raster - Writing custom Prepare Scripts for Open Data Cube?

How do I write custom prepare scripts for the Open Data Cube format ?

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The docs say the following:

We expect that many new Data Cube instances will require custom prepare scripts to be written. It is generally a straightforward task of mapping metadata from one form to another and writing out a YAML document.

That's it.

Also the official training center is not helpful as it does not say anything about it.

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Can someone explain this a bit more in detail or does someone have better sources or tutorial(s) other than analyzing the non-commented sample prepare scripts ?

Answer

While the official documentation of datacube-core is not yet very useful, the project owner CEOS has a much better documentation hidden in another github project named CEOS Data Cube UI.

The topic I was looking for can be found here.

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I will not copy-paste the whole documentation. But the following is the information the prepare script should output to a yaml file:

creation_dt: '2014-03-01 00:00:00'
extent:
  center_dt: '2014-03-01 11:59:59'
  coord:
    ll: {lat: -90.0000031, lon: -179.99999689999999}
    lr: {lat: -90.0000031, lon: 180.0000031}
    ul: {lat: 89.9999969, lon: -179.99999689999999}
    ur: {lat: 89.9999969, lon: 180.0000031}
  from_dt: '2014-03-01 00:00:00'

  to_dt: '2014-03-01 23:59:59'
format: {name: GeoTiff}
grid_spatial:
  projection:
    geo_ref_points:
      ll: {x: -179.9999969, y: -90.0000031}
      lr: {x: 180.0000031, y: -90.0000031}
      ul: {x: -179.9999969, y: 89.9999969}
      ur: {x: 180.0000031, y: 89.9999969}
    spatial_reference: GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.01745329251994328,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]]

id: e95ed0b5-ac2b-4c59-9aa8-2b3f0cd2ef40
image:
  bands:
    ice_precipitation: {path: 3B-MO-GIS.MS.MRG.3IMERG.20140301-S000000-E235959.03.V04A.ice.tif}
    liquid_precipitation: {path: 3B-MO-GIS.MS.MRG.3IMERG.20140301-S000000-E235959.03.V04A.liquid.tif}
    percent_liquid: {path: 3B-MO-GIS.MS.MRG.3IMERG.20140301-S000000-E235959.03.V04A.liquidPercent.tif}
    total_precipitation: {path: 3B-MO-GIS.MS.MRG.3IMERG.20140301-S000000-E235959.03.V04A.tif}
instrument: {name: GPM}
lineage:
  source_datasets: {}

platform: {code: GPM}
processing_level: V04A
product_type: monthly

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