We present a navigation technique for a lunar vehicle based upon matching horizon imagery with a database of synthetic panoramas generated from ultrahigh-resolution topographic models created by stereophotoclinometry. We conducted two tests, one with lunar topography and fully synthetic panoramas, and another using Earth-based data and actual panoramic images. We have shown that the horizon-matching technique can search a wide area for a vehicle's location and determine that location to within 6 m using readily available imagery.

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The Ozone Mapping and Profiler Suite (OMPS) for the United States National Polar-orbiting Operational Environmental Satellite System (NPOESS) consists of a two sensor suite and Level 1 and 2 data processing algorithms to produce calibrated radiance data and ozone total column and profile values. We describe the profiling system design that matches the limb-observing space sensor performance to measurement requirements of the retrieval algorithm and uses algorithm techniques to achieve the data quality needed for limb-scatter-based ozone profiling.