Abstract The Operational Land Imager (OLI) onboard Landsat-8 satellite can provide remote sensing reflectance (Rrs) of aquatic environments with high spatial resolution (30 m), allowing for benthic habitat mapping and monitoring of bathymetry and water column optical properties. To facilitate these applications, accurate sensor-derived Rrs is required. In this study, we assess atmospheric correction schemes, including NASA's NIR-SWIR approach, Acolite's NIR and SWIR approaches and the cloud-shadow approach. We provide the first comprehensive evaluation for Landsat-8 Rrs retrievals in optically shallow coral reefs, along with an investigation of Landsat-8 Rrs products in a temperate turbid embayment. The obtained Landsat-8 Rrs data products are evaluated with concurrent in situ hyperspectral Rrs measurements. Our analyses show that the NASA and the cloud-shadow approaches generated reliable Rrs products across shallow coral reefs and optically deep waters. This evaluation suggests that high quality Rrs products are achievable from the Landsat-8 satellite in optically shallow environments, which supports further application of Landsat-8 type measurements for coral reef studies.

中文翻译：

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Landsat-8大气校正方案和珊瑚礁和沿海浑浊水域遥感反射率产品的评估

摘要 Landsat-8 卫星上的操作陆地成像仪 (OLI) 可以提供具有高空间分辨率 (30 m) 的水生环境的遥感反射 (Rrs)，允许进行海底栖息地测绘和测深和水柱光学特性的监测。为了促进这些应用，需要精确的传感器衍生的 Rrs。在这项研究中，我们评估了大气校正方案，包括 NASA 的 NIR-SWIR 方法、Acolite 的 NIR 和 SWIR 方法以及云影方法。我们对光学浅珊瑚礁中的 Landsat-8 Rrs 反演进行了首次综合评估，同时对温带混浊海湾中的 Landsat-8 Rrs 产品进行了调查。获得的 Landsat-8 Rrs 数据产品通过同时进行的原位高光谱 Rrs 测量进行评估。我们的分析表明，美国宇航局和云影方法在浅珊瑚礁和光学深水中产生了可靠的 Rrs 产品。该评估表明，Landsat-8 卫星可以在光学浅层环境中获得高质量的 Rrs 产品，这支持进一步将 Landsat-8 型测量应用于珊瑚礁研究。