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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Frontiers Media S.A.
2025-02-01
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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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institution | Kabale University |
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language | English |
publishDate | 2025-02-01 |
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series | Frontiers in Marine Science |
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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