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Implement "quantiles" process for the ODC backend #74

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pierocampa opened this issue Oct 21, 2022 · 2 comments
Open

Implement "quantiles" process for the ODC backend #74

pierocampa opened this issue Oct 21, 2022 · 2 comments
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enhancement New feature or request ODC Issue related to OpenDataCube as a data and processing provider

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@pierocampa
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pierocampa commented Oct 21, 2022

The quantiles process is very useful for EO and climate related use-cases, so having it in the catalogue is a major progress.

Quantiles shall be able to ignore nodata, and shall be able to accept n-dimensional arrays as input (if I do understand correctly the specs).

@clausmichele
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Let's define some scenarios:

  1. Compute quantiles along single dimension: using apply_dimension() or reduce_dimension()
  2. Compute quantiles along multiple dimensions: ? I don't know how to express this as an openeo process

Current implementation is here and ignores by default nodata (for float values):
https://github.com/SARScripts/openeo_odc_driver/blob/f34cd35107e4fb137fc1d23cae246ed362517c75/openeo_odc_driver.py#L824

@pierocampa
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Ok, I see the reduce_spatial process for applying the quantiles process on the XY plane.

For the "any" dimensions case... that might be a questions for the next developers' meeting. !

@clausmichele clausmichele added the ODC Issue related to OpenDataCube as a data and processing provider label May 18, 2023
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Labels
enhancement New feature or request ODC Issue related to OpenDataCube as a data and processing provider
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