🚸 Walkthrough on using RioXarray IterDataPipes #8
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Planetary Computer SDK for Python and Python library for working with Spatiotemporal Asset Catalog (STAC)! Also updated deploy-docs.yml workflow with new docs dependencies.
Initial tutorial draft for an Earth Observation data pipeline using `torchdata`! Includes loading Cloud-Optimized GeoTIFFs from STAC and constructing a DataPipe. More to come on looping through DataPipes with DataLoader.
3 tasks
Mention that extra keyword arguments like `overview_level` can be passed into `read_from_rioxarray()`. Made a call for contributors to implement extra functionality like clip_box and reproject! Also fixed some typos here and there.
Using iter, for-loop or DataLoader. Which will you choose?
This reverts commit a209d8f.
weiji14
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Just a random collection of mostly documentation-related patches. Patches type-hints in #52, isort imports in #35, mention functional name of IterDataPipe in walkthroughs #8 and #20, and remove mention of returned tuple to patch #33. * 🏷️ Add specific type hints for mask_datapipe in geopandas.py Should be either an xarray.DataArray or xarray.Dataset. * 🚨 Sort spatialpandas imports in datashader.py Ran isort to sort spatialpandas.geometry imports alphabetically. Also intersphinx linked the `.crs` attribute to geopandas.GeoDataFrame.crs. * 💬 Mention functional name of IterDataPipe in walkthroughs So people don't get confused on why the class-form like `Collator` is mentioned but `.collate` was used instead. * 📝 Remove mention of tuple being returned in test_pyogrio_reader Forgot to edit the unit test's docstring. Patches #33. * 🍻 It's GeoPackage and GeoDataFrame, not GeoTIFF and DataArray Need to be more careful when copying and pasting stuff.
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Initial tutorial for an Earth Observation data pipeline using
torchdata! Using example Sentinel-2 dataset over Singapore.Preview at https://weiji14.github.io/zen3geo/walkthrough.html
Extends #6
TODO:
References: