Polarized observations for advanced atmosphere-ocean algorithms using airborne multi-spectral hyper-angular polarimetric imager

International audience Airborne measurements of the linear polarization state of light were carried out over coastal and open ocean conditions to study aerosol and water column properties and investigate the possibility of using a multi-spectral, hyper-angular imaging polarimeter for retrieving aero...

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Published in:Journal of Quantitative Spectroscopy and Radiative Transfer
Main Authors: El-Habashi, Ahmed, Bowles, Jeffrey, Foster, Robert, Gray, Deric, Chami, Malik
Other Authors: Naval Research Laboratory (NRL), TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2021
Subjects:
Online Access:https://insu.hal.science/insu-03106714
https://insu.hal.science/insu-03106714v2/document
https://insu.hal.science/insu-03106714v2/file/1-s2.0-S002240732100008X-main.pdf
https://doi.org/10.1016/j.jqsrt.2021.107515
id ftinsu:oai:HAL:insu-03106714v2
record_format openpolar
institution Open Polar
collection Institut national des sciences de l'Univers: HAL-INSU
op_collection_id ftinsu
language English
topic Vector radiative transfer
Polarization
Remote sensing
Ocean Color
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
spellingShingle Vector radiative transfer
Polarization
Remote sensing
Ocean Color
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
El-Habashi, Ahmed
Bowles, Jeffrey
Foster, Robert
Gray, Deric
Chami, Malik
Polarized observations for advanced atmosphere-ocean algorithms using airborne multi-spectral hyper-angular polarimetric imager
topic_facet Vector radiative transfer
Polarization
Remote sensing
Ocean Color
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
description International audience Airborne measurements of the linear polarization state of light were carried out over coastal and open ocean conditions to study aerosol and water column properties and investigate the possibility of using a multi-spectral, hyper-angular imaging polarimeter for retrieving aerosol and hydrosol optical properties. The instrument, the Versatile Imager for the Coastal Ocean (VICO), is used to support the analysis of ocean color polarized observations and their implication for future space-borne polarimetry such as the polarimeters planned to be deployed with the NASA Plankton, Aerosol, Cloud, and ocean Ecosystem (PACE) mission. Several sets of images at different viewing angles from the visible to the near-infrared spectrum were collected and compared with simulations using a vector radiative transfer (VRT) code. The simulations were obtained based on measured seawater inherent optical properties from shipborne instruments and measured atmospheric parameters from the Aerosol Robotic Network (AERONET) and a shipborne sunphotometer at different locations. An uncertainty method has been derived by propagating uncertainties from the measured polarized radiances. Results from VICO and the VRT simulation are consistent for both radiance and polarization spectrum at all the measured viewing angles. It is also shown that the polarized remote sensing reflectance measured at various angles could be used to distinguish between the aerosols’ and hydrosols’ optical signatures by exploiting the fact that the polarized reflectance is fairly insensitive to hydrosols for given acquisition geometries. This study thus provides an opportunity to investigate various relationships between the microphysical properties of the oceanic and atmospheric particulates such as refractive index and particle size properties. It also contributes to the development of polarization-based inverse ocean color algorithms. Finally, this study provides insights for the validation of the ocean color parameters that will be retrieved ...
