Atmospheric correction for satellite-derived bathymetry in the Caribbean waters: from a single image to multi-temporal approaches using Sentinel-2A/B.
Atmospheric correction for satellite-derived bathymetry in the Caribbean waters: from a single image to multi-temporal approaches using Sentinel-2A/B.
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DOI：
10.1364/oe.390316
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发表时间：
2020-04
期刊：
影响因子：
3.8
通讯作者：
I. Caballero;R. Stumpf
中科院分区：
文献类型：
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作者：
I. Caballero;R. Stumpf
对哨兵2号卫星不同的大气改正程序在加勒比海两个岛屿(巴克和库莱布拉)上空恢复一致的卫星测深(SDB)的有效性进行了评估。SDB的对数比方法允许使用来自激光雷达测量的最小定标信息(本研究中为25个点)，被应用于10米空间分辨率的几个哨兵-2A/B场景。在为期一年的研究期内，整体表现取决于图像质量和AC。评估了三种AC处理器：ACOLITE指数模型(EXP)、ACOLITE暗光谱拟合模型(DSF)和C2RCC模型。ACOLITE EXP和ACOLITE DSF具有更高的一致性和可重复性，在深度达23米(激光雷达测量的极限)的逐个场景分析中获得准确的结果(平均误差∼1.1米)。相比之下，C2RCC产生的结果精度较低且噪声较大，通常误差较高(>；50%)(平均误差∼2.2m)，但它能够为具有中度严重日光反光的巴克岛场景反演深度。此外，我们还证明了使用ACOLITE作为输入场景的多时相合成模型可以在0-23m的深度范围内获得1m的总体中值误差。这种简单有效的合成模型能够以高可靠性和无缺失的方式显著提高沿海SDB估计，表现优于传统的单幅图像方法，从而消除了对单个场景进行评估的需要。交流校正输出的一致性表明了自动应用多场景合成技术的潜力，该技术可以应用开放和自由的哨兵-2数据集，以利于业务和科学调查。
Different atmospheric correction (AC) procedures for Sentinel-2 satellites are evaluated for their effectiveness in retrieving consistent satellite-derived bathymetry (SDB) over two islands in the Caribbean (Buck and Culebra). The log-ratio method for SDB, which allows use of minimal calibration information from lidar surveys (25 points in this study), is applied to several Sentinel-2A/B scenes at 10 m spatial resolution. The overall performance during a one-year study period depends on the image quality and AC. Three AC processors were evaluated: ACOLITE Exponential model (EXP), ACOLITE Dark Spectrum Fitting model (DSF), and C2RCC model. ACOLITE EXP and ACOLITE DSF produce greater consistency and repeatability with accurate results in a scene-by-scene analysis (mean errors ∼1.1 m) for depths up to 23 m (limit of lidar surveys). In contrast, C2RCC produces lower accuracy and noisier results with generally higher (>50%) errors (mean errors ∼2.2 m), but it is able to retrieve depth for scenes in Buck Island that have moderately severe sunglint. Furthermore, we demonstrate that a multi-temporal compositing model for SDB mapping, using ACOLITE for the input scenes, could achieve overall median errors <1 m for depths ranging 0-23 m. The simple and effective compositing model can considerably enhance coastal SDB estimates with high reliability and no missing data, outperforming the traditional single image approaches and thus eliminating the need to evaluate individual scenes. The consistency in the output from the AC correction indicates the potential for automated application of the multi-scene compositing technique, which can apply the open and free Sentinel-2 data set for the benefit of operational and scientific investigations.