Although there are hyperspectral imaging missions with the ultimate goal of deploying AI at the edge, selecting a single (or a set of) onboard AI application(s) remains an important challenge, as it affects virtually all components of the developed satellite. In this article, we tackled this research gap and introduced a fully traceable, objective, quantifiable, and interpretable approach of assessing potential onboard AI applications and selecting those that CONSTRAINTS ~SC CHIME 2 2 2 2 2 1 2 2 2 2 2 2 2 2 2 1 2 2 2 2 2 2 1 2 2 2 2 2 2 2 2 2 2 cspe SENSOR CAPABILITIES ~SC css INTUITION-1 CHIME 1 2 2 2 1 1 2 1 1 1 1 2 1 1 1 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 2 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 INTUITION-1 CHIME 2 2 2 2 2 1 2 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 ~SC cspa INTUITION-1 2 2 2 2 2 2 2 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 ~D agt DATASET MATURITY ~D dgt ~D shd JUNE 2023 IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE 29