Estimation of inherent optical properties and phytoplankton community structure from hyperspectral in-water radiometry

Thesis (Ph.D.)--University of Washington, 2013 Inverse algorithms are developed to retrieve hyperspectral absorption and backscattering coefficients from measurements of hyperspectral upwelling radiance and downwelling irradiance in vertically homogeneous waters. The first inversion algorithm solves...

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Main Author: Rehm, Eric C.
Other Authors: D'Asaro, Eric A.
Format: Thesis
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/1773/23323
id ftunivwashington:oai:digital.lib.washington.edu:1773/23323
record_format openpolar
spelling ftunivwashington:oai:digital.lib.washington.edu:1773/23323 2023-05-15T17:35:07+02:00 Estimation of inherent optical properties and phytoplankton community structure from hyperspectral in-water radiometry Rehm, Eric C. D'Asaro, Eric A. 2013 application/pdf http://hdl.handle.net/1773/23323 en_US eng Media1.mov; video; Media 1 to accompany Chapter 3, Figure 8a. Media2.mov; video; Media 2 to accompany Chapter 3, Figure 8b. Rehm_washington_0250E_11383.pdf http://hdl.handle.net/1773/23323 Copyright is held by the individual authors. Ecology Inverse Problems Ocean Optics Phytoplankton Radiative Transfer Remote Sensing Physical oceanography Biological oceanography Optics oceanography Thesis 2013 ftunivwashington 2023-03-12T18:50:40Z Thesis (Ph.D.)--University of Washington, 2013 Inverse algorithms are developed to retrieve hyperspectral absorption and backscattering coefficients from measurements of hyperspectral upwelling radiance and downwelling irradiance in vertically homogeneous waters. The first inversion algorithm solves the radiative transfer equation using a simplified phase function to produce estimates of the ratio of the backscattering to absorption coefficients at depths where the light field is in the asymptotic regime. These estimates can be used as a starting point in the second implicit inversion algorithm, where the azimuthally-averaged radiative transfer equation is repeatedly evaluated using the Ecolight radiative transfer model, varying absorption and backscattering coefficients until modeled radiance and irradiance spectra match measurements within a specified criterion. Although this inversion problem is ambiguous for the retrieval of total scattering coefficients, unique and stable solutions can be found for absorption and backscattering coefficients when the inversion is constrained using the attenuation coefficient at one wavelength. A comprehensive error budget for absorption and backscattering estimates details the contributions from forward model parameter error, random and systematic radiometric error, and inversion noise. Both algorithms are tested using simulated light fields from a chlorophyll-based case I bio-optical model and radiometric field data. The second algorithm is then applied to a 51 day record of hyperspectral radiometric measurements to measure the evolution of phytoplankton community structure during the North Atlantic spring bloom continuously over 51 days from a Lagrangian float. The retrieved absorption spectra are of sufficient accuracy, bandwidth, and resolution to estimate bio-optical signatures of phytoplankton community structure including overall biomass, the fraction of small phytoplankton, and the absorption due to colored detrital material. Size fraction estimates based on the ... Thesis North Atlantic University of Washington, Seattle: ResearchWorks
institution Open Polar
collection University of Washington, Seattle: ResearchWorks
op_collection_id ftunivwashington
language English
topic Ecology
Inverse Problems
Ocean Optics
Phytoplankton
Radiative Transfer
Remote Sensing
Physical oceanography
Biological oceanography
Optics
oceanography
spellingShingle Ecology
Inverse Problems
Ocean Optics
Phytoplankton
Radiative Transfer
Remote Sensing
Physical oceanography
Biological oceanography
Optics
oceanography
Rehm, Eric C.
Estimation of inherent optical properties and phytoplankton community structure from hyperspectral in-water radiometry
topic_facet Ecology
Inverse Problems
Ocean Optics
Phytoplankton
Radiative Transfer
Remote Sensing
Physical oceanography
Biological oceanography
Optics
oceanography
description Thesis (Ph.D.)--University of Washington, 2013 Inverse algorithms are developed to retrieve hyperspectral absorption and backscattering coefficients from measurements of hyperspectral upwelling radiance and downwelling irradiance in vertically homogeneous waters. The first inversion algorithm solves the radiative transfer equation using a simplified phase function to produce estimates of the ratio of the backscattering to absorption coefficients at depths where the light field is in the asymptotic regime. These estimates can be used as a starting point in the second implicit inversion algorithm, where the azimuthally-averaged radiative transfer equation is repeatedly evaluated using the Ecolight radiative transfer model, varying absorption and backscattering coefficients until modeled radiance and irradiance spectra match measurements within a specified criterion. Although this inversion problem is ambiguous for the retrieval of total scattering coefficients, unique and stable solutions can be found for absorption and backscattering coefficients when the inversion is constrained using the attenuation coefficient at one wavelength. A comprehensive error budget for absorption and backscattering estimates details the contributions from forward model parameter error, random and systematic radiometric error, and inversion noise. Both algorithms are tested using simulated light fields from a chlorophyll-based case I bio-optical model and radiometric field data. The second algorithm is then applied to a 51 day record of hyperspectral radiometric measurements to measure the evolution of phytoplankton community structure during the North Atlantic spring bloom continuously over 51 days from a Lagrangian float. The retrieved absorption spectra are of sufficient accuracy, bandwidth, and resolution to estimate bio-optical signatures of phytoplankton community structure including overall biomass, the fraction of small phytoplankton, and the absorption due to colored detrital material. Size fraction estimates based on the ...
author2 D'Asaro, Eric A.
format Thesis
author Rehm, Eric C.
author_facet Rehm, Eric C.
author_sort Rehm, Eric C.
title Estimation of inherent optical properties and phytoplankton community structure from hyperspectral in-water radiometry
title_short Estimation of inherent optical properties and phytoplankton community structure from hyperspectral in-water radiometry
title_full Estimation of inherent optical properties and phytoplankton community structure from hyperspectral in-water radiometry
title_fullStr Estimation of inherent optical properties and phytoplankton community structure from hyperspectral in-water radiometry
title_full_unstemmed Estimation of inherent optical properties and phytoplankton community structure from hyperspectral in-water radiometry
title_sort estimation of inherent optical properties and phytoplankton community structure from hyperspectral in-water radiometry
publishDate 2013
url http://hdl.handle.net/1773/23323
genre North Atlantic
genre_facet North Atlantic
op_relation Media1.mov; video; Media 1 to accompany Chapter 3, Figure 8a.
Media2.mov; video; Media 2 to accompany Chapter 3, Figure 8b.
Rehm_washington_0250E_11383.pdf
http://hdl.handle.net/1773/23323
op_rights Copyright is held by the individual authors.
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