About us
This is a meetup group for those in the DC area who like maps, GIS, OpenStreetMap, cartography and anything in between.
Started in July 2009, this group aims to keep the DC geo enthusiasts connected to each other for learning and socializing and probably some drinking.
You can follow us on twitter at @geodcmeetup.
Upcoming events
1

GeoDC : May 2026 Meetup
Sudhouse DC, 1340 U St NW, Washington, DC, USThe next GeoDC will be held on Wednesday, May 6 from 6-9pm at Sudhouse DC (1340 U St NW, Washington, DC 20009) with the program starting at 7pm.
We’ve got 3 presentations scheduled for the evening– Please check out the program details below.
Join us early from 6-7pm to grow your network, socialize and grab a snack. Our host, Sudhouse DC has a solid happy hour menu with reasonably priced food and beverage from 4-8pm.
Please remember to RSVP through the GeoDC Meetup page, and we hope to see you in a few weeks.
If you’d like to present or sponsor a future GeoDC Meetup, please complete this form.
Brian Davidson: Zero to Map: A 10-Minute Geospatial Speedrun with Gemini
- Think building a functional mapping application requires hours of boilerplate and API frustration? Think again. In this talk, we’ll race against the clock to build a live mapping app from scratch using Gemini and Antigravity. You’ll see how to leverage LLMs to handle everything from a mapping provider integration to complex coordinate rendering in minutes. Whether you’re a seasoned GIS pro or a curious dev, my hope is you'll leave with a better understanding of how to turn your idea into a working map before your coffee gets cold.
Noah Goodman: Voyager Solutions
- The Voyager platform has enabled customers to resolve data management issues, such as duplication, lack of governance & metadata. Demos of the Voyager platform capabilities and will discussion of a recent State DOT project.
Dr. Aditya Kapoor: Assessment of Inundation Dynamics in Nebraska Using AlphaEarth Foundations
Embeddings- This study demonstrates that AlphaEarth Foundation Embeddings (AFE) provide a highly efficient, "analysis-ready" framework for mapping regional surface water inundation without the computational burden of traditional multi-source data fusion. By applying Random Forest classifiers to AFE data across 901 Nebraska lakes from 2017 to 2025, I found that this method outperformed existing products like Dynamic World, which exhibited estimation errors of up to 43.8%. The analysis revealed a critical environmental trend: a mean inundation decline of over 6,600 m² per year, closely mirroring a regional rainfall reduction of 14.18 mm/year. Ultimately, the findings highlight AFE as a scalable tool for identifying hydrological instabilities, particularly in smaller water bodies, offering significant advantages for real-world water resource planning and flood risk assessment.
8 attendees
Past events
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