We present a proof-of-concept and breadboard for a low-cost MS imager that optimally complements a HS imager. Design characteristics of the MS imager prototype include the ability to produce high-spatial resolution images (~2.5m Ground Sample Distance), robust communications allowing seamless integration into the ISS downlink system, data fusion algorithms and methods, on-board computational processing, and ground mission control. A cost-benefit-risk analysis of the MS imager design will provide insight into ideal MS/HS joint operation. As demonstrated by K. Perlmutter et al., a low-cost MS imager adds value to a hyperspectral data stream, thereby increasing the relevance of Earth Observation applications for public policy-makers and humanitarian organizations, a central goal of the John Glenn Humanitarian Observatory program in The Ohio State University Battelle Center for Science, Engineering, and Public Policy. |
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