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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


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

Product
Visualize and download PACE-OCW

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)

Team

Vitor Martins
Assistant professor
Dept. of Ag and Bio Engineering
Mississippi State University
​
Research focus:
Remote sensing
Satellite image processing
Water quality

Cassia Caballero
Graduate Research Assist.
Dept. of Ag and Bio Engineering
Mississippi State University
​
Research focus:
Remote sensing
Geospatial analysis
water quality

Rejane Paulino
Graduate Research Assist.
Dept. of Ag and Bio Engineering
Mississippi State University
​
Research focus:
Remote sensing
Ocean optics
Wate r quality

Sasha Kramer
Assistant Professor
Dept of Earth & Environment
Boston University
​​
Research focus:
Ocean phytoplankton
biogeochemical cycles
remote sensing

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