We have studied the feasibility of ionospheric O+ remote sensing throu
gh measurements of the 834-Angstrom airglow. Our approach uses discret
e inverse theory (DIT) to retrieve O+ number density profiles from the
airglow. Our tests of this method assume observations by a limb-scann
ing system on an orbiting satellite at an altitude of 850 km. The scan
s cover the range of 10 degrees-26.5 degrees below horizontal, consist
ent with future multiyear missions. To provide a baseline assessment,
we represent the synthetic ground truth (''true'') O+ distribution as
a generalized Chapman-type profile with three or more parameters, base
d on our recent analysis of topside incoherent scattering radar data a
nd standard ionospheric models (International Reference Ionosphere 199
0 (IRI-90) and the parameterized ionospheric model (PIM)). The DIT met
hod proves to be robust, converging to an accurate solution for a wide
variation in ionospheric profiles. Using a detailed statistical error
analysis of synthetic limb intensity data derived from the IRI-90 and
PIM models, we work a difficult test case following from recent comme
nts on the concept of 834-Angstrom remote sensing of ionospheric O+. W
e find that the DIT method can correctly distinguish between distinctl
y different F layers that produce nearly identical intensity profiles,
consistent with instrument specifications for future missions.