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You leaving WHAT out for Santa tonight? Can’t talk, me gotta find hat and fake beard.

Just when you think this thing can't get any funnier, it tops itself. Wait for it.

Our own 𝙼𝚊𝚝𝚝𝚑𝚎𝚠 𝙷𝚊𝚗𝚜𝚘𝚗 will be speaking at the USGS Joint Agency Commercial Imagery Evaluation (JACIE) Workshop today on a "Vision for the Future" around Analysis-Ready Data: usgs.gov/calval/upcomin…

Analysis Ready Data (ARD) is the next step in making #geospatial and #remotesensing data accessible and usable but it’s very much a work in progress. 𝙼𝚊𝚝𝚝𝚑𝚎𝚠 𝙷𝚊𝚗𝚜𝚘𝚗 lays out the state of ARD and what’s next Element 84: element84.com/blog/deconstru…

Outside of the great community and collaborations we find each year Earth Science Information Partners (ESIP)—our designers get to put together fun graphics for lanyards, t-shirts, and fundraisers for each conference. We're hoping the winter design brings you a little *joy* customink.com/fundraising/es…

We're at the AWS Nonprofits IMAGINE conference today and tomorrow. Jeff Siarto will be presenting tonight on our work in educational nonprofits and Dan Pilone will be on a partner panel Wednesday morning. Come find us and say hi 👋 aws.amazon.com/government-edu…

Our own Dan Stark talks about his first experience working with #geospatial data and the SpatioTemporal Asset Catalog ecosystem: element84.com/blog/a-softwar…

Super exciting to see this! Great use of AWS OpenData and STAC catalogs. Demonstrates the power of cloud native Geospatial data and interoperable standards.

This is a baby GPT with two tokens 0/1 and context length of 3, viewing it as a finite state markov chain. It was trained on the sequence "111101111011110" for 50 iterations. The parameters and the architecture of the Transformer modifies the probabilities on the arrows. E.g. we

What does working with NASA Earth science data in the cloud look like? ➡️This Earthdata Cloud Cookbook provides cheat sheets and guides to help you get started! #CloudComputing Check it out at: go.nasa.gov/3mnyAZ7

🚨New blog alert! 🚨 In our latest post, we're covering: - The components of the #PlanetaryComputer - Demonstrating how it's based on both #cloud-optimized formats & the SpatioTemporal Asset Catalog - & Discussing how this work benefits the larger community Learn more: element84.com/blog/how-micro…

Searching for USDA NAIP imagery on AWS interactively with leafmap and the Earth-Search STAC endpoint. Try it out: Web app: giswqs-solara-geospatial.hf.space/leafmap Leafmap: github.com/opengeos/leafm… #Solara #geospatial #aws #opendata

This week is the last chance for you to give us your 2 cents regarding our upcoming workshop series! Don't forget to fill out this form so that we can build out events that work for YOU! 🗳️

Are you a current #EarthSearch user? Our team is rolling out Earth Search updates, & we want to ensure our users get real-time news. For more info on our mailing list and to check out an archive of past updates, check out our github discussion page: github.com/Element84/eart…

🚨 We're excited to announce the release of #RasterVision 0.21! 🚨 With this update, Raster Vision can now: - Consume imagery from #STAC APIs - Work with temporal data - Export and use models in #ONNX format Learn more now on our blog: element84.com/machine-learni… #MachineLearning

. Robert Cheetham unveils the E84 Geospatial Tech Radar at #foss4gna element84.com/geospatial-tec…

This spring we're hosting the 3rd community #STAT Sprint in Berlin to continue our work to advance a satellite tasking API specification. @ this sprint, we're focusing on implementations, and we're facilitating some great companion events like #STAC night with CNG!

I've never seen an embedding vector represented in this way, reminds me of reading mass spectrometry - with similar results! Awesome work from the Element84 team producing a really legible vector representation: element84.com/machine-learni…

We just published a white paper! In it, we cover how EO data providers (ex. NASA) can dramatically improve access to their data by creating a centralized vector embeddings catalog. Find the full white paper linked in this blog: element84.com/machine-learni…

🎶 It's the most wonderful time of the year 🎶 .... Geospatial Tech Radar time!!! We are now accepting submissions from the community for the 3rd edition of our tech radar. We are excited to compile our most comprehensive radar yet! forms.gle/vp5n9KxYNiLu9F…