『The Drone Network』のカバーアート

The Drone Network

The Drone Network

著者: Bryce Bladon
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The Drone Network explores how drones are reshaping the world. Hosted by Bryce Bladon, the podcast documents the tech, economics and people piloting the world's largest standardized drone imagery network.2026 Bryce Bladon 経済学
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  • The Invisible Job Market for Drone Mapping
    2026/06/01

    The drone mapping profession is real, growing fast, and largely invisible to anyone who hasn't already stumbled into it. Bryce breaks down why one of the fastest-growing professional sectors in the world still lacks the career infrastructure that would make it legible to the people who might thrive in it.


    Discussed:
    FAA Part 107 certification, global drone workforce growth, the commercial drone market, photography vs. mapping market share, the four entry points into drone mapping, GCPs and RTK positioning, photogrammetry software, the four layers of professional drone mapping, where Spexi app pilots fit in the skill stack, how surveying and GIS professionalize, the future of aerial data specialists

    Find us online: https://thedronenetwork.transistor.fm/

    Hosted by Bryce Bladon: http://brycebladon.com/

    Edited by AJ Fillari: https://ajfillari.online/

    Sponsored by Spexi.com and LayerDrone.org


    Links mentioned:

    • PilotByte: https://www.pilotbyte.com/
    • Dylan Gorman on YouTube: https://www.youtube.com/@DylanGorman
    • Dylan Gorman on The Drone Network: https://www.youtube.com/watch?v=VQ6EWonh4AI

    Timecodes:

    • 0:00 — Introduction
    • 1:10 — Welcome to The Drone Network
    • 2:00 — The numbers: 385K Part 107 pilots and a $54B market
    • 3:20 — What drone mapping actually is
    • 4:00 — Drone mapping in market share and growth
    • 5:00 — The four entry tracks into drone mapping
    • 6:40 — The legibility problem: why invisible careers stay invisible
    • 8:50 — The four layers of a professional drone mapping practice
    • 12:20 — How new professions professionalize
    • 13:30 — Outro and sources

    Click here to view the episode transcript.

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    15 分
  • What Your Drone Actually Sees
    2026/05/18

    This episode of The Drone Network demystifies what actually happens between the moment a drone pilot closes a mission and the moment someone uses that data to make a decision. That means covering perspective projection, photogrammetry, and explaining why a standardized mapping mission produces infrastructure, not photography. Learn why mission parameters matter, and why drone-derived imagery beats satellite at the detail level that actually matters for decisions on the ground.

    The Drone Network is sponsored by Spexi Geospatial and LayerDrone. Fly or access the network at spexi.com. Learn more at layerdrone.org.

    Click here to view the episode transcript.

    Episode data sources: propelleraero.com, future3d.com, skybrowse.com, commercialdroneguide.com

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    12 分
  • Drone Imagery, Spatial Scale, and the Future of Physical AI
    2026/05/04

    What makes drone data valuable — and who should be using it?

    Ben Kovacs is the Senior Product Marketing Lead at Spexi Geospatial, and he spent his early career inside the commercial satellite industry, helping customers navigate the gap between what space-based imaging promised and what it could actually deliver. From drones to satellites to the systems that will eventually task them automatically, this episode covers spatial data, how it's changing, and what's still misunderstood.


    In this episode:

    • The scale vs. detail tradeoff: where drones win, where satellites win, and why a distributed pilot network changes the math
    • What "data freshness" actually means and how to explain it to someone who's never thought about it
    • Why standardization is the unlock for drone data reaching its potential
    • The industries most underserved by spatial data right now (cities and utilities)
    • How to tell real drone use cases from hype (real business)
    • The concept of parametric tasking: a future where sensors in the field automatically trigger imaging requests without a human in the loop

    The Drone Network is sponsored by Spexi Geospatial and LayerDrone. Learn more at spexi.com and layerdrone.org.

    • (00:00) - Drone Imagery, Spatial Scale, and the Future of Physical AI
    • (00:38) - Ben's Background: From Space Tech to Spexi
    • (02:03) - Selling the Abstract: Satellite Data and the Expectation Gap
    • (04:00) - Are Drones and Satellites Converging?
    • (06:53) - What Makes Drone Data Different (and Better — and Worse)
    • (08:47) - Explaining Data Freshness Without the Jargon
    • (10:40) - The Temporal Layer: Maps, Change, and Prediction
    • (12:39) - Standardization: Why It's the Key to Drone Data at Scale
    • (14:54) - Who's Underserved by Spatial Data? (Cities & Utilities)
    • (16:57) - Marketing a Product That's Still Being Built
    • (18:10) - Hype vs. Real Use Cases — How to Tell the Difference
    • (20:17) - What's Next: Parametric Tasking and Machine-Requested Data
    • (22:04) - What Feels Different About Geospatial Right Now
    • (24:35) - Drone or Don't?
    • (26:35) - Thanks for listening!
    Click here to view the episode transcript.

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    27 分
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