Spatially distributed information on water depth is essential for many applications in river research and management and, under certain circumstances, can be inferred from remotely sensed data. Although fluvial remote sensing has emerged as a rapidly developing subdiscipline of the riverine sciences, more widespread adoption of these techniques has been hindered by a lack of accessible software. The Optical River Bathymetry Toolkit (ORByT) fills this void by providing a standalone package for mapping water depth from passive optical image data. The ORByT interface enables end users to import images and field‐based depth measurements, create and refine water masks, and perform spectrally based depth retrieval via an Optimal Band Ratio Analysis algorithm. The resulting bathymetric map can be exported as an image file, point cloud, and/or cross section; a thorough accuracy assessment also is incorporated into the workflow. In addition, image‐derived depth estimates can be subtracted from water surface elevations to obtain bed elevations suitable for input to a hydrodynamic model. Potential users of ORByT must bear in mind the inherent limitations of passive optical remote sensing: reliable bathymetry can only be inferred in clear‐flowing, shallow streams; this approach is not appropriate for more turbid, deeper rivers.

中文翻译：

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光学河测深工具包

关于水深的空间分布信息对于河流研究和管理中的许多应用都是必不可少的，并且在某些情况下，可以从遥感数据中推断出这些信息。尽管河流遥感已成为河流科学的快速发展的子学科，但由于缺乏可访问的软件，这些技术的更广泛采用受到了阻碍。光学河流测深工具包（ORByT）通过提供一个独立的程序包来填补这一空白，该程序包可从被动光学图像数据中绘制水深。最终用户可以使用ORByT界面导入图像和基于现场的深度测量结果，创建和优化水面罩，并通过最佳谱带比分析算法执行基于光谱的深度检索。生成的测深图可以导出为图像文件，点云，和/或横截面；全面的准确性评估也被整合到工作流程中。此外，可以从水面高程中减去图像得出的深度估计值，以获得适合输入水动力模型的河床高程。ORByT的潜在用户必须牢记无源光学遥感的固有局限性：可靠的测深只能在畅通无阻的浅水流中推断；这种方法不适用于更浑浊，更深的河流。仅在畅通无阻的浅水流中才能推断出可靠的测深法；这种方法不适用于更浑浊，更深的河流。仅在畅通无阻的浅水流中才能推断出可靠的测深法；这种方法不适用于更浑浊，更深的河流。