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

Author:

Li Haotian12,Chen Jun12,Cao Liguo13,Liu Wei12,Duan Zheng4

Affiliation:

1. a Engineering Research Center of Building Energy Efficiency Control and Evaluation, Ministry of Education, Hefei, China

2. b School of Environmental and Energy Engineering, Anhui Jianzhu University, Hefei, China

3. c School of Geography and Tourism, Shanxi Normal University, Xi'an 710119, China

4. d Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden

Abstract

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.

Funder

National Natural Science Foundation of China

University Natural Sciences Research Project of Anhui Educational committee

Joint China–Sweden Mobility Grant funded by NSFC and STINT

Publisher

IWA Publishing

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