Assessment of atmospheric correction methods in MSI imagery for deriving bathymetry and substrates of shallow-water coral reefs

Accurate atmospheric correction (AC) is a crucial procedure for monitoring coral reef habitat in shallow waters via remote sensing techniques. In this study, three commonly used AC processors—Dark Spectrum Fitting (DSF), Case 2 Regional Coast Color processor (C2RCC), and Polymer—were applied to eval...

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Main Authors: Wei Huang, Jun Zhao, Mingjie Li, Quansheng Lou, Nanyang Yan, Shaojie Sun
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Marine Science
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Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2025.1495793/full
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author Wei Huang
Wei Huang
Wei Huang
Wei Huang
Jun Zhao
Mingjie Li
Mingjie Li
Mingjie Li
Quansheng Lou
Quansheng Lou
Nanyang Yan
Nanyang Yan
Nanyang Yan
Shaojie Sun
author_facet Wei Huang
Wei Huang
Wei Huang
Wei Huang
Jun Zhao
Mingjie Li
Mingjie Li
Mingjie Li
Quansheng Lou
Quansheng Lou
Nanyang Yan
Nanyang Yan
Nanyang Yan
Shaojie Sun
author_sort Wei Huang
collection DOAJ
description Accurate atmospheric correction (AC) is a crucial procedure for monitoring coral reef habitat in shallow waters via remote sensing techniques. In this study, three commonly used AC processors—Dark Spectrum Fitting (DSF), Case 2 Regional Coast Color processor (C2RCC), and Polymer—were applied to evaluate their performance on Sentinel-2 MSI imagery of coral reef areas in the Xisha Islands, South China Sea. Since the latter two processors incorporate a sunglint removal approach, additional procedures were applied to DSF. These include short-wave infrared band Glint Correction (GC), DeGlint (DG), and near-infrared band intercept (DG865) algorithms to enhance glint correction after the DSF processor. The results demonstrate that Polymer outperforms the DSF method (either standalone or with glint corrections) and C2RCC. Polymer-derived remote sensing reflectance showed excellent agreement with in situ measurements, with R2 > 0.95 in 3-hour matches and R2 > 0.65 in 6-hour matches in visible bands (443nm-665nm). It effectively removed most of the glint contamination in the NIR bands (740nm,783nm), while revealing contributions from bottom reflections. Under various image conditions, Polymer consistently delivered the highest bathymetry accuracy (R2: 0.51 - 0.85) and the most stable substrate classifications. This study underscores the critical role of accurate AC in retrieving bathymetry and coral reef substrate information from optically shallow waters using medium- to high-resolution MSI imagery. Polymer proves to be a robust tool for precise remote sensing of coral reefs, offering superior performance even in challenging conditions.
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issn 2296-7745
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publisher Frontiers Media S.A.
