Optimizing retrieval spaces of bio-optical models for remote sensing of ocean color
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Author/Creator ORCID
Date
2023-04-21
Type of Work
Department
Program
Citation of Original Publication
Hannadige, Neranga K., et al. "Optimizing retrieval spaces of bio-optical models for remote sensing of ocean color" Appl. Opt. 62 (21 April, 2023): pp. 3299-3309. https://doi.org/10.1364/AO.484082.
Rights
This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
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Public Domain Mark 1.0
Subjects
Abstract
We investigated the optimal number of independent parameters required to accurately represent spectral remote sensing reflectances (๐
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) by performing principal component analysis on quality controlled in situ and synthetic ๐
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data. We found that retrieval algorithms should be able to retrieve no more than four free parameters from ๐
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spectra for most ocean waters. In addition, we evaluated the performance of five different bio-optical models with different numbers of free parameters for the direct inversion of in-water inherent optical properties (IOPs) from in situ and synthetic ๐
แตฃโ
data. The multi-parameter models showed similar performances regardless of the number of parameters. Considering the computational cost associated with larger parameter spaces, we recommend bio-optical models with three free parameters for the use of IOP or joint retrieval algorithms.