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Great news indeed! From talking with a few groups, I think the message that applies most broadly is that I've seen lots of notebooks with 10-30 lines of complicated import earthaccess
results = earthaccess.search_data(
short_name="MUR-JPL-L4-GLOB-v4.1",
temporal=("2020-01-01", "2021-12-31"),
) really resonates with folks. I also like the idea of showing something at scale. If we had, for example, 20 lines of code resulted in us churning through several GBs or TBs of data, with the final output being a nice plot of some meaningful quantity for the AGU / NASA crowd, I think that'd make for a nice demo. |
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Great news!
earthaccess
got a spot at the NASA demo booth! Thanks to @asteiker for submitting the application!From NASA:
Now the question is, what should we demo in 30 minutes?
Some topics that come to mind are:
earthaccess
as a tool for in-place analysis in the cloudI guess most people at AGU won't know anything about this library or why it's useful but most of them know about remote sensing data from NASA. What other ideas would be interesting to showcase?
For reference I'm attaching the poster I presented at AGU last year.
earthaccess AGU draft.pdf
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