author2 Naval Research Laboratory (NRL)
TROPO - LATMOS
Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
format Article in Journal/Newspaper
author El-Habashi, Ahmed
Bowles, Jeffrey
Foster, Robert
Gray, Deric
Chami, Malik
author_facet El-Habashi, Ahmed
Bowles, Jeffrey
Foster, Robert
Gray, Deric
Chami, Malik
author_sort El-Habashi, Ahmed
title Polarized observations for advanced atmosphere-ocean algorithms using airborne multi-spectral hyper-angular polarimetric imager
title_short Polarized observations for advanced atmosphere-ocean algorithms using airborne multi-spectral hyper-angular polarimetric imager
title_full Polarized observations for advanced atmosphere-ocean algorithms using airborne multi-spectral hyper-angular polarimetric imager
title_fullStr Polarized observations for advanced atmosphere-ocean algorithms using airborne multi-spectral hyper-angular polarimetric imager
title_full_unstemmed Polarized observations for advanced atmosphere-ocean algorithms using airborne multi-spectral hyper-angular polarimetric imager
title_sort polarized observations for advanced atmosphere-ocean algorithms using airborne multi-spectral hyper-angular polarimetric imager
publisher HAL CCSD
publishDate 2021
url https://insu.hal.science/insu-03106714
https://insu.hal.science/insu-03106714v2/document
https://insu.hal.science/insu-03106714v2/file/1-s2.0-S002240732100008X-main.pdf
https://doi.org/10.1016/j.jqsrt.2021.107515
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source ISSN: 0022-4073
Journal of Quantitative Spectroscopy and Radiative Transfer
https://insu.hal.science/insu-03106714
Journal of Quantitative Spectroscopy and Radiative Transfer, 2021, 262 (March), pp.107515. ⟨10.1016/j.jqsrt.2021.107515⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jqsrt.2021.107515
insu-03106714
https://insu.hal.science/insu-03106714
https://insu.hal.science/insu-03106714v2/document
https://insu.hal.science/insu-03106714v2/file/1-s2.0-S002240732100008X-main.pdf
doi:10.1016/j.jqsrt.2021.107515
op_rights http://creativecommons.org/licenses/by/
info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.1016/j.jqsrt.2021.107515
container_title Journal of Quantitative Spectroscopy and Radiative Transfer
container_volume 262
container_start_page 107515
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spelling ftinsu:oai:HAL:insu-03106714v2 2023-11-05T03:31:08+01:00 Polarized observations for advanced atmosphere-ocean algorithms using airborne multi-spectral hyper-angular polarimetric imager El-Habashi, Ahmed Bowles, Jeffrey Foster, Robert Gray, Deric Chami, Malik Naval Research Laboratory (NRL) TROPO - LATMOS Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) 2021-01 https://insu.hal.science/insu-03106714 https://insu.hal.science/insu-03106714v2/document https://insu.hal.science/insu-03106714v2/file/1-s2.0-S002240732100008X-main.pdf https://doi.org/10.1016/j.jqsrt.2021.107515 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jqsrt.2021.107515 insu-03106714 https://insu.hal.science/insu-03106714 https://insu.hal.science/insu-03106714v2/document https://insu.hal.science/insu-03106714v2/file/1-s2.0-S002240732100008X-main.pdf doi:10.1016/j.jqsrt.2021.107515 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 0022-4073 Journal of Quantitative Spectroscopy and Radiative Transfer https://insu.hal.science/insu-03106714 Journal of Quantitative Spectroscopy and Radiative Transfer, 2021, 262 (March), pp.107515. ⟨10.1016/j.jqsrt.2021.107515⟩ Vector radiative transfer Polarization Remote sensing Ocean Color [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] info:eu-repo/semantics/article Journal articles 2021 ftinsu https://doi.org/10.1016/j.jqsrt.2021.107515 2023-10-11T16:34:00Z International audience Airborne measurements of the linear polarization state of light were carried out over coastal and open ocean conditions to study aerosol and water column properties and investigate the possibility of using a multi-spectral, hyper-angular imaging polarimeter for retrieving aerosol and hydrosol optical properties. The instrument, the Versatile Imager for the Coastal Ocean (VICO), is used to support the analysis of ocean color polarized observations and their implication for future space-borne polarimetry such as the polarimeters planned to be deployed with the NASA Plankton, Aerosol, Cloud, and ocean Ecosystem (PACE) mission. Several sets of images at different viewing angles from the visible to the near-infrared spectrum were collected and compared with simulations using a vector radiative transfer (VRT) code. The simulations were obtained based on measured seawater inherent optical properties from shipborne instruments and measured atmospheric parameters from the Aerosol Robotic Network (AERONET) and a shipborne sunphotometer at different locations. An uncertainty method has been derived by propagating uncertainties from the measured polarized radiances. Results from VICO and the VRT simulation are consistent for both radiance and polarization spectrum at all the measured viewing angles. It is also shown that the polarized remote sensing reflectance measured at various angles could be used to distinguish between the aerosols’ and hydrosols’ optical signatures by exploiting the fact that the polarized reflectance is fairly insensitive to hydrosols for given acquisition geometries. This study thus provides an opportunity to investigate various relationships between the microphysical properties of the oceanic and atmospheric particulates such as refractive index and particle size properties. It also contributes to the development of polarization-based inverse ocean color algorithms. Finally, this study provides insights for the validation of the ocean color parameters that will be retrieved ... Article in Journal/Newspaper Aerosol Robotic Network Institut national des sciences de l'Univers: HAL-INSU Journal of Quantitative Spectroscopy and Radiative Transfer 262 107515