Kyle Barron

Kyle is a cloud engineer at Development Seed, building open source tools and infrastructure that process and visualize geospatial data. Kyle is particularly excited about cloud-native vector data formats, speeding up Python and JavaScript applications from Rust, spatial indexes, and efficient data pipelines.

Before joining Development Seed, Kyle previously worked as a software engineer at Unfolded and Foursquare, building web-based geospatial data visualizations.

Based in New York City, Kyle spends time running in Central Park, exploring the city, and dodging tourists. Kyle graduated from UCLA where he received a B.A. in Economics with a minor in Mathematics.


Sessions

09-01
13:00
30min
Browser-based raster reprojection with GPU-accelerated pixel resampling
Kyle Barron

For years, browser-based raster visualization has depended on backend services to preprocess, reproject, and tile imagery.

We built something different: a way to stream unmodified COG data directly from object storage, reprojecting the imagery in the browser — without a server in the middle.

Conference Management Room2
09-01
15:30
30min
Fast, interactive, customizable raster data visualization in Python & the browser with deck.gl-raster
Kyle Barron

We're creating a new ecosystem for client-side raster data visualization in Python & the browser, enabling interactive WebGL rendering of COG and Zarr data.

This talk presents a high-level overview of how this works and how to leverage it in your projects.

Conference Management Room2