POSTER SESSION 1
15:30–17:30, Monday, September 14
Poster Session | 1 | 2 | 3 | 4 | Schedule at a Glance
ABSTRACT 1115 | POSTER 177
UNLOCKING AQUATIC SPECTRAL FEATURES WITH ORTHOGONAL COMPONENTS OF WATER AND PLANKTON, AEROSOL, CLOUD, OCEAN ECOSYSTEM (PACE)
Inland, coastal, and open-ocean waters are optically diverse ecosystems that collectively impart colors, shaping the appearance of Earth’s surface. These colors arise from the interaction of sunlight with in-water constituents, which absorb and scatter light in a spectrally selective manner. These interactions are embedded in spectral remote sensing reflectance ((λ), sr–1). To provide high-quality information about ecology and biogeochemistry, (λ) must be decomposed into constituent parts that can be meaningfully associated with the optical variability of these aquatic systems. In this study, we introduce the Orthogonal Components of Water (OCW) approach that summarizes the full visible spectrum of (λ) into three individual components (Brightness, Greenness, and Blueness) to enhance the interpretation of aquatic spectral composition. These components support spectral dimensionality reduction and can also serve as input features for aquatic bio-optical modeling. Here, the OCW approach was developed to support applications for NASA’s PACE-OCI mission, using rigorous endmember selection from a global in-situ hyperspectral dataset (n=12,867) and Gram-Schmidt orthogonalization technique. The results confirmed the reliability of each OCW in reducing spectral dimensionality while preserving the interpretability of dominant optical regimes. Brightness showed a strong relationship with mineral and detrital particles, with Pearson’s correlation coefficients (r) ranging from +0.63 to +0.76. Greenness was highly correlated with phytoplankton features (r of +0.81), while Blueness was associated with clear-water conditions (r below -0.36). Together, these results confirm that OCWs are rich representations of aquatic spectral composition for hyperspectral applications and provide a new tool for classifying and characterizing global aquatic ecosystems.
Rejane Paulino*, Mississippi State University, [email protected], https://orcid.org/0000-0002-7295-8942
Sasha Kramer, Boston University, [email protected], https://orcid.org/0000-0002-9944-6779
Vitor Martins, Mississippi State University, [email protected], https://orcid.org/0000-0003-3802-0368
Poster Session | 1 | 2 | 3 | 4 | Schedule at a Glance
