Feasibility of polarized all-sky imaging for aerosol characterization
In this study, we investigate the method of polarized all-sky imaging with respect to aerosol characterization. As a technical frame work for image processing and analysis, we propose Zernike polynomials to decompose the relative Stokes parameter distributions. This defines a suitable and efficient...
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ftdoajarticles:oai:doaj.org/article:98b9d343c1ba46598deea972801f9651 2023-05-15T13:06:06+02:00 Feasibility of polarized all-sky imaging for aerosol characterization A. Kreuter M. Blumthaler 2013-07-01T00:00:00Z https://doi.org/10.5194/amt-6-1845-2013 https://doaj.org/article/98b9d343c1ba46598deea972801f9651 EN eng Copernicus Publications http://www.atmos-meas-tech.net/6/1845/2013/amt-6-1845-2013.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-6-1845-2013 1867-1381 1867-8548 https://doaj.org/article/98b9d343c1ba46598deea972801f9651 Atmospheric Measurement Techniques, Vol 6, Iss 7, Pp 1845-1854 (2013) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2013 ftdoajarticles https://doi.org/10.5194/amt-6-1845-2013 2022-12-31T11:12:21Z In this study, we investigate the method of polarized all-sky imaging with respect to aerosol characterization. As a technical frame work for image processing and analysis, we propose Zernike polynomials to decompose the relative Stokes parameter distributions. This defines a suitable and efficient feature vector which is also appealing because it is independent of calibration, circumvents overexposure problems and is robust against pixel noise. We model the polarized radiances of realistic aerosol scenarios and construct the feature vector space of the key aerosol types in terms of the first two principal components describing the maximal variances. We show that, using this representation, aerosol types can be clearly distinguished with respect to fine and coarse mode dominated size distribution and index of refraction. We further investigate the individual influences of varying aerosol properties and solar zenith angle. This suggests that polarized all-sky imaging may improve aerosol characterization in combination with sky scanning radiometers of the existing Aerosol Robotic Network (AERONET) especially at low aerosol optical depths and low solar zenith angles. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 6 7 1845 1854 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
spellingShingle |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 A. Kreuter M. Blumthaler Feasibility of polarized all-sky imaging for aerosol characterization |
topic_facet |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
description |
In this study, we investigate the method of polarized all-sky imaging with respect to aerosol characterization. As a technical frame work for image processing and analysis, we propose Zernike polynomials to decompose the relative Stokes parameter distributions. This defines a suitable and efficient feature vector which is also appealing because it is independent of calibration, circumvents overexposure problems and is robust against pixel noise. We model the polarized radiances of realistic aerosol scenarios and construct the feature vector space of the key aerosol types in terms of the first two principal components describing the maximal variances. We show that, using this representation, aerosol types can be clearly distinguished with respect to fine and coarse mode dominated size distribution and index of refraction. We further investigate the individual influences of varying aerosol properties and solar zenith angle. This suggests that polarized all-sky imaging may improve aerosol characterization in combination with sky scanning radiometers of the existing Aerosol Robotic Network (AERONET) especially at low aerosol optical depths and low solar zenith angles. |
format |
Article in Journal/Newspaper |
author |
A. Kreuter M. Blumthaler |
author_facet |
A. Kreuter M. Blumthaler |
author_sort |
A. Kreuter |
title |
Feasibility of polarized all-sky imaging for aerosol characterization |
title_short |
Feasibility of polarized all-sky imaging for aerosol characterization |
title_full |
Feasibility of polarized all-sky imaging for aerosol characterization |
title_fullStr |
Feasibility of polarized all-sky imaging for aerosol characterization |
title_full_unstemmed |
Feasibility of polarized all-sky imaging for aerosol characterization |
title_sort |
feasibility of polarized all-sky imaging for aerosol characterization |
publisher |
Copernicus Publications |
publishDate |
2013 |
url |
https://doi.org/10.5194/amt-6-1845-2013 https://doaj.org/article/98b9d343c1ba46598deea972801f9651 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Atmospheric Measurement Techniques, Vol 6, Iss 7, Pp 1845-1854 (2013) |
op_relation |
http://www.atmos-meas-tech.net/6/1845/2013/amt-6-1845-2013.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-6-1845-2013 1867-1381 1867-8548 https://doaj.org/article/98b9d343c1ba46598deea972801f9651 |
op_doi |
https://doi.org/10.5194/amt-6-1845-2013 |
container_title |
Atmospheric Measurement Techniques |
container_volume |
6 |
container_issue |
7 |
container_start_page |
1845 |
op_container_end_page |
1854 |
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1766403474813091840 |