Well if the title does not grab your attention then this episode is not for you!
This episode is all about using AI to generate satellite imagery using generative adversarial networks ( GANs ).
That might sound scary if you have not used to working with AI but Ron Hagensieker does a brilliant job of walking us through the concept and the process.
A podcast about Super Resolution
https://mapscaping.com/podcast/super-resolution-smarter-upsampling/
A podcast about Open Source Intelligence
https://mapscaping.com/podcast/the-role-of-geospatial-in-open-source-intelligence/
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Being Visible In The Geospatial Community
GDAL - Geospatial Data Abstraction Library
Counting Animals Using Satellite imagery
Access to data - making room for unexpected contributors
Geospatial Innovation - what it might look like
Super Resolution - smarter upsampling
OpenStreetMap is a community of communities
Open Geospatial Standards - shared standards to solve shared problems
Introducing Google Earth Engine
Getting Where You Want To Go In Your Geospatial Career
The Earth Archive
Introduction to Synthetic-aperture Radar (SAR)
From GIS Analyst to Software Engineer
Building a 4D "Digital Twin" of the Planet
Skills, Leadership, Mentorship and the Geospatial Community
Navigating The Past, Present And Future Of GNSS
Mapping The Ocean Floor
Being A Professional Geographer
How To Augment Reality
Satellite-based Augmentation System - A base station in the sky
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Regenerative Agriculture Podcast
Bedrock: Earth’s Earliest History
The Great Simplification with Nate Hagens
Kosmographia
Climate One