The cube in a box comes with an indexing script for Sentinel-2 data, as below

lon_center = XX.YY
lat_center = XZ.XY
buffer = 0.5

bbox = [lon_center - buffer, lat_center - buffer, lon_center + buffer, lat_center + buffer]

start_date = '2019-02-01'
end_date = '2020-02-28'

collections = ['sentinel-s2-l2a-cogs']

config = {
    'collections': collections,
    'bbox': bbox,
    'datetime': f"{start_date}/{end_date}"

STAC_API_URL = 'https://explorer.sandbox.dea.ga.gov.au/stac/'

os.environ['STAC_API_URL'] = STAC_API_URL 

How to index the Landsat data and other datasets such as MODIS ?

  • Is your question about: how to index new data in the datacube? Apr 13, 2021 at 8:13
  • 1
    @AndreaMassetti, Yes
    – chetan
    Apr 19, 2021 at 5:50
  • 1
    What is not clear from the documentation? Have you tried the use cases provided in the docs but you get stuck somewhere? Apr 20, 2021 at 12:43

1 Answer 1


Where are you getting Landsat data from?

Once you have a source of data, you need to have the following things:

  • A product definition, which defines what each dataset metadata document should look like
  • A dataset metadata document, one for each scene, either created in memory or as a file.

To do the above, you can read through documentation or check out some examples.

For the Cube in a Box, I would love to be able to index off the USGS STAC API, but this requires some development work to achieve it.

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