How to integrate intake-stac and geopandas
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- Python
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Description
Converting STAC catalogs (JSON) to intake catalogs is great for facilitating browsing images with intake.gui and loading remote data directly into xarray objects. When loading data returned from a dynamic API like sat-search (https://github.com/radiantearth/stac-spec/issues/691), we could also take advantage of Geopandas for querying the catalog and visualizing metadata, but currently (0.2.2) the integration is a bit awkward:
```python
properties = ["eo:row=027",
"eo:column=047",
"landsat:tier=T1"]
results = satsearch.Search.search(collection='landsat-8-l1',
sort=['
We could consider adding the same geopandas HTML view directly to the catalog and LocalCatalogEntry objects
```python
# prints >
cat = intake.open_stac_item_collection(results.items())
display(cat)
# also HTML table?
display(cat[sceneid].metadata)
```

Enabling geopandas-like methods on an `Intake catalog:
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