A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water volume changes

Haotian Li, Jun Chen, Liguo Cao, Wei Liu, Zheng Duan
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Abstract

This study compared two different methods, the satellite altimetry-based and DEM (digital elevation model)-based, for estimating lake water volume changes. We focused on 34 lakes in China as the testing sites to compare the two methods for lake water volume changes from 2005 to 2020. The satellite altimetry-based method used water levels provided by the DAHITI (Database for Hydrological Time Series of Inland Waters) data and surface areas derived from Landsat imagery. The DEM-based method used the SRTM DEM data in combination with Landsat-derived lake extents. Our results showed a high degree of consistency in lake water volume changes estimated between the two methods (R2 < 0.90), but each method has its limitations. In terms of temporal coverage, the satellite altimetry-based method with the DAHITI data is limited by missing water level data in certain periods. The performance of the DEM-based method in extracting lake shore boundaries in regions with flat terrains (slope <1.5°) is not satisfactory. The DEM-based method has complete regional applicability (100%) in the Tibetan Plateau (TP) Lake Region, yet its effectiveness drops significantly in the Xinjiang and Eastern China Plain Lake Regions, with applicability rates of 50 and 40%, respectively.
基于卫星测高法和基于 DEM 法估算湖泊水量变化的比较研究
本研究比较了基于卫星测高和基于 DEM(数字高程模型)的两种估算湖泊水量变化的不同方法。我们以中国的 34 个湖泊为测试点,比较了这两种方法对 2005 年至 2020 年湖泊水量变化的影响。基于卫星测高法的方法使用了由 DAHITI(内陆水域水文时间序列数据库)数据提供的水位和大地卫星图像得出的湖面面积。基于 DEM 的方法使用了 SRTM DEM 数据和 Landsat 导出的湖泊面积。结果表明,两种方法估算的湖泊水量变化高度一致(R2 < 0.90),但每种方法都有其局限性。就时间覆盖范围而言,基于卫星测高法的 DAHITI 数据因某些时段的水位数据缺失而受到限制。基于 DEM 的方法在提取地形平坦地区(坡度小于 1.5°)的湖岸边界时性能不尽人意。基于 DEM 的方法在青藏高原(TP)湖区具有完全的区域适用性(100%),但在新疆和华东平原湖区的有效性明显下降,适用率分别为 50%和 40%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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