Podcast
The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
Hosted by MapScaping · EN
A podcast for geospatial people. Weekly episodes that focus on the tech, trends, tools, and stories from the geospatial world. Interviews with the people that are shaping the future of GIS, geospatial as well as practitioners working in the geo industry.
This is a podcast for the GIS and geospatial community subscribe or visit https://mapscaping.com to learn more
14episodes
Episodes
Newest firstAll episodes
Cloud Native for the Rest of Us
2w ago00:38:03Tap to summarizeWhat happens when you take cloud native geospatial out of the satellite-and-petabyte world and drop it into a small city with no budget and the world's slowest internet connection? In this episode, Daniel talks with Nissim Lebovits, a city planner turned geospatial data scientist, about his nine months in Argentina building climate risk tools for under-resourced municipalities. Nissim breaks down what "cloud native" actually means in practice (hint: it's really about ease of access), why range requests let a small city grab 100MB instead of downloading a 20GB file, and how a single spatial join — run in about three seconds — revealed that 3 million people are missing from Argentina's own census data. We also get into open building footprints, why QGIS (not Python) is where the real adoption is happening, the adoption gap holding cloud native geo back from small cities in the Global South, vibe-coding a QGIS plugin to finally make Argentina's census data usable, and where cloud native geo is headed over the next five years. This episode is brought to you by the Cloud Native Geospatial Forum. CNG Forum 2026 runs October 6-9 at Snowbird, Utah — three days of real-world cloud native geospatial (STAC, COGs, GeoParquet, Zarr, and more) plus a hands-on workshop day on the 6th. Register at 2026.cloudnativegeo.org.
Transcribe →Mapping With 360 Cameras
3w ago00:41:56Tap to summarizeJeffrey Martin is the co-founder and CEO of Mosaic, a company building 360-degree camera systems designed specifically for mapping. He's been obsessed with 360 imagery for over 20 years — he built one of the first websites combining panoramic images with a map back in 2005, before Google Street View existed, and he holds a Guinness World Record for a 320-gigapixel image of London stitched together from 52,000 photos. In this episode, we get into what a modern mapping-grade 360 camera actually looks like, and why the difference between rolling shutter and global shutter sensors matters if you care about things like colorizing point clouds or photogrammetry. We also cover the surprisingly long tail of people who need up-to-date street-level imagery — everyone from departments of transport and utilities companies to playground designers and outdoor furniture salespeople. A few things that stood out: Ground-level 360 capture fills gaps that drones and satellites simply can't — occlusion, permissions, and viewing angle all favor eye-level imagery for certain infrastructure work. Companies are taking very different bets on data collection strategy — Mosaic focuses on high-quality, purpose-built capture, while others like Hive Mapper are betting on scale and crowdsourced coverage instead. The camera hardware race may be plateauing, but the real frontier now is what we do with the imagery once it's collected — especially as large language models start being layered on top of geospatial data. Where does this all go next? If AI can eventually parse and reason over an entire country's worth of street-level imagery, what does that unlock — and who ends up owning that layer of the map?
Transcribe →Who Pays for Open Source?
Jul 100:54:15Tap to summarizeOpen source software runs a huge chunk of the geospatial world — but somebody still has to pay for it. In this episode I sit down with Marco Bernasocchi creator of QField and CEO of OpenGIS.ch, to dig into the awkward question most open source projects avoid: how do you keep something free and open while paying real people to build and maintain it? Marco has been in the open source world since 2007, and he's grown QField into a tool with over two million downloads and a team of 14 behind it. We talk through how the money actually works — from sponsored feature development, to donations, to the cloud service that now funds most of what they do. Marco makes a compelling case that the real product isn't the software at all; it's convenience. You can always run it yourself. Paying just makes life easier — and keeps the project alive for everyone who can't. We also get into why he refuses to say "free software," what maintainer burnout really looks like, and his advice for any developer quietly drowning in a project they love but can't afford to keep running. A candid conversation about money, sustainability, and being a good citizen in the open source ecosystem.
