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load_stac: support Point features #996
load_stac: support Point features #996
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A possible fix might be to pass Client side filtering in |
Related: Open-EO/openeo-processes#502 |
@kvantricht could you try the above and let me know if it works? |
note that for consistency in training and inference, we use the same datacube builder in extractions as well as in inference runs. In the latter, no |
Related: Open-EO/openeo-processes#527 |
@bossie can confirm for the time being that two jobs previously failing now succeed with single-point geometry and removing |
So looks like the patch track also still works. I'm only wondering about a corner case where eventual spatial extent comes from features loaded from URL. We'll see. For now, it seems I can rerun my point jobs and many succeed now. |
Cool. Let me know if I can close this, or if you encounter any issues. |
For now can be closed indeed I think, if somehow it's clear (documentation?) that load_stac is not supposed to be used with a spatial_extent based on points (but maybe it is already). |
From the description of
but that will probably be made even more strict: Open-EO/openeo-processes#527 |
I've got a PR set up to enforce this (make it fail fast) but since it's a breaking change we'll want to see when and how we want to merge it. |
Job
j-2501092015144dff8818ec4f35a686e3
passes a single Point feature at [40.290404, 60.542651] toload_stac
; the latter then issues this item search request: https://stac.openeo.vito.be/search?limit=20&bbox=40.290404%2C60.542651%2C40.290404%2C60.542651&collections=COPERNICUS30_DEM_SLOPEThe STAC API raises an error:
because the
bbox
param is simply made up of the Point in question: 40.290404,60.542651,40.290404,60.542651The text was updated successfully, but these errors were encountered: