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Satclip - Encoding Location

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Manage episode 434496885 series 2502116
Innhold levert av MapScaping. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av MapScaping eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

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/

  continue reading

238 episoder

Artwork
iconDel
 
Manage episode 434496885 series 2502116
Innhold levert av MapScaping. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av MapScaping eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

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/

  continue reading

238 episoder

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