Transcribe →The Great Retooling
Jun 2300:44:18Tap to summarizeIan Schuler is the CEO of Development Seed — the team behind a lot of the open source tooling that quietly holds up the geospatial world. He's been at the helm for over a decade, and in this conversation, we dig into what he calls the great retooling: the idea that cloud-native geospatial is about to flip from an emerging pattern to the dominant one, and that AI is the thing tipping it over the edge. The argument is simple — agents want to discover your data, query it, transform it, and hand back an answer. If your data isn't in a format they can reach, you're simply not part of the conversation anymore. A really enjoyable one. I hope you get as much out of it as I did. Register for the forum 👉 https://2026.cloudnativegeo.org — This episode is sponsored by the Cloud Native Geospatial Forum. The CNG Forum 2026 runs October 6–9 at Snowbird, Utah — three days of real-world cloud-native geospatial (STAC, COGs, GeoParquet, Zarr, and more) with the teams actually building this stuff at scale, plus a hands-on workshop day to kick things off. Register at https://2026.cloudnativegeo.org
Transcribe →Earth Observation - The Invisible Industry
Jun 1701:06:33Tap to summarizeWhat is Earth observation, really — and why, after fifty years of satellite imagery, is it still not "mainstream"? In this episode, I'm joined by Aravind Ravichandran, founder of TerraWatch, an independent research and advisory firm focused entirely on Earth observation. Aravind writes the TerraWatch newsletter, runs the EO Summit, and spends his time thinking about the strategy and economics of the industry more deeply than just about anyone. We start with a deceptively simple question — is Earth observation even an industry? — and end up somewhere more interesting: Aravind's argument that when the technology truly succeeds, it becomes invisible, quietly embedded in agriculture, insurance, energy, and defense the same way weather satellites already are. Along the way, we get into: Why 60+ countries are now building their own satellite constellations, and whether they'll still exist in five years What Planet restricting imagery access really means — and why Aravind thinks they were "punished for doing something progressive" The technology is actually moving the needle: hyperspectral data going free, AI foundation models, edge computing on satellites, and inter-satellite laser links Which use cases are genuinely picking up (utilities, parametric insurance) — and which were always hype (counting cars in parking lots) The defense paradox: how the industry that built Earth observation may also be the biggest thing holding back its commercial future Some open questions we sit with: If satellite data is critical infrastructure, what happens when someone turns it off? Should high-resolution imagery of the whole world be open — and what are the privacy and security costs if it is? And can sixty countries ever pool their data, or will sovereignty always trump logic?
Transcribe →10 Tools for Telling Stories With Maps
May 2801:01:54Tap to summarizeRyan 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. Tools & resources mentioned in this episode 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 Projects I'm working on Quick Map Tools — https://quickmaptools.com Hunting NZ — https://huntingnz.com NZ Elevation Tools — https://nzelevationtools.com Smart Query Tools — https://smartquerytools.com
Transcribe →Agents, Guardrails, and the Death of the Dashboard
May 1400:50:56Tap to summarizeNadine 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.
Transcribe →
How HOT Is Rethinking Drone Mapping
Apr 3000:50:14Tap to summarizeWhat 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. Thank you to today's sponsor, Geo Business - Registration is free.
Transcribe →Common Space
Mar 2200:38:31Tap to summarizeThis episode examines the Common Space initiative, a non-profit project dedicated to building and launching high-resolution optical satellites designed specifically for humanitarian purposes, such as aiding populations at risk from climate events and conflict. Although there are over a thousand Earth observation satellites currently in orbit, high-resolution imagery remains largely inaccessible to humanitarians, journalists, and civil rights groups due to high costs, restrictive licensing, and the prioritization of defense and intelligence tasking. Common Space aims to bridge the gap between low-resolution public goods (like Landsat and Sentinel) and expensive commercial options by offering 50 to 70-centimeter resolution imagery with open licensing. The project plans to utilize a "club good" funding model, where humanitarian groups can access the data for free, while commercial and government entities pay to participate to fund the system's continued operations. How will a community-driven governance model successfully navigate the ethical risks and potential misuse of releasing high-resolution conflict data in real-time? Learn more about Commonspace here https://www.commonspace.world/ Or connect with the founders here https://www.linkedin.com/in/billfgreer/ https://www.linkedin.com/in/rhiannan-price/
Transcribe →AI in QGIS
Mar 500:49:20Tap to summarizeI've been playing around with a lot of large language models lately, and it is absolutely fascinating to watch them work. But what happens when you bring that directly into QGIS? Right now, AI in the geospatial industry is a lot like a fast, enthusiastic new intern, incredibly helpful, and sometimes completely wrong, but improving at a rate that no human can compete with. As we hand more of our geoprocessing tasks over to these algorithms, and computing becomes more pervasive, are our own GIS skills becoming obsolete? Or are we just unlocking radically different opportunities to rethink our careers?
Transcribe →