Update `geemap.ee_to_xarray()` method for updated `xee` syntax

### Environment Information ```python import geemap geemap.Report() ``` ``` -------------------------------------------------------------------------------- Date: Wed May 13 16:33:03 2026 UTC OS : Darwin (macOS 26.4.1) CPU(s) : 10 Machine : arm64 Architecture : 64bit RAM : 32.0 GiB Environment : Python File system : apfs Python 3.14.4 | packaged by conda-forge | (main, Apr 8 2026, 02:33:53) [Clang 20.1.8 ] geemap : 0.37.1 ee : 1.7.26 ipyleaflet : 0.20.0 folium : 0.20.0 jupyterlab : 4.5.6 notebook : 7.5.5 ipyevents : 2.0.4 geopandas : 1.1.3 -------------------------------------------------------------------------------- ``` Additional package information: ```python print(f'xee version: {xee.__version__}') print(f'xarray version: {xr.__version__}') ``` ``` xee version: 0.1.0 xarray version: 2026.4.0 ``` ### Description When I try to follow along with the `geemap` tutorial for the [`ee_to_xarray()` method](https://geemap.org/notebooks/140_ee_to_xarray/), I am not able to pass in a `scale` parameter without encountering an error. I believe that this is because [breaking changes were introduced](https://xee.readthedocs.io/en/latest/migration-guide-v0.1.0.html) in the `v0.1.0` `xee` update, where the `scale` parameter is handled much differently than it was before. The simple fix in this case would be to downgrade my version of `xee` in my `conda` environment. However, since the syntax for `xee` will be different moving forward, would it be possible to update the `ee_to_xarray()` method to align with the `xee` migration guidelines? ### What I Did ```python import ee import geemap geemap.ee_initialize() ds = geemap.ee_to_xarray( 'ECMWF/ERA5_LAND/HOURLY', crs='EPSG:4326', scale=0.1, n_images=100, ) ``` And I see the error: ``` --------------------------------------------------------------------------- TypeError Traceback (most recent call last) [/tmp/ipykernel_22232/1079747063.py](https://localhost:8080/#) in <cell line: 0>() ----> 1 ds = geemap.ee_to_xarray( 2 'ECMWF/ERA5_LAND/HOURLY', 3 crs='EPSG:4326', 4 scale=0.1, 5 n_images=100, 1 frames [/usr/local/lib/python3.12/dist-packages/xarray/backends/api.py](https://localhost:8080/#) in open_dataset(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, create_default_indexes, inline_array, chunked_array_type, from_array_kwargs, backend_kwargs, **kwargs) 604 605 overwrite_encoded_chunks = kwargs.pop("overwrite_encoded_chunks", None) --> 606 backend_ds = backend.open_dataset( 607 filename_or_obj, 608 drop_variables=drop_variables, TypeError: EarthEngineBackendEntrypoint.open_dataset() got an unexpected keyword argument 'scale' ``` To try and replicate the previous functionality of the `geemap.ee_to_xarray()` method, I had to use the [updated `xee` syntax](https://xee.readthedocs.io/en/latest/migration-guide-v0.1.0.html#option-1-match-source-grid-recommended-for-simplicity) that allows me to pass in a `scale` parameter through a `grid_params` dict, though this meant not using `geemap`. ```python import ee import geemap # !pip install xee import xee import xarray geemap.ee_initialize() ic = ee.ImageCollection('ECMWF/ERA5_LAND/HOURLY') grid_params = xee.helpers.extract_grid_params(ic) # grid_params: {'crs': 'EPSG:4326', 'crs_transform': (0.1, 0, -180.05, 0, -0.1, 90.05), 'shape_2d': (3601, 1801)} ds = xr.open_dataset( ic, engine='ee', n_images=100, **grid_params, ) ```