id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
1702025553,I_kwDOAMm_X85lctlR,7831,Can't open datasets with the `rasterio` engine.,13449576,open,0,,,7,2023-05-09T13:20:05Z,2023-06-21T19:39:46Z,,NONE,,,,"### What happened?

Hello,
When using this command:
`data = xr.open_dataset(my_filename, engine=""rasterio"")`

I get an error:
`ValueError: unrecognized engine rasterio must be one of: ['netcdf4', 'scipy', 'store', 'zarr']`

This error is generated because I don't have `rioxarray` installed. However, that's not clear from the message and the user is likely to assume that it's because they don't have `rasterio` installed.
Would it be possible to improve this error message to allow the user to see that they require `rioxarray`?

### What did you expect to happen?

An error message to be displayed that helps the user understand which package is missing.
Something like:
```
ValueError: unrecognized engine rasterio must be one of: [engines]. The rasterio engine requires rioxarray to be installed.
```

### Minimal Complete Verifiable Example

```Python
To make a new conda env:

conda create --name xrtesting
conda activate xrtesting
conda install xarray rasterio
```
Then, to generate the error:
```
import xarray as xr
my_filename = 'test.tif' # This triggers the error even if the file is not present
data = xr.open_dataset(my_filename, engine=""rasterio"")
```
```


### MVCE confirmation

- [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
- [X] Complete example — the example is self-contained, including all data and the text of any traceback.
- [X] Verifiable example — the example copy & pastes into an IPython prompt or [Binder notebook](https://mybinder.org/v2/gh/pydata/xarray/main?urlpath=lab/tree/doc/examples/blank_template.ipynb), returning the result.
- [X] New issue — a search of GitHub Issues suggests this is not a duplicate.

### Relevant log output

_No response_

### Anything else we need to know?

_No response_

### Environment

<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.11.3 | packaged by conda-forge | (main, Apr  6 2023, 08:57:19) [GCC 11.3.0]
python-bits: 64
OS: Linux
OS-release: 4.15.0-162-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: C.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: None
libnetcdf: None

xarray: 2023.4.2
pandas: 2.0.1
numpy: 1.24.3
scipy: None
netCDF4: None
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: None
nc_time_axis: None
PseudoNetCDF: None
iris: None
bottleneck: None
dask: None
distributed: None
matplotlib: None
cartopy: None
seaborn: None
numbagg: None
fsspec: None
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 67.7.2
pip: 23.1.2
conda: None
pytest: None
mypy: None
IPython: None
sphinx: None


</details>
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