LiDAR intensity and turbidity dataset in water

Data series of measurements of the intensity of a LiDAR by means of the variation of the water level in a tank and turbidity are presented. The experiment consists of measuring the ability of a LiDAR Sick 2D LMS500-20000 PRO to scan the cross section of a tank, varying the water level and its turbidity. For this purpose, three types of clays were tested: white, green and red, which were used to induce the variation of turbidity in the water. The dataset was curated and hosted by the Hydraulic Laboratory at the Universidad de Ibagué, in collaboration with researchers from the Electronic and Civil Engineering Department and the Faculty of Forestry Engineering at the Universidad del Tolima in Colombia. The data was generated under laboratory conditions during the period January to March 2023. The purpose of creating this dataset is assess LiDAR's ability to scan wet cross sections under diferent turbidity conditions and levels of the water. The information can be useful for researchers in water resources and hydraulics instrumentation.本数据集呈现了一组基于水箱水位与水体浊度变化的激光雷达（LiDAR）强度测量序列数据。本实验旨在测试Sick品牌2D LMS500-20000 PRO型激光雷达对水箱截面的扫描能力，通过改变水箱水位与水体浊度实现变量控制。实验中选用白、绿、红三种黏土来调控水体浊度变化。 本数据集由哥伦比亚伊瓦格大学（Universidad de Ibagué）水力实验室整理并托管，合作方包括哥伦比亚托利马大学（Universidad del Tolima）电子与土木工程系以及林业工程学院的研究人员。实验数据于2023年1月至3月期间在实验室环境下采集生成。 本数据集的构建目的为评估激光雷达在不同浊度条件与水位下扫描湿润截面的性能。该数据集可供水资源与水力仪器仪表领域的研究人员使用。