Passthrough — any public bucket¶

An unregistered dataset is an inline spec dict with the same fields a catalog row uses, so the call is identical to a registered dataset. Here we just plan the keys (no network).

In [ ]:

from earthlens import EarthLens

src = EarthLens(
    data_source="amazon-s3",
    start='2024-01-01',
    end='2024-01-01',
    aoi=[0, 0, 1, 1],
    dataset={
        'bucket': 'my-open-bucket',
        'format': 'cog',
        'layout': 'deterministic_tiles',
        'params': {'key_template': '{year}/tile_{variable}.tif'},
    },
    variables=['band1'],
)
for p in src._search():
    print(p.metadata['bucket'], '->', p.href)

from earthlens import EarthLens src = EarthLens( data_source="amazon-s3", start='2024-01-01', end='2024-01-01', aoi=[0, 0, 1, 1], dataset={ 'bucket': 'my-open-bucket', 'format': 'cog', 'layout': 'deterministic_tiles', 'params': {'key_template': '{year}/tile_{variable}.tif'}, }, variables=['band1'], ) for p in src._search(): print(p.metadata['bucket'], '->', p.href)