easysnowdata.optical.sentinel2.search#

easysnowdata.optical.sentinel2.search(aoi: Any = None, time: Any = None, *, source: str | None = None, collection: str | None = None, cloud_cover: float | None = None, query: dict[str, Any] | None = None, max_items: int | None = None, **kwargs: Any) → GeoDataFrame[source]#

Search one of the catalogs and return the items as a GeoDataFrame.

The frame carries every STAC property as a column plus stac_item, so it can be filtered and handed straight to load().

Parameters:

aoi – The usual spatial and temporal inputs.
time – The usual spatial and temporal inputs.
source – "planetary-computer" (default) or "earth-search".
collection – A collection of that catalog (Earth Search also has "sentinel-2-c1-l2a" and "sentinel-2-pre-c1-l2a").
cloud_cover – Keep scenes with eo:cloud_cover below this percentage.
query – Passed to easysnowdata.providers.stac.search().
max_items – Passed to easysnowdata.providers.stac.search().
**kwargs – Passed to easysnowdata.providers.stac.search().