How many independent quantities can be extracted from ocean color?

Cael, B. B. ORCID: https://orcid.org/0000-0003-1317-5718; Bisson, Kelsey; Boss, Emmanuel; Erickson, Zachary K.. 2023 How many independent quantities can be extracted from ocean color? Limnology and Oceanography Letters. 10.1002/lol2.10319

Before downloading, please read NORA policies.

[thumbnail of Limnol Oceanogr Letters - 2023 - Cael - How many independent quantities can be extracted from ocean color.pdf]

Preview

Text
Limnol Oceanogr Letters - 2023 - Cael - How many independent quantities can be extracted from ocean color.pdf - Published Version
Available under License Creative Commons Attribution 4.0.
Download (547kB) | Preview

Official URL: http://dx.doi.org/10.1002/lol2.10319

Abstract/Summary

Products derived from remote sensing reflectances (RrsλðÞ), for example, chlorophyll, phytoplankton carbon, euphotic depth, or particle size, are widely used in oceanography. Problematically, RrsλðÞ may have fewer degrees of freedom (DoF) than measured wavebands or derived products. Here, we show that a global sea surface hyperspectral RrsλðÞ dataset has DoF=4. MODIS-like multispectral equivalent in situ data also have DoF=4, while their SeaWiFS equivalent has DoF=3. Both multispectral-equivalent datasets predict individual hyperspectral wavelengths’ RrsλðÞ within nominal uncertainties. Remotely sensed climatological multi-spectral RrsλðÞ have DoF=2, as information is lost by atmospheric correction, shifting to larger spatiotemporal scales, and/or more open-ocean measurements, but suites of RrsλðÞ -derived products have DoF=1. These results suggest that remote sensing products based on existing satellites’ RrsλðÞ are not independent and should not be treated as such, that existing RrsλðÞ measurements hold unutilized information, and that future multi- or especially hyper-spectral algorithms must rigorously consider correlations between RrsλðÞ wavebands.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1002/lol2.10319
ISSN:	2378-2242
Date made live:	15 May 2023 10:56 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/534531

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1002/lol2.10319

ISSN:

2378-2242

Date made live:

15 May 2023 10:56 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/534531