Federico Giusto is a Space Systems Engineer at ispace, inc. in their Luxembourg office. In this episode, we discuss topics from ispace's lunar landers and Blueprint Moon mission, their 3 offices (in Tokyo, Luxembourg City, and Denver), space mining laws, their NASA contract which will be the first lunar transaction of transfer of ownership of lunar regolith, the Luxembourg government's actions to become a big player in the space mining industry, the Artemis Accords. Then in the second half we switch gears to discuss machine learning (the focus of his Master's thesis in aerospace engineering at Loughborough University in England). In this part we got deeper into the technical side, discussing comparing different light wavelengths to be able to assess how healthy a crop field is from satellite hyperspectral images. The goal of this work is to be able to tell farmers which parts of their crops are healthy and which parts need irrigation.
Federico Giusto is a Space Systems Engineer at ispace, inc. in their Luxembourg office. In this episode, we discuss topics from ispace's lunar landers and Blueprint Moon mission, their 3 offices (in Tokyo, Luxembourg City, and Denver), space mining laws, their NASA contract which will be the first lunar transaction of transfer of ownership of lunar regolith, the Luxembourg government's actions to become a big player in the space mining industry, the Artemis Accords.
Then in the second half we switch gears to discuss machine learning (the focus of his Master's thesis in aerospace engineering at Loughborough University in England). In this part we got deeper into the technical side, discussing comparing different light wavelengths to be able to assess how healthy a crop field is from satellite hyperspectral images.
The goal of this work is to be able to tell farmers which parts of their crops are healthy and which parts need irrigation. This is a topic I worked on at Planetary Resources so we were able to go a bit into depth of how different infrared wavelengths would be affected by the water in our atmosphere including humidity and clouds, and how to correct for those effects.
Then we go into some details of his work on machine learning and how to gather all this data in order to be able to train a model for automatic identification of crop health. He goes into a bit of technical detail of different learning methods that he considered in his work.
Links to the Space Engineering Podcast (YouTube, Spotify, Google Podcasts, SimpleCast): https://www.youtube.com/playlist?list=PLOIRBaljOV8gYALpxUJywrHZuvZ9NFpz0 https://open.spotify.com/show/01GcglyOT2bw4moswvDg4O https://space-engineering-podcast.simplecast.com/episodes https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zaW1wbGVjYXN0LmNvbS9TelZzS3lDTQ?sa=X&ved=0CAMQ4aUDahcKEwjggN2CxZTuAhUAAAAAHQAAAAAQDg
Link to Orbital Mechanics with Python video series: https://www.youtube.com/playlist?list=PLOIRBaljOV8gn074rWFWYP1dCr2dJqWab
Link to Spacecraft Attitude Control with Python video series: https://www.youtube.com/playlist?list=PLOIRBaljOV8gsvlQ_GtiDRSBECHB2vvnp
Link a Mecánica Orbital con Python (videos en Español): https://www.youtube.com/playlist?list=PLOIRBaljOV8iGCAac3UnrXHu3tjKHjXSB
Link to Numerical Methods with Python video series: https://www.youtube.com/playlist?list=PLOIRBaljOV8gMqhggseSHI9u2pldGZonA
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