π Accelerating and π² scaling impactful projects with great software and design. Woman-owned.
Philly & Old Town Alexandria
Joined February 2010
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Element 84 retweeted
A great day at JAXA π―π΅
Attended the STAC workshop and explored the Tsukuba Space Center. Great to see so many familiar faces again, while geeking out cloud native, open standards, and all things STAC
#STAC #JAXA @STACspec @cloudnativegeo @Michelle__Roby @Element84
Element 84 retweeted
CEOS-ARD has featured on the 2025 update of the Element 84 Geospatial Tech Radar β check it out below!
It's that time again.... our 3rd Geospatial Tech Radar is LIVE!!
Each time we develop a new tech radar, we're on a mission to capture the latest community and industry developments from the past year while also staying true to our E84 perspective.
element84.com/geospatial-tec⦠(1/4)
Element 84 retweeted
An excellent primer on & vision for Earth data vector embeddings. Vector embeddings power Earth Index. The key approach that makes search for anything, anywhere in Earth Index are embeddings generated from large Earth foundation models.
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-learniβ¦
Element 84 retweeted
Adeel Hassan @Element84 gives a great talk @foss4gna on vector embeddings and all the cool things they can be used for! Check out our blog for more. element84.com/blog/
Element 84 retweeted
A new Data-in-Action story at NASA's #GESDISC assesses the precipitation impacts of Hurricane #Beryl using IMERG #precipitation data and GMAO's GEOS-FP surface wind data. IMERG precipitation accumulation is shown in millimeters between July 4-11, 2024.
go.nasa.gov/3zYAUwf
ALT Accumulated Integrated Multi-satellitE Retrievals for GPM (IMERG) precipitation data for Hurricane Beryl is shown in millimeters in this image, as well as the track of Hurricane Beryl (indicated with "+") for the period July 4-11, 2024. Very High precipitation accumulation values are shown in dark orange and dark red and range from 150 mm to 305 mm.
Element 84 retweeted
Jason Gilman @Element84 gives a great presentation @ESIPfed on the history of metadata search & discovery @NASAEarthData, ECHO, the development of CMR, and what may be needed in the future
Element 84 retweeted
Don't miss your chance to contribute to our 2024 #GeospatialTechnologyRadar!
We launched this radar with the goal of highlighting industry achievements, while functioning as a knowledge sharing platform for the geospatial community.
Learn more: forms.gle/AJgSJr88fT68JA2Q8
Element 84 retweeted
Jason Gilman, Principal Software Engineer at @Element84 presents "Natural Language Geocoding using OSM" today at #SOTMUS2024.
π sotm.us
Element 84 retweeted
We've recently been working on using LLMs to get better and faster at creating and using areas of interest (AOI) on the Earth. Rather than having to manually manipulate boundaries to get what you need, we've combined LLMs with geocoding. Check out the video!
Interested in learning more about Natural Language Geocoding?
We put together a super quick explainer over on our youtube channel: youtu.be/wYhbuRsoUn0 #AI #NaturalLanguageGeocoding
Element 84 retweeted
Thank you @Element84! We're looking forward to Jason's talk at @sotmus. See you in a few weeks!
π sotm.us
We're excited to announce that E84 team member Jason Gilman will be sharing about Natural Language Geocoding using OSM at @sotmus next month! If you'll be there, come say hi π
Catch up on our Natural Language Geocoding work before the talk: element84.com/machine-learniβ¦
#osmus
Element 84 retweeted
Standards are boring. But they might save your life! Join us element84.com/software-enginβ¦
Guess what? β¦@GeoSkepticβ© is talking about standards again! But this time itβs satellite tasking, get on board folks!
Element 84 retweeted
Moderated by @rhiprice , this #satsummit panel with Ritesh Gautam @MethaneSAT, Carrie Stokes @USAID , @mouthofmorrison @umbraspace, and Andrew Schroeder @crisisreadiness on the advances of EO data for humanitarian purposes
Element 84 retweeted
Nice work from @element84 being able to use natural language to precisely specify a geographic area, such as saying Florida and the AOI is automatically made into a precise outline of the state of Florida. element84.com/machine-learniβ¦
Element 84 retweeted
@GeoSkeptic and @petegadomski from @Element84 were the best hosts for last nights Social Summit! Thank you for being our longest and most supportive sponsor!
Element 84 retweeted
Heads up, #geospatial folks! Our friends at @Element84 are hosting a workshop on running predictions with off-the-shelf models for satellite image analysis. Perfect for anyone looking to extract insights from satellite data. Check out the details below.
Would someone on your team be a good fit for our virtual #ML workshop?
Participants will gain experience running predictions with off-the-shelf models on geospatial imagery using PyTorch, Raster Vision, STAC, and AWS cloud services (S3, EC2, & SageMaker)
eventbrite.com/e/geospatial-β¦
Element 84 retweeted
. @petegadomski and I are headed to #north51 where you can find me live tweeting the conference from the @Element84 account. Guess I did OK at FOSS4G-NA last year so Sara is letting me have access again. We've got some cool demos, hit us up!
Element 84 retweeted
Another day in the tasking sprint! Lots of great discussion and work on backend and frontend implementations. I think it's coming together and we'll be wrapping up tomorrow!
Element 84 retweeted
This has been a fun day! Really great to see a variety of data providers and users coming together to discuss interoperability. Everyone is invested and engaged. Looking forward to the next two days!
Just like that, we've wrapped up #Day1 of our 2024 Tasking Sprint in Berlin!
Highlights include:
- A great review of different approaches from the provider
- Exploration of a variety of business cases
- Insights from @awscloud about the future of #GenerativeAI in geospatial
Element 84 retweeted
Are you interested in learning about geospatial machine learning and how you can use cloud services to power your projects? @Element84 is hosting a 1-day workshop that equips you with practical skills & insights to tackle complex challenges in this field
eventbrite.com/e/geospatial-β¦