3D-LAKES: Three-Dimensional Global Lake and Reservoir Bathymetry from ICESat-2 Altimetry and Landsat Imagery

Quantification of the water storage dynamics in global lakes and reservoirs is pivotal for understanding the roles of surface water in regional climatology, mitigating natural disasters, and preserving ecosystems. However, the ability to accurately comprehend these storage dynamics is significantly hindered by the lack of reliable and cost-effective global bathymetry information. This study introduces the 3D-LAKES dataset, which contains the area-elevation (A-E) relationship and three-dimensional (3D) bathymetry information for 510,530 global lakes and reservoirs, representing 98.9% of global surface water storage capacity. This dataset was validated using 214 A-E relationships and 12 bathymetry maps collected from in-situ measurements, showing strong agreement. The A-E relationships yield an RMSE of 0.60 m, a NRMSE of 0.14, and an R<sup>2</sup> of 0.61; while the 3D bathymetry maps have an RMSE of 1.37 m and a NRMSE of 0.26. This dataset has the potential to support many applications, from monitoring lake/reservoir storage variations to parameterizing hydraulic/hydrological models. Such integration provides essential information for global hydrological studies, water management programs, and disaster mitigation.

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Publication Details

Journal
Scientific Data
Published
2025-10-08
DOI
https://doi.org/10.1038/s41597-025-05911-y
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

3D-LAKES: Three-Dimensional Global Lake and Reservoir Bathymetry from ICESat-2 Altimetry and Landsat Imagery

Huilin Gao, Deep Shah, Anshul Yadav, C. Huang et al.
Scientific Data
Remote Sensing and LiDAR Applications
article

3D-LAKES: Three-Dimensional Global Lake and Reservoir Bathymetry from ICESat-2 Altimetry and Landsat Imagery

Huilin Gao, Deep Shah, Anshul Yadav, C. Huang, Gang Zhao, Shuai Zhang, Yao Li
article en

Abstract

Quantification of the water storage dynamics in global lakes and reservoirs is pivotal for understanding the roles of surface water in regional climatology, mitigating natural disasters, and preserving ecosystems. However, the ability to accurately comprehend these storage dynamics is significantly hindered by the lack of reliable and cost-effective global bathymetry information. This study introduces the 3D-LAKES dataset, which contains the area-elevation (A-E) relationship and three-dimensional (3D) bathymetry information for 510,530 global lakes and reservoirs, representing 98.9% of global surface water storage capacity. This dataset was validated using 214 A-E relationships and 12 bathymetry maps collected from in-situ measurements, showing strong agreement. The A-E relationships yield an RMSE of 0.60 m, a NRMSE of 0.14, and an R<sup>2</sup> of 0.61; while the 3D bathymetry maps have an RMSE of 1.37 m and a NRMSE of 0.26. This dataset has the potential to support many applications, from monitoring lake/reservoir storage variations to parameterizing hydraulic/hydrological models. Such integration provides essential information for global hydrological studies, water management programs, and disaster mitigation.

Scientific DataVol. 12(1)
Southwest University (CN), Carnegie Institution for Science (US), Chinese Academy of Sciences (CN), Institute of Geographic Sciences and Natural Resources Research (CN), Texas A&M University (US)
National Aeronautics and Space Administration, Texas AgriLife Research, Nuclear Safety and Security Commission
Openalex Percentile: Top 74%
Remote Sensing and LiDAR Applications
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