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SBIR/STTR

A miniaturized UV/VIS/IR hyperspectral radiometer for autonomous airborne and underwater imaging spectroscopy of coastal and oceanic environments, Phase I

Completed Technology Project

Project Introduction

A miniaturized UV/VIS/IR hyperspectral radiometer for autonomous airborne and underwater imaging spectroscopy of coastal and oceanic environments, Phase I
Remote sensing of optical properties of oceans and coastal waters provides essential information for various scientific questions and applications, including monitoring biological biomass and productivity, biogeochemical cycling of carbon, pollution, and ecosystem health. OKSI, with the Scripps Institution of Oceanography (SIO), propose the development of novel instrumentation package that will measure in both airborne and submersible applications the upwelling and downwelling radiative fluxes in the UV-VIS-NIR range with high spectral resolution. In Phase I science requirements will be defined and translated into engineering requirements, and the design of an existing hyperspectral sensor modified to (1) simultaneously measure both the upwelling (in pushbroom imaging mode) and the downwelling (non-imaging) spectra, and (2) extend the spectral range to the UV. In Phase-II the prototype instruments will be built and flown on a SIO Unmanned Aerial Vehicle and tested in an SIO submersible system. Ocean color satellite data currently provides information at low spectral resolution (several discrete wavebands) and relatively low spatial resolution (~1 km). The proposed instrumentation package will fill a major gap in science capabilities by providing hyperspectral data with sufficiently high spatial resolution necessary for improved retrievals of information about in-water constituents/properties in highly dynamic coastal environments. The project outcome at the end of Phase-II will be at TRL 6. More »

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This is a historic project that was completed before the creation of TechPort on October 1, 2012. Available data has been included. This record may contain less data than currently active projects.

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