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

Li, Haotian ; Chen, Jun ; Cao, Liguo ; Liu, Wei and Duan, Zheng LU (2024) In Water Science and Technology 89(8). p.1913-1927
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... (More)

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.

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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
China, DAHITI, lake, SRTM DEM, water volume
in
Water Science and Technology
volume
89
issue
8
pages
15 pages
publisher
IWA Publishing
external identifiers
  • scopus:85191731649
  • pmid:38678399
ISSN
0273-1223
DOI
10.2166/wst.2024.086
language
English
LU publication?
yes
id
0c5f09e4-c3b6-4915-ad2f-856608f6fa86
date added to LUP
2024-05-16 13:47:42
date last changed
2024-12-13 12:47:47
@article{0c5f09e4-c3b6-4915-ad2f-856608f6fa86,
  abstract     = {{<p>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 (R<sup>2</sup> . 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.</p>}},
  author       = {{Li, Haotian and Chen, Jun and Cao, Liguo and Liu, Wei and Duan, Zheng}},
  issn         = {{0273-1223}},
  keywords     = {{China; DAHITI; lake; SRTM DEM; water volume}},
  language     = {{eng}},
  month        = {{04}},
  number       = {{8}},
  pages        = {{1913--1927}},
  publisher    = {{IWA Publishing}},
  series       = {{Water Science and Technology}},
  title        = {{A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water volume changes}},
  url          = {{http://dx.doi.org/10.2166/wst.2024.086}},
  doi          = {{10.2166/wst.2024.086}},
  volume       = {{89}},
  year         = {{2024}},
}