The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography

MapScaping

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

  1. 17. Juni

    Earth Observation - The Invisible Industry

    What 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?

    1 Std. 7 Min.
  2. 28. Mai

    10 Tools for Telling Stories With Maps

    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.   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

    1 Std. 2 Min.
  3. 11. Feb.

    Geospatial Makers Start Building!

    Geospatial Product Swiss Army Knife 1. The "Build It and They Won't Come" Trap We have all seen it: a talented geospatial professional spends months—perhaps years—perfecting a technically sophisticated web map or a niche data service, only to release it to a deafening silence. In our industry, the "build it and they will come" philosophy is a fast track to zero traction. Precision is the enemy of progress when it is applied to the wrong problem. Daniel and Stella Blake Kelly explored a remedy for this pattern. Stella—a New Zealand-born, Sydney-based strategist and founder of the consultancy Cartisan—didn’t start with a master plan. She "fell into" the industry after being inspired by a lecturer with bright blue hair and a passion for GIS that rivaled a Lego builder’s creativity. Today, she helps organizations move from "making things" to "building products that matter" using a framework she calls the Product Swiss Army Knife. -------------------------------------------------------------------------------- 2. The 7-Step Framework: More Than Just a Map Many geospatial experts suffer from a technology-first bias, prioritizing data accuracy over strategic utility. To counter this, Stella advocates for a disciplined, seven-tool toolkit designed to bridge the gap between GIS and Product Design: Vision: Establish a clear statement of what you are building and why it needs to exist. User Needs: Move beyond assumptions to identify real users and their specific friction points. Market & Context: Analyze the existing ecosystem (competitors, data, and workflows) to find your gap. Features: Ruthlessly prioritize "must-haves" to define a lean Minimum Viable Product (MVP). Prototypes & User Flows: Map out the user’s journey through the service before writing a line of code. Proof of Concept: Create a tangible, working version to prove the technical and market logic. Launch & Learn: Release early to gather real-world data and iterate based on evidence. This structure forces builders to treat the "spatial" element as a solution rather than the entire product. To illustrate User Needs (Tool #2), Stella suggests using formal User Stories to step out of the technical mindset: "As a solar panel marketer, I want to find potential customers with enough roof surface area so that I can reach out to them and provide an accurate quote." By grounding the project in a specific human problem, the developer stops building for themselves and starts building for the market. As Stella notes: "The thing about the product Swiss Army knife... is that it can be applied to almost any situation where there is an end consumer, where somebody is going to use the thing, the service that you make." -------------------------------------------------------------------------------- 3. The "200 Tools" Strategy: Programmatic Market Validation Daniel shared an unconventional approach to product discovery that serves as a masterclass in Market Context (Tool #3). Leveraging AI, he has built nearly 200 simple geospatial tools—such as a "Roof Area Calculator"—not as final products, but as a "sandbox" for discovery. This is Programmatic Market Validation. Instead of starting with a complex SaaS model, Daniel uses these micro-tools to find "winners" via organic search traffic. By observing where the internet already has unsolved spatial queries, he lets the market dictate which products deserve a full-scale build. In this new landscape, the barrier to entry has shifted: the competitive advantage is no longer "coding ability"—it is strategic experimentation. -------------------------------------------------------------------------------- 4. Not All Traffic is Equal: The High-Value Keyword Insight One of the most surprising takeaways from this experimentation is the direct link between specific geospatial problems and commercial value. A general GIS data tool might get thousands of views, but a "Roof Area Calculator" generates significantly higher programmatic advertising revenue. The reason? Market Context. The keyword "roofing" implies high-value intent; a user measuring their roof is likely in the market for a new one, making them incredibly valuable to advertisers. Understanding the commercial landscape surrounding a user's problem is the difference between a struggling hobby project and a viable MicroSaaS. -------------------------------------------------------------------------------- 5. The Precision Paradox: Why GIS Experts Struggle with UX There is a fundamental tension between the geospatial technical mindset and the product design mindset. GIS professionals are trained to be exact, precise, and correct. Designers, however, are taught to be wrong, gather feedback, and iterate. Daniel illustrated this with a "Hot Jar" anecdote. He once built a site where users were failing to move through the revenue funnel. Heat maps revealed the issue wasn't the data—it was the layout. Users weren't scrolling down far enough to see the critical action button. The data was perfect, but the UX was broken. Stella emphasizes that building a product requires the humility to accept that "the best designers of products are the users themselves." Success often comes from moving a button or simplifying a flow, not from adding another decimal point of precision to the underlying geometry. -------------------------------------------------------------------------------- 6. Launching "Soft" to De-Risk the Rollout The "perfectionism trap" is the primary reason geospatial products fail to launch. Builders fear that "releasing slop" will damage their brand. However, Stella suggests the Soft Launch (Tool #7) as a vital de-risking mechanism. A soft launch allows you to: Prevent Stagnation: Avoid the "quiet abandonment" of projects that never see the light of day. Validate Demand: Ensure people actually want the tool before committing to months of development. Build Brand and Trust: In a world where anyone can spin up a tool with AI, trust is the ultimate differentiator. Launching early ensures continuous improvement and prevents the high-stakes pressure of a single "grand opening" that may miss the mark entirely. -------------------------------------------------------------------------------- 7. Conclusion: The Final Ponderance Building successful geospatial products is about empathy and process, not just pixels and polygons. Whether you are building a global API or an internal tool for a government agency, the principles of the Swiss Army Knife remain the same. At the recent Phosphag workshop in Oakland, the range of products—from print maps to digital twins—all shared a common hurdle: the energy to push through the "perfection barrier." As you look at your current projects, ask yourself: Am I building this because the data exists, or because a human has a problem I can solve? Success in the modern landscape requires a diversity of skills—brand, marketing, and distribution. If you aren't embarrassed by your first version, you’ve already lost the market. Stop building in the dark. Get out there and build the thing.

    47 Min.

Bewertungen und Rezensionen

5
von 5
15 Bewertungen

Info

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

Das gefällt dir vielleicht auch