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Full of colors
with orthogonal components of water

This project implemented the Orthogonal Components of Water (OCW) framework that summarizes the full visible-spectrum for many satellite data sources into three individual components, named Brightness, Greenness, and Blueness, to advance the interpretation of spectral composition across aquatic systems

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What is OCW?

Concept: We expanded the concept of orthogonal transformations for aquatic systems, for the first time, through a novel approach termed Orthogonal Components of Water (OCW). The OCWs consist of three orthogonal components – “Brightness”, “Greenness”, and “Blueness” – each constructed to amplify key optical features associated with inorganic and detrital particles, phytoplankton, and optically clear waters, respectively.

Impact: These components support the spectral dimensionality reduction from hyperspectral and multispectral bands, spectral unmixing to improve the characterization of spectral composition in water, and can also serve as input features, similar to spectral indices, for aquatic bio-optical modeling.

 
Approach:
The OCW approach was developed using a rigorous selection of endmember spectra from a global hyperspectral dataset (n=12,867) to implement the Gram–Schmidt orthogonalization technique, and then per-component coefficients were derived for seven satellite missions, including PACE OCI hyperspectral, Aqua/Terra MODIS, JPSS1/JPSS2 VIIRS, Sentinel-3 OLCI, Sentinel-2 MSI, Landsat8/9 OLI, and PlanetScope SuperDove. OCW applications were evaluated at regional and global scales, and the results confirmed the reliability of each OCW in reducing spectral dimensionality while preserving interpretability to dominant optical regimes.

Outcomes

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Product

Visualize and download PACE-OCW

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Paper

Read about the methodology

Full paper: Full of Colors: the first derivation of Orthogonal Components of Water and its implications for aquatic studies (Under review)

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Team

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Vitor Martins

Assistant professor 

Dept. of Ag and Bio Engineering

Mississippi State University

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Research focus:

Remote sensing

Satellite image processing

Water quality

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Cassia Caballero

Graduate Research Assist.

Dept. of Ag and Bio Engineering

Mississippi State University

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Research focus:

Remote sensing

Geospatial analysis

water quality

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Rejane Paulino

Graduate Research Assist.

Dept. of Ag and Bio Engineering

Mississippi State University

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Research focus:

Remote sensing

Ocean optics

Wate r quality

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Sasha Kramer

Assistant Professor

 Dept of Earth & Environment

Boston University

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Research focus:

Ocean phytoplankton

biogeochemical cycles

remote sensing

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Contact us

Dept. of Agricultural and Biological engineering
130 Creelman st
Mississippi State, MS 39762
Office: 662-325-3155

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GCERlab is part of the Department of Agricultural and Biological Engineering at Mississippi State University

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