Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters
Image correction for atmospheric effects (iCOR) is an atmospheric correction tool that can process satellite data collected over coastal, inland or transitional waters and land. The tool is adaptable with minimal effort to hyper- or multi-spectral radiometric sensors. By using a single atmospheric c...
Published in: | European Journal of Remote Sensing |
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Language: | English |
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2018
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Online Access: | https://www.vliz.be/imisdocs/publications/330081.pdf |
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ftvliz:oai:oma.vliz.be:311624 2023-05-15T13:06:05+02:00 Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters De Keukelaere, L. Sterckx, S. Adriaensen, S. Knaeps, E. Reusen, I. Giardino, C. Bresciani, M. Hunter, P. Neill, C. Van der Zande, D. Vaiciute, D. 2018 application/pdf https://www.vliz.be/imisdocs/publications/330081.pdf en eng info:eu-repo/semantics/altIdentifier/wos/000434653000002 info:eu-repo/semantics/altIdentifier/doi/doi.org/10.1080/22797254.2018.1457937 https://www.vliz.be/imisdocs/publications/330081.pdf info:eu-repo/semantics/openAccess %3Ci%3EEuropean+Journal+of+Remote+Sensing+51%281%29%3C%2Fi%3E%3A+525-542.+%3Ca+href%3D%22https%3A%2F%2Fdx.doi.org%2F10.1080%2F22797254.2018.1457937%22+target%3D%22_blank%22%3Ehttps%3A%2F%2Fdx.doi.org%2F10.1080%2F22797254.2018.1457937%3C%2Fa%3E info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2018 ftvliz https://doi.org/10.1080/22797254.2018.1457937 2022-05-01T11:18:38Z Image correction for atmospheric effects (iCOR) is an atmospheric correction tool that can process satellite data collected over coastal, inland or transitional waters and land. The tool is adaptable with minimal effort to hyper- or multi-spectral radiometric sensors. By using a single atmospheric correction implementation for land and water, discontinuities in reflectance within one scene are reduced. iCOR derives aerosol optical thickness from the image and allows for adjacency correction, which is SIMilarity Environmental Correction (SIMEC) over water. This paper illustrates the performance of iCOR for Landsat-8 OLI and Sentinel-2 MSI data acquired over water. An intercomparison of water leaving reflectance between iCOR and Aerosol Robotic Network – Ocean Color provided a quantitative assessment of performance and produced coefficient of determination (R 2 ) higher than 0.88 in all wavebands except the 865nm band. For inland waters, the SIMEC adjacency correction improved results in the red-edge and near-infrared region in relation to optical in situ measurements collected during field campaigns. Article in Journal/Newspaper Aerosol Robotic Network Flanders Marine Institute (VLIZ): Open Marine Archive (OMA) European Journal of Remote Sensing 51 1 525 542 |
institution |
Open Polar |
collection |
Flanders Marine Institute (VLIZ): Open Marine Archive (OMA) |
op_collection_id |
ftvliz |
language |
English |
description |
Image correction for atmospheric effects (iCOR) is an atmospheric correction tool that can process satellite data collected over coastal, inland or transitional waters and land. The tool is adaptable with minimal effort to hyper- or multi-spectral radiometric sensors. By using a single atmospheric correction implementation for land and water, discontinuities in reflectance within one scene are reduced. iCOR derives aerosol optical thickness from the image and allows for adjacency correction, which is SIMilarity Environmental Correction (SIMEC) over water. This paper illustrates the performance of iCOR for Landsat-8 OLI and Sentinel-2 MSI data acquired over water. An intercomparison of water leaving reflectance between iCOR and Aerosol Robotic Network – Ocean Color provided a quantitative assessment of performance and produced coefficient of determination (R 2 ) higher than 0.88 in all wavebands except the 865nm band. For inland waters, the SIMEC adjacency correction improved results in the red-edge and near-infrared region in relation to optical in situ measurements collected during field campaigns. |
format |
Article in Journal/Newspaper |
author |
De Keukelaere, L. Sterckx, S. Adriaensen, S. Knaeps, E. Reusen, I. Giardino, C. Bresciani, M. Hunter, P. Neill, C. Van der Zande, D. Vaiciute, D. |
spellingShingle |
De Keukelaere, L. Sterckx, S. Adriaensen, S. Knaeps, E. Reusen, I. Giardino, C. Bresciani, M. Hunter, P. Neill, C. Van der Zande, D. Vaiciute, D. Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters |
author_facet |
De Keukelaere, L. Sterckx, S. Adriaensen, S. Knaeps, E. Reusen, I. Giardino, C. Bresciani, M. Hunter, P. Neill, C. Van der Zande, D. Vaiciute, D. |
author_sort |
De Keukelaere, L. |
title |
Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters |
title_short |
Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters |
title_full |
Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters |
title_fullStr |
Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters |
title_full_unstemmed |
Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters |
title_sort |
atmospheric correction of landsat-8/oli and sentinel-2/msi data using icor algorithm: validation for coastal and inland waters |
publishDate |
2018 |
url |
https://www.vliz.be/imisdocs/publications/330081.pdf |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
%3Ci%3EEuropean+Journal+of+Remote+Sensing+51%281%29%3C%2Fi%3E%3A+525-542.+%3Ca+href%3D%22https%3A%2F%2Fdx.doi.org%2F10.1080%2F22797254.2018.1457937%22+target%3D%22_blank%22%3Ehttps%3A%2F%2Fdx.doi.org%2F10.1080%2F22797254.2018.1457937%3C%2Fa%3E |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/000434653000002 info:eu-repo/semantics/altIdentifier/doi/doi.org/10.1080/22797254.2018.1457937 https://www.vliz.be/imisdocs/publications/330081.pdf |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1080/22797254.2018.1457937 |
container_title |
European Journal of Remote Sensing |
container_volume |
51 |
container_issue |
1 |
container_start_page |
525 |
op_container_end_page |
542 |
_version_ |
1766402446855241728 |