Webinar - Building a Planetary-Scale Earth-Observation Data Cube in Zarr

News & Announcements
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Next Tuesday Earthmover is hosting a webinar on Building a Planetary-Scale Earth-Observation Data Cube in Zarr

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As regulars on this forum will note, I’ve recently gone on a deep dive into how to efficiently build massive-scale harmonized earth-observation data cubes in Zarr using open data. These workflows are common at big satellite data providers and processors (think NASA, Planet, etc.) But thanks to open data and serverless cloud computing, it’s now feasible for teams of all sizes to build their own customized data cubes for Earth analytics and AI.

I’ve been digging into the details and best practices on recent forum posts, e.g.

I’ve learned a lot from this and am excited to share these learnings with the community. I’ll also compare three different serverless execution frameworks for running the pipeline (Coiled Functions, Modal, and Lithops) and look at some of the tradeoffs.

Looking forward to a fun discussion… All are welcome!

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I can attempt to stay up that late - chances are low though! :slight_smile:

I have been tinkering with Lithops - so interested to have what you have come up with there.

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we can do it @RichardScottOZ cu there :upside_down_face:

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Webinar will definitely be recorded! No need to take extreme measures! :laughing:

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Heh, will give it a shot Michael. 3/1 maybe? :slot_machine:

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I have another event that day, but would be very interested in the recordings! Where can I find those afterwards?

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Recording will be posted online after the webinar.

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I made most of it! :slight_smile:

Nice job.

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I failed :smiling_face_with_tear: looking forward to the recording :pray:

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If a recording is available please link it here, I 'd be very interested!

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The official recording is now on youtube:

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@strobpr - While it didn’t make it into the slides, you’ll notice at the end a discussion around coordinate systems. My dream is that we could be using DGGS for these data cubes instead of simple rectangular lat lon grids. :wink:

I’d love to pick your brain on how to best accomplish that.