Luciano Giesso
speaker
133 appearances
1 recordings
1 series
first heard Jul 2026
last heard 8 Jul
Luciano Giesso’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
There's a lot of things that are done uh within, you know, the the uh the LF observer frame.
So w one thing that I I would say that one thing that has been um changed in the past years is that, you know, ultra high resolution like uh intelligence level imagery is always needed.
Um we think and and we see and uh and we have customers to back this up that faster and better revisit matters more than, you know, 15 centimeter resolution imagery.
Or very, very high resolution imagery.
We're now delivering with our current constellation 50 to 7 centimeter resolution imagery.
And uh and moving to, you know, we have an upcoming uh next-gen satellite that will do 30 centimeters, and we also have another constellation called Merlin that is one meter resolution, so lower resolution, but meant to monitor the entire planet, you know, on a daily basis.
So
Um there is more today of a better revisit um uh paradigm that is more important we think than the high resolution or ultra high resolution necessity.
So that would be, I think, the most uh the most frequent misconception.
Well, um, they can I I think the the most important part, and it's not technical, um, is that they trust it enough to build, you know, their operation d operational decisions around it.
So experienced users, you know, they they rarely evaluate imagery based on a single specification.
Okay, there's lots of stuff on the technical side, um, and they add ass as, you know, attributes like geometric accuracy.
Temporal reality, you know, metadata completeness.
There's stuff that they really look at.
But what's more important right now is that they can trust it to make those decisions around that kind of imagery rather than the technical specifications.
It is important for the data to integrate seamlessly into their existing GIS environments.
We've had many cases.
where algorithms trained for other, you know, other vendors or other image providers were not needed to be retrained on our imagery because you we use open standards and you know and and it and it doesn't require any manual reprocessing.
But mostly uh it's it's built, you know, the the the the key is trust rather than anything technical.
Oh, okay.
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