Characterization of underwater scattering layers based on variance components of LiDAR backscattering

Montes, Martin A.; Vuorenkoski, Anni K.; Dalgleish, Fraser R.; Ouyang, Bing

doi:10.1364/OE.27.0A1084

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Characterization of underwater scattering layers based on variance components of LiDAR backscattering

2019
By Montes, Martin A. ; Vuorenkoski, Anni K. ; Dalgleish, Fraser R. ; ...
Source: Optics Express, 27(16)

[PDF-3.08 MB]

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Journal Title:

Optics Express
Personal Author:

Montes, Martin A. ; Vuorenkoski, Anni K. ; Dalgleish, Fraser R. ; Ouyang, Bing

Montes, Martin A. ; Vuorenkoski, Anni K. ; Dalgleish, Fraser R. ; Ouyang, Bing Less -
NOAA Program & Office:

CIOERT (Cooperative Institute for Ocean Exploration, Research and Technology) ; OAR (Oceanic and Atmospheric Research) ; Ocean Exploration Program

CIOERT (Cooperative Institute for Ocean Exploration, Research and Technology) ; OAR (Oceanic and Atmospheric Research) ; Ocean Exploration Program Less -
Description:

Range-resolved detection of submerged scattering layers was investigated in the Gulf of Mexico based on vertical profiles made with a LiDAR (Light detection and range) system having a green laser (wavelength λ = 532 nm). The backscattering power (Sd) variability was decomposed in principal components (PCs) and related to non-polarized Sd, the Sd ratio between cross- and co-polarized waveforms, the chlorophyll-a fluorescence (Fchl), and the ratio between volume scattering angles of 150° and 100°. The variance of PCs was dominated by non-polarized Sd followed by Fchl. Correlation between PC1 scores and Fchl anomalies suggested that Sd was mainly originated from pigmented particulates.
Keywords:

[+]

Optical radar
Source:

Optics Express, 27(16)
DOI:

https://doi.org/10.1364/OE.27.0A1084
Document Type:

Journal Article
Funding:

Grant no. NA14OAR4320260
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CC BY
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Submitted
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urn:sha256:ed9b0c9de3c228ec907f86de2d9678c7646df24a6734b605f16e957dd848bea1
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https://repository.library.noaa.gov/view/noaa/26919/noaa_26919_DS1.pdf
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Characterization of underwater scattering layers based on variance components of LiDAR backscattering

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