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

[adamjstewart]

@nickconst1999 is this still a work-in-progress? We're planning a 0.7.0 release in the next week or so.

[nickconst1999]

Good afternoon, professor, Due to the exciting workload for the exams this semester, I was unable to contribute any further to the project. I am very sorry.If you think my contributions would still be helpful, I’d love to pick things back up and provide updates next week. Just let me know how you'd like me to proceed! Thank you for your time and I am sorry for the inconvenience!  On Wednesday, March 12, 2025 at 01:42:27 PM GMT+2, Adam J. Stewart ***@***.***> wrote: @nickconst1999 is this still a work-in-progress? We're planning a 0.7.0 release in the next week or so. — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: ***@***.***> adamjstewart left a comment (microsoft/torchgeo#2564) @nickconst1999 is this still a work-in-progress? We're planning a 0.7.0 release in the next week or so. — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: ***@***.***>

[adamjstewart]

Sure, happy to review again when you're done. I'll keep this PR in mind but won't hold up the release for it. It can always go into the next minor release if you miss this deadline.