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Ukraine fields
Aspia has trained its algorithm to interpret the radar reflections and turn them into a synthetic optical image.

This means that for a farmer wanting to assess their crop performance this year, instead of getting just a handful of cloud-free Sentinel-2 pictures of their fields through the growing season, they can now have a Sentinel-2-like image every time the radar satellite comes overhead.
In the UK, this might be a couple of times a week.
“To be clear, what you’re seeing is a prediction,” explains Aspia co-founder Jim Geach, who’s an astrophysicist at Hertfordshire University.
“What we do is we just mimic all of the Sentinel-2 bands (colours). And then you can use those in exactly the same way you would if you had the real imagery.”

Source: BBC Technology

Date: February 28th, 2022

Link: https://www.bbc.com/news/science-environment-60513742

Discussion

  1. “the algorithm will open up the six-year archive of cloudy Sentinel-2 imagery to all kinds of new analysis, from mapping trends in drought to tracking the extent of frost and snow cover.” How will this be useful?
  2. If you can get six-years of archival data of almost daily satellite coverage for an area, what sort of business could you build around this?

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