SWIR-based atmospheric correction for Satellite Ocean Color using Principal Component Analysis decomposition over the la Plata River highly turbid waters

The quality of information provided by ocean color imagery relies on the availability of an accurate atmospheric correction algorithm, which turns to be more complicated in highly turbid coastal regions, such as in the Río de la Plata River (RdP) (Argentina-Uruguay). In these waters, the usual black...

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Detalles Bibliográficos
Publicado: 2016
Materias:
Color
Infrared devices
Pixels
Radiometers
Reflection
Atmospheric conditions
Atmospheric correction algorithm
Atmospheric correction schemes
Atmospheric corrections
Quality of information
Satellite Ocean Color
Short wave infrared
Suspended particulate matters
Principal component analysis
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97814673_v_n_p_Gossn
http://hdl.handle.net/20.500.12110/paper_97814673_v_n_p_Gossn
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_97814673_v_n_p_Gossn
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spelling paper:paper_97814673_v_n_p_Gossn2023-06-08T16:37:41Z SWIR-based atmospheric correction for Satellite Ocean Color using Principal Component Analysis decomposition over the la Plata River highly turbid waters Color Infrared devices Pixels Radiometers Reflection Atmospheric conditions Atmospheric correction algorithm Atmospheric correction schemes Atmospheric corrections Quality of information Satellite Ocean Color Short wave infrared Suspended particulate matters Principal component analysis The quality of information provided by ocean color imagery relies on the availability of an accurate atmospheric correction algorithm, which turns to be more complicated in highly turbid coastal regions, such as in the Río de la Plata River (RdP) (Argentina-Uruguay). In these waters, the usual black pixel assumption in the Near Infra-Red (NIR, 700-1000 nm) bands is often invalid due to high backscattering from suspended particulate matter (SPM) present in the water. In this work, an atmospheric correction scheme is presented to estimate water reflectance in the 865 nm NIR band. This scheme is based on shifting the black pixel assumption to the Short-Wave-Infra-Red (SWIR, 1000-3000 nm) bands and a Principal Component Analysis (PCA) decomposition of simulated atmosphere-interface reflectances. To estimate the latter component in the top of atmosphere (TOA) signal, the weight of each of these PCA eigenvectors is determined from the SWIR bands in a per-pixel-basis. The algorithm was theoretically tested from a set of simulated TOA reflectances performed considering atmospheric conditions and in-situ water reflectance data from RdP. Four schemes were analyzed using different sets of SWIR bands present in MODIS and SABIA-Mar (future Argentinian-Brazilian ocean color mission) sensors. These sets differ from each other in their correlation to the NIR and the validity of the black pixel assumption. Without considering instrument noise, the scheme with better performance is the one in which water reflectance is negligible in the SWIR bands considered: 1640 nm (SABIA-Mar/MODIS) and 2130 nm (MODIS). © 2016 IEEE. 2016 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97814673_v_n_p_Gossn http://hdl.handle.net/20.500.12110/paper_97814673_v_n_p_Gossn
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Color
Infrared devices
Pixels
Radiometers
Reflection
Atmospheric conditions
Atmospheric correction algorithm
Atmospheric correction schemes
Atmospheric corrections
Quality of information
Satellite Ocean Color
Short wave infrared
Suspended particulate matters
Principal component analysis
spellingShingle Color
Infrared devices
Pixels
Radiometers
Reflection
Atmospheric conditions
Atmospheric correction algorithm
Atmospheric correction schemes
Atmospheric corrections
Quality of information
Satellite Ocean Color
Short wave infrared
Suspended particulate matters
Principal component analysis
SWIR-based atmospheric correction for Satellite Ocean Color using Principal Component Analysis decomposition over the la Plata River highly turbid waters
topic_facet Color
Infrared devices
Pixels
Radiometers
Reflection
Atmospheric conditions
Atmospheric correction algorithm
Atmospheric correction schemes
Atmospheric corrections
Quality of information
Satellite Ocean Color
Short wave infrared
Suspended particulate matters
Principal component analysis
description The quality of information provided by ocean color imagery relies on the availability of an accurate atmospheric correction algorithm, which turns to be more complicated in highly turbid coastal regions, such as in the Río de la Plata River (RdP) (Argentina-Uruguay). In these waters, the usual black pixel assumption in the Near Infra-Red (NIR, 700-1000 nm) bands is often invalid due to high backscattering from suspended particulate matter (SPM) present in the water. In this work, an atmospheric correction scheme is presented to estimate water reflectance in the 865 nm NIR band. This scheme is based on shifting the black pixel assumption to the Short-Wave-Infra-Red (SWIR, 1000-3000 nm) bands and a Principal Component Analysis (PCA) decomposition of simulated atmosphere-interface reflectances. To estimate the latter component in the top of atmosphere (TOA) signal, the weight of each of these PCA eigenvectors is determined from the SWIR bands in a per-pixel-basis. The algorithm was theoretically tested from a set of simulated TOA reflectances performed considering atmospheric conditions and in-situ water reflectance data from RdP. Four schemes were analyzed using different sets of SWIR bands present in MODIS and SABIA-Mar (future Argentinian-Brazilian ocean color mission) sensors. These sets differ from each other in their correlation to the NIR and the validity of the black pixel assumption. Without considering instrument noise, the scheme with better performance is the one in which water reflectance is negligible in the SWIR bands considered: 1640 nm (SABIA-Mar/MODIS) and 2130 nm (MODIS). © 2016 IEEE.
title SWIR-based atmospheric correction for Satellite Ocean Color using Principal Component Analysis decomposition over the la Plata River highly turbid waters
title_short SWIR-based atmospheric correction for Satellite Ocean Color using Principal Component Analysis decomposition over the la Plata River highly turbid waters
title_full SWIR-based atmospheric correction for Satellite Ocean Color using Principal Component Analysis decomposition over the la Plata River highly turbid waters
title_fullStr SWIR-based atmospheric correction for Satellite Ocean Color using Principal Component Analysis decomposition over the la Plata River highly turbid waters
title_full_unstemmed SWIR-based atmospheric correction for Satellite Ocean Color using Principal Component Analysis decomposition over the la Plata River highly turbid waters
title_sort swir-based atmospheric correction for satellite ocean color using principal component analysis decomposition over the la plata river highly turbid waters
publishDate 2016
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97814673_v_n_p_Gossn
http://hdl.handle.net/20.500.12110/paper_97814673_v_n_p_Gossn
_version_ 1768541774136999936

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