A Novel Framework of Integrating UV and NIR Atmospheric Correction Algorithms for Coastal Ocean Color Remote Sensing

Atmospheric correction is a fundamental process of ocean color remote sensing to remove the atmospheric effect from the top-of-atmosphere. Generally, Near Infrared (NIR) based algorithms perform well for clear waters, while Ultraviolet (UV) based algorithms can obtain good results for turbid waters....

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Autores principales:	Feng Qiao, Jianyu Chen, Zhihua Mao, Bing Han, Qingjun Song, Yuying Xu, Qiankun Zhu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	integrated algorithm ocean color atmospheric correction UV-NIR Science Q
Acceso en línea:	https://doaj.org/article/ac3b54caedca49918252c3cba36a3060
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spelling	oai:doaj.org-article:ac3b54caedca49918252c3cba36a30602021-11-11T18:50:00ZA Novel Framework of Integrating UV and NIR Atmospheric Correction Algorithms for Coastal Ocean Color Remote Sensing10.3390/rs132142062072-4292https://doaj.org/article/ac3b54caedca49918252c3cba36a30602021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4206https://doaj.org/toc/2072-4292Atmospheric correction is a fundamental process of ocean color remote sensing to remove the atmospheric effect from the top-of-atmosphere. Generally, Near Infrared (NIR) based algorithms perform well for clear waters, while Ultraviolet (UV) based algorithms can obtain good results for turbid waters. However, the latter tends to produce noisy patterns for clear waters. An ideal and practical solution to deal with such a dilemma is to apply NIR- and UV-based algorithms for clear and turbid waters, respectively. We propose a novel atmospheric correction method that integrates the advantages of UV- and NIR-based atmospheric correction (AC) algorithms for coastal ocean color remote sensing. The new approach is called UV-NIR combined AC algorithm. The performance of the new algorithm is evaluated based on match-ups between GOCI images and the AERONET-OC dataset. The results show that the values of retrieved Rrs (Remote Sensing Reflectance) at visible bands agreed well with the in-situ observations. Compared with the SeaDAS (SeaWiFS Data Analysis System) standard NIR algorithm, the new AC algorithm can achieve better precision and provide more available data.Feng QiaoJianyu ChenZhihua MaoBing HanQingjun SongYuying XuQiankun ZhuMDPI AGarticleintegrated algorithmocean coloratmospheric correctionUV-NIRScienceQENRemote Sensing, Vol 13, Iss 4206, p 4206 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	integrated algorithm ocean color atmospheric correction UV-NIR Science Q
spellingShingle	integrated algorithm ocean color atmospheric correction UV-NIR Science Q Feng Qiao Jianyu Chen Zhihua Mao Bing Han Qingjun Song Yuying Xu Qiankun Zhu A Novel Framework of Integrating UV and NIR Atmospheric Correction Algorithms for Coastal Ocean Color Remote Sensing
description	Atmospheric correction is a fundamental process of ocean color remote sensing to remove the atmospheric effect from the top-of-atmosphere. Generally, Near Infrared (NIR) based algorithms perform well for clear waters, while Ultraviolet (UV) based algorithms can obtain good results for turbid waters. However, the latter tends to produce noisy patterns for clear waters. An ideal and practical solution to deal with such a dilemma is to apply NIR- and UV-based algorithms for clear and turbid waters, respectively. We propose a novel atmospheric correction method that integrates the advantages of UV- and NIR-based atmospheric correction (AC) algorithms for coastal ocean color remote sensing. The new approach is called UV-NIR combined AC algorithm. The performance of the new algorithm is evaluated based on match-ups between GOCI images and the AERONET-OC dataset. The results show that the values of retrieved Rrs (Remote Sensing Reflectance) at visible bands agreed well with the in-situ observations. Compared with the SeaDAS (SeaWiFS Data Analysis System) standard NIR algorithm, the new AC algorithm can achieve better precision and provide more available data.
format	article
author	Feng Qiao Jianyu Chen Zhihua Mao Bing Han Qingjun Song Yuying Xu Qiankun Zhu
author_facet	Feng Qiao Jianyu Chen Zhihua Mao Bing Han Qingjun Song Yuying Xu Qiankun Zhu
author_sort	Feng Qiao
title	A Novel Framework of Integrating UV and NIR Atmospheric Correction Algorithms for Coastal Ocean Color Remote Sensing
title_short	A Novel Framework of Integrating UV and NIR Atmospheric Correction Algorithms for Coastal Ocean Color Remote Sensing
title_full	A Novel Framework of Integrating UV and NIR Atmospheric Correction Algorithms for Coastal Ocean Color Remote Sensing
title_fullStr	A Novel Framework of Integrating UV and NIR Atmospheric Correction Algorithms for Coastal Ocean Color Remote Sensing
title_full_unstemmed	A Novel Framework of Integrating UV and NIR Atmospheric Correction Algorithms for Coastal Ocean Color Remote Sensing
title_sort	novel framework of integrating uv and nir atmospheric correction algorithms for coastal ocean color remote sensing
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ac3b54caedca49918252c3cba36a3060
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A Novel Framework of Integrating UV and NIR Atmospheric Correction Algorithms for Coastal Ocean Color Remote Sensing

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