Satclip - Encoding Location

Satclip - Encoding Location

Update: 2024-08-16
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Description

In this episode, I'm joined by Konstantine Klemmer, a researcher at Microsoft, to dive deep into the fascinating world of GeoAI. Konstantine introduces us to Satclip, a cutting-edge model that encodes geographic locations based on satellite images.


We discuss how Satclip works, the data it uses, and its potential applications, particularly in low-resource settings and predictive modeling. Whether you're into AI, geography, or just curious about the intersection of these fields, this episode is packed with insights.


Key Takeaways:
  • What is Satclip?: Learn about Satclip's location encoding, a neural network that converts geographic coordinates into numerical representations based on satellite images.

  • Data and Training: Understand how Satclip is trained using Sentinel-2 satellite images and how it captures unique geographic features.

  • Applications: Discover how Satclip can be used in low-resource environments, such as on edge devices, and how it enhances other models by providing geographic context.

  • The Future of GeoAI: Explore the potential future directions for Satclip, including more detailed regional models and the integration of multiple data modalities.


Connect with Konstantine https://www.linkedin.com/in/konstantinklemmer/


Try Satclip https://github.com/microsoft/satclip


 


Recommended Listening


https://mapscaping.com/podcast/computer-vision-and-geoai/


https://mapscaping.com/podcast/planet-imaging-everything-every-day-almost/


 


 


 


 

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Satclip - Encoding Location

Satclip - Encoding Location

MapScaping