The cloudsen12 example in Colab doesn't appear to run successfully. Specifically step 3. Create a Maskay dict object fails with the following...
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
[<ipython-input-6-84414c94bd67>](https://localhost:8080/#) in <cell line: 9>()
7 sensor="Sentinel-2"
8 )
----> 9 tensor = cloudsen12.TensorSat(**S2files.to_dict(), cache=True, align=False)
2 frames
[/usr/local/lib/python3.10/dist-packages/maskay/tensorsat.py](https://localhost:8080/#) in to_xarray(self, object)
98 """
99 if isinstance(object, str):
--> 100 with rioxarray.open_rasterio(object, "r") as src:
101 raster = np.squeeze(src, axis=0)
102 if self.cache:
TypeError: open_rasterio() takes 1 positional argument but 2 were given
rioxarray.open_rasterio takes only 1 positional argument but 2 are being given in maskay/tensorsat.py
A change in rioxarray (0.17.0 -> 0.18.0) introduced a change to the positional argument, but I'm not sure what keyword argument the "r" is intended for.
The cloudsen12 example in Colab doesn't appear to run successfully. Specifically step 3. Create a Maskay dict object fails with the following...
rioxarray.open_rasterio takes only 1 positional argument but 2 are being given in maskay/tensorsat.py
A change in rioxarray (0.17.0 -> 0.18.0) introduced a change to the positional argument, but I'm not sure what keyword argument the "r" is intended for.