Poster Session 3, Wednesday,  October  5, 16:00–18:00

Poster 83

Development of Adaptive Hyperspectral Algorithms for Improved Freshwater Chlorophyll and Harmful Algal Bloom Retrievals in Preparation for NASA’s PACE Mission

NASA will launch in 2023/2024 the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) dedicated ocean and freshwater sensing satellite system. A key instrument onboard PACE is the hyperspectral ocean color instrument (OCI). Presently, the majority of algorithms that utilize ocean color satellite data to generate chlorophyll and Harmful Algal Blooms (HABs) concentration retrievals operate on fixed wavelength multispectral bands. The new OCI system on board the PACE satellite will allow for selection of bands every five nanometers from 340 – 890 nm within the visible and near IR spectrum. These numerous bands can be combined dynamically to detect spectral features that shift wavelength position with concentration, improving retrieval accuracies over a wide range of concentrations. Optical water type (OWT) classification methods can also be used to dynamically blend multiple adaptive algorithms that are sensitive to different concentration magnitudes resulting in seamless HAB retrievals over a wide range of concentrations. As part of the PACE science team, this group of scientists are developing a suite of dynamic adaptive algorithms for freshwater HAB detection based on existing approaches as well as new novel semi-analytic bio-optical models. Initial results to date using ship and tower based hyperspectral reflectance data collected over western Lake Erie in the Laurentian Great Lakes show the expected accuracy improvements when the adaptive techniques and OWT blending are applied.

Robert Shuchman, Michigan Tech Research Institute (MTRI), Michigan Technological University, [email protected]

Michael Sayers, Michigan Technological University/Michigan Tech Research Institute, [email protected]

Timothy Moore, Florida Atlantic University, [email protected]

Karl Bosse, Michigan Technological University/Michigan Tech Research Institute, [email protected]

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