Ryan Shields has one of the most interesting careers in geospatial — from remote sensing for conservation in the Caribbean, to disaster response data engineering with FEMA, to his current role turning spatial data into animation assets for Johnny Harris's YouTube channel at New Press.

In this episode, Ryan counts down the 10 tools he's using right now to tell map stories that reach millions of viewers. We cover Felt, PostGIS on Crunchy Bridge, Geo Layers 3 for After Effects, CShapes for historical borders, Natural Earth, MapTiler, Mapshaper, the new GDAL pipeline syntax, GRASS GIS, and how he's stitching it all together with Claude Code and VS Code.

Along the way we get into how LLMs are changing geospatial workflows, why command-line tools are well-suited to AI agents, the limits of de facto vs de jure borders in historical datasets, and how better tooling is making data journalism viable for small communities that newsrooms usually overlook.

Whether you're a cartographer, data engineer, journalist, or just map-curious, this one is packed with links worth chasing.

• Felt — https://felt.com
• PostGIS — https://postgis.net
• Crunchy Bridge — https://www.crunchybridge.com
• Geo Layers 3 (After Effects extension) — https://aescripts.com/geolayers/ ⚠️ verify
• CShapes (historical borders dataset) — https://icr.ethz.ch/data/cshapes/ ⚠️ verify
• Open Historical Map — https://www.openhistoricalmap.org
• Natural Earth — https://www.naturalearthdata.com
• Eduard (Swiss-style hillshading app) — https://www.eduard.earth ⚠️ verify
• Shaded Relief (Tom Patterson) — https://www.shadedrelief.com
• MapTiler — https://www.maptiler.com
• MapTiler Engine — https://www.maptiler.com/engine/
• EPSG.io — https://epsg.io
• Mapshaper — https://mapshaper.org
• GDAL — https://gdal.org
• GRASS GIS — https://grass.osgeo.org
• QGIS — https://qgis.org
• DBeaver — https://dbeaver.io
• Claude Code — https://claude.com/claude-code ⚠️ verify
• VS Code — https://code.visualstudio.com
• Geodata Viewer (VS Code extension) — search "Geodata Viewer" in the VS Code marketplace
• PAI – Personal AI Infrastructure (Daniel Miessler) — https://github.com/danielmiessler ⚠️ verify exact repo
• Deep State Map (Ukraine conflict) — https://deepstatemap.live
• Johnny Harris (YouTube) — https://www.youtube.com/@johnnyharris

• Quick Map Tools — https://quickmaptools.com
• Hunting NZ — https://huntingnz.com
• NZ Elevation Tools — https://nzelevationtools.com
• Smart Query Tools — https://smartquerytools.com

Nadine Alameh is back — former CEO of the Open Geospatial Consortium, and now CEO and co-founder of Lunate AI, a six-month-old company sitting right at the messy intersection of geospatial and AI.

In this conversation, Nadine breaks down the three types of clients she's seeing right now: government agencies standing at the edge of the river, wondering whether to jump in, startups from outside the geospatial world stumbling in with big ideas, and organizations that know they need to modernize but don't know who to call.

We get into why the real value today is in experience and advisory rather than raw coding, why "moving up the stack" matters more than ever, and how AI agents are quietly reshaping everything — from how satellites get tasked to how dashboards (or whatever replaces them) get built.

We also talk about the death of the one-size-fits-all dashboard, world models and simulations, why trust and guardrails are the actual hard work, and what it takes to go from a flashy proof-of-concept to something a bank can rely on every morning.

If you're a GIS professional thinking about where to position yourself, a startup founder wandering into the geospatial world, or someone trying to figure out how AI fits into your workflows — this one's for you.

What happens when you put professional-grade aerial mapping in the hands of the people who actually live in the places being mapped?

In this episode, I'm joined by Rebecca Firth, Executive Director of the Humanitarian OpenStreetMap Team (HOT) — a global community of around 750,000 people building free and open-source maps in the places that need them most.

We dig into HOT's Drone Tasking Manager: a tool that lets local residents, using low-cost consumer drones, capture professional-quality aerial imagery of their own communities. Rebecca explains how it works under the hood, how dozens of pilots can coordinate to produce a single seamless mosaic, and the assumptions her team got wrong along the way — from over-engineered task locking to worrying about the wrong problems entirely.

We also talk about what this looks like on the ground in Freetown, Sierra Leone, where the same drone imagery is now being used across seven city departments — for waste collection planning, disability access, flood mitigation, and soon, thermal mapping during heat waves to support local-led climate adaptation.

If you care about mapping, drones, open data, or the simple idea that local people with local tools can solve problems faster than anyone flying in from outside — this one's for you.

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