Mapping bathymetric change is a core task for a wide range of navigation, research, monitoring, and design applications. Satellite-derived bathymetry (SDB) can support this activity, particularly when using data from a platform, like the Sentinel-2A/B twin mission of the Copernicus programme, which provides routine and repetitive image acquisition at 10 m spatial resolution. As a result, SDB can expand on the temporal and spatial scope of more conventional mapping methods, such as lidar (or multi-beam). In this study, we use SDB, in comparison with high-resolution airborne lidar bathymetry (ALB), to quantify bathymetric changes at two inlets in North Carolina following the impacts of the devastating Hurricane Florence in September 2018. A recently developed multi-temporal SDB model that overcomes problems associated with turbidity and noise effects (whitecaps, ships, cloud shadows, etc.) is used with Sentinel-2 imagery. We identify bathymetric changes in shallow areas with navigation channels in two of the most dynamic inlets in the Outer Banks, Oregon and Hatteras. Multiple lidar surveys are used to validate the SDB method and for an assessment of accuracy and vertical uncertainty. The multi-temporal SDB products and ALB both show similar results in the erosion/accretion patterns. Comparing the change determined from the two methods, gives a median absolute error of ~0.5 m of SDB compared with ALB, with bias of ±0.2 m for depths ≤7 m; errors that are equivalent to those associated with the SDB estimated absolute depths. The composited SDB yields greater spatial coverage than lidar because it can retrieve data in areas where the lidar mission may have been constrained by turbidity or surf, and also because of the 300-km swath width. The Sentinel-2 constellation provides five-day revisit at the equator (more frequent at higher latitudes), allowing rapid construction of a bathymetric map as well as developing an archive for retrospective analysis. By implementing the multi-temporal turbidity correction, SDB based on Sentinel-2 may substantially enhance existing survey methods for change detection and support operational and recursive coastal monitoring on local to regional scales.

测绘测深变化是各种导航、研究、监测和设计应用的核心任务。卫星衍生的水深测量 (SDB) 可以支持这一活动，特别是在使用来自平台的数据时，例如哥白尼计划的 Sentinel-2A/B 双任务，它以 10 m 的空间分辨率提供常规和重复的图像采集。因此，SDB 可以扩展更传统的映射方法的时间和空间范围，例如激光雷达（或多波束）。在这项研究中，我们使用 SDB 与高分辨率机载激光雷达测深 (ALB) 进行比较，以量化北卡罗来纳州两个入口在 2018 年 9 月毁灭性飓风佛罗伦萨的影响后的测深变化。最近开发的多时相 SDB 模型克服了与浊度和噪声效应（白浪、船只、云影等）相关的问题，用于 Sentinel-2 图像。我们在俄勒冈州和哈特拉斯州外滩的两个最具活力的入口中通过导航通道确定了浅水区的测深变化。多次激光雷达测量用于验证 SDB 方法并评估准确性和垂直不确定性。多时态 SDB 产品和 ALB 在侵蚀/吸积模式中都显示出相似的结果。比较从两种方法确定的变化，与 ALB 相比，SDB 的中值绝对误差为 ~0.5 m，深度≤7 m 时偏差为 ±0.2 m；误差等同于与 SDB 估计绝对深度相关的误差。复合 SDB 产生比激光雷达更大的空间覆盖范围，因为它可以在激光雷达任务可能受到浊度或海浪限制的区域中检索数据，并且还因为 300 公里的条带宽度。Sentinel-2 星座提供了为期五天的赤道重访（在高纬度地区更频繁），允许快速构建测深图以及开发用于回顾性分析的档案。通过实施多时相浊度校正，基于 Sentinel-2 的 SDB 可以显着增强现有的用于变化检测的调查方法，并支持局部到区域尺度的操作和递归海岸监测。Sentinel-2 星座提供了为期五天的赤道重访（在高纬度地区更频繁），允许快速构建测深图以及开发用于回顾性分析的档案。通过实施多时相浊度校正，基于 Sentinel-2 的 SDB 可以显着增强现有的用于变化检测的调查方法，并支持局部到区域尺度的操作和递归海岸监测。Sentinel-2 星座提供了为期五天的赤道重访（在高纬度地区更频繁），允许快速构建测深图以及开发用于回顾性分析的档案。通过实施多时相浊度校正，基于 Sentinel-2 的 SDB 可以显着增强现有的用于变化检测的调查方法，并支持局部到区域尺度的操作和递归海岸监测。