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77# Framing: metrology and uncertainty
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9- Future satellite missions such as TRUTHS and CLARREO will, for the
10- first time, allow radiometric calibration that is traceable to SI
11- metrological standards. This raises a fundamental question for any
12- remote‑sensing activity: if the measurements reach metrological
13- quality, can the processing algorithms keep up—or do they throw away
14- that precision because uncertainty is not properly propagated?
9+ Future satellite missions such as ESA [ TRUTHS] ( https://www.esa.int/Applications/Observing_the_Earth/TRUTHS )
10+ and NASA [ CLARREO Pathfinder] ( https://science.nasa.gov/mission/clarreo-pathfinder/ )
11+ will, for the first time, allow radiometric calibration that is
12+ traceable to SI metrological standards. This raises a fundamental
13+ question for any remote‑sensing activity: if the measurements reach
14+ metrological quality, can the processing algorithms keep up—or do
15+ they throw away that precision because uncertainty is not properly
16+ propagated?
1517
1618Expressing EO algorithm logic in a differentiation‑enabled framework
1719automatically tracks how uncertainties in inputs, calibration, and
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