Articles | Volume 17, issue 12
https://doi.org/10.5194/tc-17-5299-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-5299-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Dec 2023
Research article |
| 14 Dec 2023
| 14 Dec 2023
Co-registration and residual correction of digital elevation models: a comparative study
Tao Li
State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, 430077, China
College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing 100049, China
Yuanlin Hu
State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, 430077, China
School of Geography and Information Engineering, China University of Geosciences, Wuhan, Hubei, 430074, China
Bin Liu
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Liming Jiang
State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, 430077, China
College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing 100049, China
Hansheng Wang
State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, 430077, China
Xiang Shen
CORRESPONDING AUTHOR
State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, 430077, China
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-304, https://doi.org/10.5194/essd-2025-304, 2025
Preprint under review for ESSD
Short summary
Short summary
To support generalized automated monitoring and modeling of Greenland’s outlet glaciers, this study presents a benchmark dataset of over 12,000 manually delineated calving front positions from 2002 to 2021. With high spatial accuracy and wide coverage, it enables evaluation of automated detection methods, improves model boundary conditions, and supports long-term studies of glacier change and sea-level rise.
K. Di, Z. Liu, W. Wan, S. Gou, T. Yu, J. Wang, L. Li, C. Liu, B. Liu, M. Peng, Y. Wang, Z. Yue, X. He, and S. Liu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1053–1058, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1053-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1053-2022, 2022
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Short summary
Raw DEMs are often misaligned with each other due to georeferencing errors, and a co-registration process is required before DEM differencing. We present a comparative analysis of the two classical DEM co-registration and three residual correction algorithms. The experimental results show that rotation and scale biases should be considered in DEM co-registration. The new non-parametric regression technique can eliminate the complex systematic errors, which existed in the co-registration results.
Raw DEMs are often misaligned with each other due to georeferencing errors, and a...