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spelling doaj-art-a10f165a9df54239b701eb92e32439b12025-02-10T10:48:58ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452025-02-011210.3389/fmars.2025.14957931495793Assessment of atmospheric correction methods in MSI imagery for deriving bathymetry and substrates of shallow-water coral reefsWei Huang0Wei Huang1Wei Huang2Wei Huang3Jun Zhao4Mingjie Li5Mingjie Li6Mingjie Li7Quansheng Lou8Quansheng Lou9Nanyang Yan10Nanyang Yan11Nanyang Yan12Shaojie Sun13Technology Innovation Center for South China Sea Remote Sensing, Surveying and Mapping Collaborative Application, Ministry of Natural Resources, Guangzhou, ChinaSchool of Marine Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, ChinaSouth China Sea Marine Institute of Environmental and Planning, State Oceanic Administration, Guangzhou, ChinaNansha Islands Coral Reef Ecosystem National Observation and Research Station, Guangzhou, ChinaSchool of Marine Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, ChinaTechnology Innovation Center for South China Sea Remote Sensing, Surveying and Mapping Collaborative Application, Ministry of Natural Resources, Guangzhou, ChinaSouth China Sea Marine Institute of Environmental and Planning, State Oceanic Administration, Guangzhou, ChinaNansha Islands Coral Reef Ecosystem National Observation and Research Station, Guangzhou, ChinaNansha Islands Coral Reef Ecosystem National Observation and Research Station, Guangzhou, ChinaOcean Centre of Sansha, Ministry of Natural Resources, Sansha, ChinaSchool of Marine Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, ChinaGuangzhou Urban Planning & Design Survey Research Institute, Guangzhou, ChinaCollaborative Innovation Center for Natural Resources Planning and Marine Technology of Guangzhou, Guangzhou, ChinaSchool of Marine Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, ChinaAccurate atmospheric correction (AC) is a crucial procedure for monitoring coral reef habitat in shallow waters via remote sensing techniques. In this study, three commonly used AC processors—Dark Spectrum Fitting (DSF), Case 2 Regional Coast Color processor (C2RCC), and Polymer—were applied to evaluate their performance on Sentinel-2 MSI imagery of coral reef areas in the Xisha Islands, South China Sea. Since the latter two processors incorporate a sunglint removal approach, additional procedures were applied to DSF. These include short-wave infrared band Glint Correction (GC), DeGlint (DG), and near-infrared band intercept (DG865) algorithms to enhance glint correction after the DSF processor. The results demonstrate that Polymer outperforms the DSF method (either standalone or with glint corrections) and C2RCC. Polymer-derived remote sensing reflectance showed excellent agreement with in situ measurements, with R2 > 0.95 in 3-hour matches and R2 > 0.65 in 6-hour matches in visible bands (443nm-665nm). It effectively removed most of the glint contamination in the NIR bands (740nm,783nm), while revealing contributions from bottom reflections. Under various image conditions, Polymer consistently delivered the highest bathymetry accuracy (R2: 0.51 - 0.85) and the most stable substrate classifications. This study underscores the critical role of accurate AC in retrieving bathymetry and coral reef substrate information from optically shallow waters using medium- to high-resolution MSI imagery. Polymer proves to be a robust tool for precise remote sensing of coral reefs, offering superior performance even in challenging conditions.https://www.frontiersin.org/articles/10.3389/fmars.2025.1495793/fullatmospheric correction (AC)sentinel-2 MSIcoral reefsoptically shallow watersunglint correction
spellingShingle Wei Huang
Wei Huang
Wei Huang
Wei Huang
Jun Zhao
Mingjie Li
Mingjie Li
Mingjie Li
Quansheng Lou
Quansheng Lou
Nanyang Yan
Nanyang Yan
Nanyang Yan
Shaojie Sun
Assessment of atmospheric correction methods in MSI imagery for deriving bathymetry and substrates of shallow-water coral reefs
Frontiers in Marine Science
atmospheric correction (AC)
sentinel-2 MSI
coral reefs
optically shallow water
sunglint correction
title Assessment of atmospheric correction methods in MSI imagery for deriving bathymetry and substrates of shallow-water coral reefs
title_full Assessment of atmospheric correction methods in MSI imagery for deriving bathymetry and substrates of shallow-water coral reefs
title_fullStr Assessment of atmospheric correction methods in MSI imagery for deriving bathymetry and substrates of shallow-water coral reefs
title_full_unstemmed Assessment of atmospheric correction methods in MSI imagery for deriving bathymetry and substrates of shallow-water coral reefs
title_short Assessment of atmospheric correction methods in MSI imagery for deriving bathymetry and substrates of shallow-water coral reefs
title_sort assessment of atmospheric correction methods in msi imagery for deriving bathymetry and substrates of shallow water coral reefs
topic atmospheric correction (AC)
sentinel-2 MSI
coral reefs
optically shallow water
sunglint correction
url https://www.frontiersin.org/articles/10.3389/fmars.2025.1495793/full
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