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
- “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?
- 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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