Redana M, Carrero-Carralero E
Department of Zoology, University of Cambridge, Cambridge, UK.
Fluvial Dynamics Research Group (RIUS), Universitat de Lleida (UdL), Catalonia, Lleida 25198, Spain.
MethodsX. 2024 Jul 6;13:102852. doi: 10.1016/j.mex.2024.102852. eCollection 2024 Dec.
Water bodies' bathymetry is a crucial information for understanding and sustainably managing water resources. Bathymetric surveys can be expensive due to sonar equipment cost, but low-cost alternatives options exist. We present a methodology that standardize the bathymetric data collection and processing of recreational-grade sonar data. The sonar data postprocessing if fully implemented in R, with ready to use functions able to produce bathymetric maps or extract river cross sections' metrics with minimal computing efforts. The method robustly produces a variety of outputs; the performance of the equipment adopted and of the interpolation technique allow for high accuracy and low-cost bathymetric reconstruction.•The method implemented allow for a robust and consistent processing of recreational-grade sonar water depth measures.•Through R-based functions the data are postprocessed to obtain bathymetry maps also for complex shape waterbodies.•Further metrics of rivers/channel cross sections can be extracted.
水体的水深测量对于理解和可持续管理水资源至关重要。由于声纳设备成本，水深测量调查可能很昂贵，但也存在低成本的替代方案。我们提出了一种方法，该方法可规范休闲级声纳数据的水深数据收集和处理。声纳数据后处理完全在R中实现，具有随时可用的函数，能够以最少的计算量生成水深图或提取河流横截面的度量。该方法能稳健地产生各种输出；所采用设备和插值技术的性能可实现高精度和低成本的水深重建。
•所实施的方法允许对休闲级声纳水深测量进行稳健且一致的处理。
•通过基于R的函数对数据进行后处理，以获得复杂形状水体的水深图。
•可以提取河流/河道横截面的其他度量。
