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Improving atmospheric correction for highly productive coastal waters using the short wave infrared retrieval algorithm with water-leaving reflectance constraints at 412 nm

机译:使用具有412 nm的水反射率约束的短波红外检索算法来改善高产沿海水域的大气校正

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摘要

The recently developed short wave infrared (SWIR) atmospheric correction algorithm for ocean color retrieval uses long wavelength channels to retrieve atmospheric parameters to avoid bright pixel contamination. However, this retrieval is highly sensitive to errors in the aerosol model, which is magnified by the higher variability of aerosols observed over urban coastal areas. While adding extra regional aerosol models into the retrieval lookup tables would tend to increase retrieval error since these models are hard to distinguish in the IR, we explore the possibility that for highly productive waters with high colored dissolved organic matter, an estimate of the 412 nm channel water-leaving reflectance can be used to constrain the aerosol model retrieval and improve the water-leaving reflectance retrieval. Simulations show that this constraint is particularly useful where aerosol diversity is significant. To assess this algorithm we compare our retrievals with the operational SeaWiFS Data Analysis System (SeaDAS) SWIR and near infrared retrievals using in situ validation data in the Chesapeake Bay and show that, especially for absorbing aerosols, significant improvement is obtained. Further insight is also obtained by the intercomparison of retrieved remote sensing reflectance images at 443 and 551 nm, which demonstrates the removal of anomalous artifacts in the operational SeaDAS retrieval.
机译:最近开发的用于海洋颜色检索的短波红外(SWIR)大气校正算法使用长波长通道来检索大气参数,以避免明亮的像素污染。但是,这种检索对气溶胶模型中的误差高度敏感,而在城市沿海地区观察到的气溶胶变化较大,这种误差会被放大。虽然在检索表中添加额外的区域气溶胶模型可能会增加检索误差,因为这些模型在IR中难以区分,但我们探索了对于高产水和高色度可溶性有机物的估计为412 nm的可能性通道水反射率可用于约束气溶胶模型的反演,改善水反射率的反演。仿真表明,在气溶胶多样性显着的情况下,此约束特别有用。为了评估该算法,我们将切萨皮克湾的实地验证数据与可操作的SeaWiFS数据分析系统(SeaDAS)SWIR检索和近红外检索进行了比较,结果表明,特别是对于吸收浮质,取得了显着改善。通过在443和551 nm处检索到的遥感反射率图像之间的比较,也获得了进一步的洞察力,这表明在操作SeaDAS检索中消除了异常伪影。

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