Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters
Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters
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DOI：
10.1080/22797254.2018.1457937
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发表时间：
2018-01-01
影响因子：
4
通讯作者：
Vaiciute, D.
中科院分区：
文献类型：
--
作者：
De Keukelaere, L.;Sterckx, S.;Vaiciute, D.
大气效应图像校正（iCOR）是一种大气校正工具，可以处理在沿海、内陆或过渡水域和陆地上收集的卫星数据。该工具适用于超光谱或多光谱辐射测量传感器。通过对陆地和水域使用单一的大气校正实现，减少了一个场景内反射率的不连续。iCOR从图像中提取气溶胶光学厚度，并允许邻接校正，这是水上的相似环境校正（SIMEC）。本文举例说明了陆地卫星-8 OLI和哨兵-2 MSI在水上采集数据的iCOR性能。iCOR和气溶胶机器人网络- Ocean Color之间的水离开反射率相互比较提供了性能的定量评估，并产生了除865 nm波段外所有波段的决定系数（R-2）高于0.88。对于内陆水域，SIMEC邻接校正改善了在边缘和近红外区域的结果，相对于在野外活动中收集的光学原位测量。
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 865 nm band. For inland waters, the SIMEC adjacency correction improved results in the rededge and near-infrared region in relation to optical in situ measurements collected during field campaigns.