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Assess feasibility of integrating data layers from ArcGIS Image Service into the EIC website #28

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j08lue opened this issue Nov 16, 2023 · 3 comments
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enhancement New feature or request

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@j08lue
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j08lue commented Nov 16, 2023

Many NOAA, USAID, EPA, and even NASA EGIS data layers are served in ArcGIS Image Service/feature layer formats. Converting and loading these into the VEDA infrastructure is time-consuming and breaks provenance / data ownership.

Is there a perspective of integrating these layers from their original source into VEDA UI to be explored alongside data in the STAC/eoAPI data store?

To be clarified

  1. What are examples of such layers?
  2. ...

Acceptance criteria

  • Clarified the ask
  • Answered the question about the feasibility
@j08lue j08lue added the enhancement New feature or request label Nov 16, 2023
@g-r-a-e-m-e
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Hello! I'm looking at the VEDA-UI repo and trying to understand the data structure used by VEDA. I've found a guide on nasa-impact.github.io on dataset ingestion and it appears that the VEDA uses Cloud-Optimized GeoTIFFs (COGs) format. According to the File Preparation page, a tool called rio-cogeo can be used. There appears to be a guide on creating COGs, as well. Assuming a given feature layer is of the type .tif, it should be feasible to write a script to transform the data layers into the COGs format. I'd be happy to try and make a solution for this if sample data are available!

@j08lue
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j08lue commented Dec 5, 2023

Thanks for offering your help, @g-r-a-e-m-e - great research into our default data model, btw. 👍

This ticket is actually about the opposite - whether we can integrate data in their original format/service (some ArcGIS service), without transforming or copying the data.

So I think this ticket needs the input from someone from our team first, who can provide details about these data sources. It might also be more of a backend integration job, rather than data conversion, but we will see.

@g-r-a-e-m-e
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Understood! Thank you for the follow-up 😄

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