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Iterative retrieval method for ocean attenuation profiles measured by airborne lidar

机译:机载LIDAR测量的海洋衰减谱的迭代检索方法

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摘要

Lidar remote sensing for ocean optical properties has been increasingly applied because of its ability to provide vertical structure information, which cannot be directly obtained by ocean color remote sensing. However, the application of this technology demands an inversion method to infer two quantities, i.e., attenuation and backscatter, from a single measurement. Here, a new iterative retrieval method is demonstrated to deduce the attenuation coefficient from ocean lidar return signals. One calculates the logarithmic backscatter-to-attenuation ratio k by an iterative solution based on a bio-optical model. Procedural examples of lidar-processing results-from raw data to attenuation-are presented, and the inversion results are compared with in situ measurements. The correlation coefficient R between the lidar-retrieval and in situ measurements is 0.8, and the root mean square error (RMSE) is 0.032. We then map the vertical structure of the lidar-retrieved attenuation along airborne lidar flight tracks and discuss the influences of k, the reference depth z(m), and the reference value alpha(m). Consequently, the reference value has little influence on the results for high-optical-thickness water, and k is the main error source in lidar return inversion. Primary results indicate that this method provides a more accurate k and improves the inversion accuracy of the lidar attenuation coefficient. (C) 2020 Optical Society of America
机译:由于能够提供垂直结构信息的能力,LIDAR遥感已经越来越多地应用,这不能通过海洋遥感直接获得。然而,该技术的应用需要从单一测量推断出两次数量,即衰减和反向散射的反转方法。这里,证明了一种新的迭代检索方法,从海洋LIDAR返回信号中推导出衰减系数。基于生物光学模型,通过迭代解对数反向散射率k。呈现LiDAR处理结果的程序示例 - 从原始数据到衰减 - 呈现,并将反转结果与原位测量进行比较。 LIDAR检索和原位测量之间的相关系数R为0.8,根均方误差(RMSE)为0.032。然后,我们沿着机载激光雷达飞行轨道映射激光雷达检索衰减的垂直结构,并讨论K,参考深度Z(M)和参考值α(M)的影响。因此,参考值对高光学厚度水的结果几乎没有影响,k是激光雷达返回反转中的主要误差源。主要结果表明,该方法提供更准确的k并提高激光振荡系数的反转精度。 (c)2020美国光学学会

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    《Applied optics》 |2020年第10期|共10页
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