Babbel Benjamin J, Parrish Christopher E, Magruder Lori A
Department of Civil and Construction Engineering Oregon State University Corvallis OR USA.
Applied Research Laboratories University of Texas at Austin Austin TX USA.
Geophys Res Lett. 2021 Mar 16;48(5):e2020GL090629. doi: 10.1029/2020GL090629. Epub 2021 Mar 8.
Bathymetry retrievals from 2D, multispectral imagery, referred to as Satellite-Derived Bathymetry (SDB), afford the potential to obtain global, nearshore bathymetric data in optically clear waters. However, accurate SDB depth retrievals are limited in the absence of "seed depths." The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) space-based altimeter has proven capable of accurate bathymetry, but methods of employing ICESat-2 bathymetry for SDB retrievals over broad spatial extents are immature. This research aims to establish and test a baseline methodology for generating bathymetric surface models using SDB with ICESat-2. The workflow is operationally efficient (17-37 min processing time) and capable of producing bathymetry of sufficient vertical accuracy for many coastal science applications, with RMSEs of 0.96 and 1.54 m when using Sentinel-2 and Landsat 8, respectively. The highest priorities for further automation have also been identified, supporting the long-range goal of global coral reef habitat change analysis using ICESat-2-aided SDB.
从二维多光谱图像中获取测深数据，即卫星衍生测深法（SDB），为在光学清澈的水域中获取全球近岸测深数据提供了可能。然而，在没有“种子深度”的情况下，精确的SDB深度反演受到限制。冰、云和陆地高程卫星-2（ICESat-2）天基测高仪已被证明能够进行精确测深，但在广阔空间范围内将ICESat-2测深法用于SDB反演的方法尚不成熟。本研究旨在建立并测试一种使用SDB和ICESat-2生成测深表面模型的基线方法。该工作流程操作高效（处理时间为17 - 37分钟），能够为许多海岸科学应用生成具有足够垂直精度的测深数据，使用哨兵-2和陆地卫星8时的均方根误差分别为0.96米和1.54米。还确定了进一步自动化的最高优先级事项，支持利用ICESat-2辅助SDB进行全球珊瑚礁栖息地变化分析的长期目标。
