MODIS dataset implementation for TorchGeo

[nickconst1999]

This pull request adds a new remote MODIS dataset implementation to TorchGeo. This new dataset class enables users to access and process MODIS data on–the–fly directly from the Microsoft Planetary Computer via the STAC API, without downloading the data locally.
The dataset queries the Microsoft Planetary Computer’s STAC API using a provided item ID and retrieves asset URLs for the desired MODIS product. This eliminates the need for pre-downloaded local files.
A configurable PRODUCTS dictionary defines several MODIS products (e.g., Snow Cover, Burned Area, Land Surface Temperature, Vegetation Indices, etc.), including their associated collection IDs, preferred asset keys, and bands. The dataset loads and combines multiple bands into a single xarray DataArray, ensuring consistency in data shape.
Furthermore, the implementation is designed as a subclass of TorchGeo’s RasterDataset, allows seamless integration into the TorchGeo ecosystem. This makes it easier for users to incorporate MODIS data into geospatial ML pipelines.

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[adamjstewart]

1. File should be moved to torchgeo/datasets/modis.py, see https://torchgeo.readthedocs.io/en/latest/user/contributing.html#datasets
2. It doesn't look like this dataset is compatible with our other GeoDatasets, it needs to support automatic reprojection
3. It doesn't look like this dataset is compatible with our GeoSamplers, it needs to support bounding box queries
4. You should not need to override __init__, __len__, or __getitem__, the defaults from RasterDataset should be fine, see https://torchgeo.readthedocs.io/en/latest/tutorials/custom_raster_dataset.html
5. We likely can't justify adding dependencies on xarray, rioxarray, pystac_client, and planetary_computer
6. Need to add documentation
7. Need to add unit tests