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
1441345452,I_kwDOAMm_X85V6S-s,7273,concat breaks raster stack,630436,closed,1,,,5,2022-11-09T04:15:07Z,2023-08-01T16:29:10Z,2023-08-01T16:29:09Z,NONE,,,,"### What happened?

Loading multiple tiffs into a raster stack via `concat`, `open_mfdataset`, `open_dataset`, `combine_by_coords` corrupts the data, causing them to not display correctly, or write out to disk correctly. The rasters show as banded outputs missing data.

<img width=""624"" alt=""image"" src=""https://user-images.githubusercontent.com/630436/200734406-77a04fe6-4757-4c4d-ad87-7635cb937aa8.png"">

Plotting individual pre-stacked looks as expected.
<img width=""481"" alt=""image"" src=""https://user-images.githubusercontent.com/630436/200736819-e9cdcf99-1eb3-4742-ad61-b33f77556c55.png"">

If a slice of the stacked DA is written to a file, that file is also corrupted. This is confirmed by loading the file in QGIS.

### What did you expect to happen?

The stack to not mangle the data

### Minimal Complete Verifiable Example

```Python
import xarray as xr
import rioxarray as rio
import glob

files = sorted(glob.glob('nomax_tiff/*tiff'))
print(files)

# open the files
d0=rio.open_rasterio(files[0]).to_dataset(name='vel').assign_coords(time=0).expand_dims(dim=""time"")
d1=rio.open_rasterio(files[1]).to_dataset(name='vel').assign_coords(time=1).expand_dims(dim=""time"")

# should look fine
d0.vel.plot()
d1.vel.plot()

ds = xr.concat([d0,d1],dim='time')

#mangled
ds.vel.plot(col='time')

#this is also mangled
ds.drop('band').squeeze().isel(time=0).rio.to_raster('mangled.tiff')

#without rioxarray/rasterio it is differently mangled
xr.open_mfdataset(files,concat_dim='time',combine='nested').isel(time=0).band_data.plot()
```


### MVCE confirmation

- [ ] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
- [ ] Complete example — the example is self-contained, including all data and the text of any traceback.
- [ ] 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.
- [ ] New issue — a search of GitHub Issues suggests this is not a duplicate.

### Relevant log output

_No response_

### Anything else we need to know?

[nomax_tiff.zip](https://github.com/pydata/xarray/files/9967216/nomax_tiff.zip)


### Environment

On a linux cluster:
<details>

xr.show_versions()

INSTALLED VERSIONS
------------------
commit: None
python: 3.8.10 (default, Jun 16 2021, 14:20:20)
[GCC 9.3.0]
python-bits: 64
OS: Linux
OS-release: 3.10.0-1160.36.2.el7.x86_64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: en_CA.UTF-8
LOCALE: ('en_CA', 'UTF-8')
libhdf5: 1.10.6
libnetcdf: 4.7.4

xarray: 2022.6.0+computecanada
pandas: 1.4.0
numpy: 1.22.2
scipy: 1.8.0
netCDF4: 1.5.8
pydap: None
h5netcdf: None
h5py: 3.1.0
Nio: None
zarr: None
cftime: 1.6.0
nc_time_axis: None
PseudoNetCDF: None
rasterio: 1.3.0
cfgrib: 0.9.10.1
iris: None
bottleneck: None
dask: 2022.7.0
distributed: None
matplotlib: 3.5.1
cartopy: 0.20.3
seaborn: 0.11.2
numbagg: None
fsspec: 2022.5.0
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 46.1.3
pip: 20.0.2
conda: None
pytest: None
IPython: 7.31.1
sphinx: None

</details>

This also reproduces on a macos install. But xr show_versions segfaults. No idea, seems weird.
<details>

Python 3.10.4 (main, Jun 14 2022, 14:00:56) [Clang 13.0.0 (clang-1300.0.27.3)] on darwin
rioxarray                 0.12.4
xarray                    2022.11.0
rasterio                  1.3.3

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