GeoDC : May 2026 Meetup

The 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.