> in <module>()
      2 
      3 with rio.open("RGB.tiff") as src:
----> 4     out_image, out_transform = rio.mask.mask(src, nReserve_proj.geometry,crop=True)
      5     out_meta = src.meta.copy()
      6     out_meta.update({"driver": "GTiff",

AttributeError: module 'rasterio' has no attribute 'mask'

But rasterio's documentation it shows rasterio.mask.mask() exists. from doc --

rasterio.mask.mask(dataset, shapes, all_touched=False, invert=False, nodata=None, filled=True, crop=False, pad=False, pad_width=0.5, indexes=None)

What went wrong here? I am new so I am not understanding what to check.

Answer 1

You need to import mask from rasterio.mask. You will also need to change the line where you call the function so it says mask instead of rio.mask.mask.

import rasterio as rio
import geopandas as gpd
from rasterio.mask import mask

nReserve = gpd.read_file('NReserve/NaturalReserve_Polygon.shp')

nReserve_proj = nReserve.to_crs({'init': 'epsg:32633'})

with rio.open("RGB.tiff") as src:
    out_image, out_transform = mask(src, nReserve_proj.geometry,crop=True)
    out_meta = src.meta.copy()
    out_meta.update({"driver": "GTiff",
                 "height": out_image.shape[1],
                 "width": out_image.shape[2],
                 "transform": out_transform})
    
with rio.open("RGB_masked.tif", "w", **out_meta) as dest:
    dest.write(out_image)