STAC

STAC

STAC entities

Usage

STAC is the map to your data

— Howard Butler

STAC's sweet spot is L1 to L2

— me

In the wild

Landsat

Copernicus

Microsoft Planetary Computer

AWS Earth Search

Umbra Open Data

VEDA notebooks

open

Python STAC ecosystem

PySTAC

              from pystac import Catalog

              root_catalog = Catalog.from_file("./example-catalog/catalog.json")

              collections = list(root_catalog.get_collections())
              for collection in collections:
                  print(f"- {collection.id}")

              items = list(root_catalog.get_items(recursive=True))
              for item in items:
                  print(f"- {item.id}")
            

stac-utils/pystac

pystac-client

              from pystac_client import Client

              client = Client.open("https://earth-search.aws.element84.com/v1")
              search = client.search(
                  max_items=10,
                  collections=['sentinel-2-l2a'],
                  bbox=[-72.5,40.5,-72,41]
              )
              for item in search.items():
                print(item.id)
            

stac-utils/pystac-client

odc-stac and stackstac

              import odc.stac

              catalog = pystac_client.Client.open(...)
              query = catalog.search(...)
              xx = odc.stac.load(...)
            

              import stackstac

              catalog = pystac_client.Client.open(...)
              items = catalog.search(...).item_collection()
              stack = stackstac.stack(items)
            

opendatacube/odc-stac
gjoseph92/stackstac

stacrs (🤫 rustac)

              import stacrs  # soon to be import rustac
              from geopandas import GeoDataFrame

              table = await stacrs.search_to_arrow(...)
              data_frame = GeoDataFrame.from_arrow(table)
              items = stacrs.from_arrow(data_frame.to_arrow())

              item_collection = await stacrs.search("s3://bucket/items.parquet", ...)
            

stac-utils/stacrs