Same AOI across providers: MPC + CDSE¶

Demonstrates the endpoint/signer abstraction: the same request shape pulls from Microsoft Planetary Computer (Azure SAS URL signing) and Copernicus Data Space (S3 credentials) over one AOI. Only data_source (and CDSE keys) change. The MPC pull runs live; the CDSE pull is a recipe (needs S3 keys).

In [ ]:

from earthlens.stac import Catalog

cat = Catalog()
print("MPC signer:", cat.get_endpoint("planetary-computer").signer)
print("CDSE signer:", cat.get_endpoint("cdse").signer)
print("MPC S2 id:", cat.resolve("planetary-computer", "sentinel-2-l2a"))

from earthlens.stac import Catalog cat = Catalog() print("MPC signer:", cat.get_endpoint("planetary-computer").signer) print("CDSE signer:", cat.get_endpoint("cdse").signer) print("MPC S2 id:", cat.resolve("planetary-computer", "sentinel-2-l2a"))

Planetary Computer — Sentinel-2 (SAS signing, no account, live)¶

MPC serves Sentinel-2 L2A bands as B04/B03/B02; assets are signed with an Azure SAS token by pyramids' native PlanetaryComputerSigner (no SDK).

In [ ]:

import tempfile

from earthlens.earthlens import EarthLens

aoi = dict(
    lat_lim=[40.40, 40.45], lon_lim=[-3.72, -3.67], start="2024-06-01", end="2024-06-20"
)
mpc = EarthLens(
    data_source="planetary-computer",
    dataset="sentinel-2-l2a",
    variables=["B04", "B03", "B02"],
    path=tempfile.mkdtemp(),
    max_items=1,
    **aoi,
).download()
[p.name for p in mpc]

import tempfile from earthlens.earthlens import EarthLens aoi = dict( lat_lim=[40.40, 40.45], lon_lim=[-3.72, -3.67], start="2024-06-01", end="2024-06-20" ) mpc = EarthLens( data_source="planetary-computer", dataset="sentinel-2-l2a", variables=["B04", "B03", "B02"], path=tempfile.mkdtemp(), max_items=1, **aoi, ).download() [p.name for p in mpc]

CDSE — Sentinel-2 (S3 keys; recipe)¶

Set CDSE_S3_ACCESS_KEY / CDSE_S3_SECRET_KEY first (see Authentication), then the identical shape pulls from CDSE — the backend picks CdseS3Signer from the catalog instead of pyramids' PlanetaryComputerSigner:

cdse = EarthLens(
    data_source="cdse",
    variables={"sentinel-2-l2a": ["B04", "B03", "B02"]},
    path="out/cdse", max_items=1, **aoi,
).download()

Both write COGs over the identical AOI; reproject/stack them with pyramids to compare providers over the same scene.