青藏高原湖泊测深数据（2000，2018）

数据由三个字段组成：经度、纬度和湖泊深度。利用声呐设备在湖泊上走航测量得到的水深数据，GPS同步测量得到的经度和纬度。利用湖水盐度和温度数据校正声呐测得的深度数据，并剔除数据异常点。利用水深数据可以插值形成湖泊水下地形图。利用水下地形图可以计算湖泊的储水量，评估青藏高原湖泊总水量。利用水下地形图结合遥感数据还可以研究青藏高原湖泊水量变化特征及其影响因素，是亚洲水塔水量变化研究的重要组成部分。This dataset contains three fields: longitude, latitude, and lake depth. Water depth data was collected via underway sonar surveys on the lake, while longitude and latitude data were synchronously measured using GPS. The sonar-measured depth data were corrected with lake water salinity and temperature data, and data outliers were removed. Underwater topographic maps of the lake can be generated through interpolation based on the water depth data. These maps can be used to calculate lake water storage capacity and assess the total water volume of lakes on the Tibetan Plateau. Additionally, combining the underwater topographic maps with remote sensing data enables research on the characteristics and influencing factors of water volume changes in Tibetan Plateau lakes, which constitutes a critical component of studies on water volume variations in the Asian Water Tower.

搜集汇总

背景与挑战

背景概述

该数据集包含2000年和2018年青藏高原湖泊的测深数据，由经度、纬度和深度三个字段组成，通过声呐测量并经过校正处理。数据可用于生成湖泊水下地形图，以计算储水量、评估湖泊总水量，并研究水量变化特征，是亚洲水塔水量变化研究的关键组成部分。