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photo of Zheng Duan on Lund webpage

Zheng Duan

Senior lecturer

photo of Zheng Duan on Lund webpage

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

Author

  • Haotian Li
  • Jun Chen
  • Liguo Cao
  • Wei Liu
  • Zheng Duan

Summary, in English

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.

Department/s

  • MERGE: ModElling the Regional and Global Earth system
  • Dept of Physical Geography and Ecosystem Science

Publishing year

2024-04-15

Language

English

Pages

1913-1927

Publication/Series

Water Science and Technology

Volume

89

Issue

8

Document type

Journal article

Publisher

IWA Publishing

Topic

  • Geosciences, Multidisciplinary

Keywords

  • China
  • DAHITI
  • lake
  • SRTM DEM
  • water volume

Status

Published

ISBN/ISSN/Other

  • ISSN: 0273-1223