The Hyperspectral Imager for Coastal Oceans (HICO) sensor system, integrated in the International Space Station (ISS) Window Observational Research Facility (WORF), will collect visible and short-wave infrared hyperspectral data that will provide the following characterization of coastal regions:
- Determine water clarity and visibility, shallow water bathymetry, and
bottom type composition.
- Detect underwater obstructions and characterize beaches and coastal areas.
- Research global properties of coral reefs, the maritime atmosphere and
determine global distribution of fires and active volcanoes in the context
of mitigating natural hazards.
It will achieve these objectives by collecting hyperspectral imaging data for over 70% of the Earth's surface, the portion flown over by ISS, at a spatial resolution of 25 meters. The desired data will be obtained using the Naval Research Lab (NRL) Portable Hyperspectral Imager for Low Light Spectroscopy (PHILLS-3) sensor with a pointing and stabilization system and then later integrating it with a short-wave infrared hyperspectral imager.
Emerging technologies and micro-instrumentation are changing the way remote sensing spacecraft missions are developed and implemented. Government agencies responsible for procuring space systems are increasingly requesting analyses to estimate cost, performance and design impacts of advanced technology insertion for both state-of-the-art systems as well as systems to be built 5 to 10 years in the future. Numerous spacecraft technology development programs are being sponsored by Department of Defense (DoD) and National Aeronautics and Space Administration (NASA) agencies with the goal of enhancing spacecraft performance, reducing mass, and reducing cost. However, it is often the case that technology studies, in the interest of maximizing subsystem-level performance and/or mass reduction, do not anticipate synergistic system-level effects. Furthermore, even though technical risks are often identified as one of the largest cost drivers for space systems, many cost/design processes and models ignore effects of cost risk in the interest of quick estimates. To address these issues, the Aerospace Corporation developed a concept analysis methodology and associated software tools. These tools, collectively referred to as the concept analysis and design evaluation toolkit (CADET), facilitate system architecture studies and space system conceptual designs focusing on design heritage, technology selection, and associated effects on cost, risk and performance at the system and subsystem level. CADET allows: (1) quick response to technical design and cost questions; (2) assessment of the cost and performance impacts of existing and new designs/technologies; and (3) estimation of cost uncertainties and risks. These capabilities aid mission designers in determining the configuration of remote sensing missions that meet essential requirements in a cost- effective manner. This paper discuses the development of CADET modules and their application to several remote sensing satellite mission concepts.