| one publication added to basket [311624] | 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). Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters. European Journal of Remote Sensing 51(1): 525-542. https://dx.doi.org/10.1080/22797254.2018.1457937 In: European Journal of Remote Sensing: Abingdon. e-ISSN 2279-7254, more |   |
| Author keywords | Icor; atmospheric correction; adjacency effects; SIMEC; Landsat-8 OLI;Sentinel-2 MSI |
| Authors | | Top | | - Reusen, I.
- Giardino, C.
- Bresciani, M.
- Hunter, P.
| - Neill, C.
- Van der Zande, D., more
- Vaiciute, D.
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| Abstract | 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 (R2) higher than 0.88 in all wavebands except the 865 nm 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. |
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