Articles | Volume 19, issue 12
https://doi.org/10.5194/tc-19-6749-2025
© Author(s) 2025. 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-19-6749-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Dec 2025
Research article |
| 11 Dec 2025
| 11 Dec 2025
Building multi-satellite DEM time series for insight into mélange inside large rifts in Antarctica
Menglian Xia
Center for Spatial Information Science and Sustainable Development Applications, Tongji University, 1239 Siping Road, Shanghai, 200092, China
College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, 200092, China
Center for Spatial Information Science and Sustainable Development Applications, Tongji University, 1239 Siping Road, Shanghai, 200092, China
College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, 200092, China
Marco Scaioni
Department of Architecture, Built environment and Construction engineering (ABC), Politecnico di Milano, via Ponzio 31, Milano 20133, Italy
Center for Spatial Information Science and Sustainable Development Applications, Tongji University, 1239 Siping Road, Shanghai, 200092, China
College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, 200092, China
Zhenshi Li
Center for Spatial Information Science and Sustainable Development Applications, Tongji University, 1239 Siping Road, Shanghai, 200092, China
College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, 200092, China
Gang Qiao
Center for Spatial Information Science and Sustainable Development Applications, Tongji University, 1239 Siping Road, Shanghai, 200092, China
College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, 200092, China
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Preprint withdrawn
Short summary
Short summary
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Piera Belotti, Fabio Conzi, Chiara Dell’Orto, Maurizio Federici, Luigi Fregonese, Gabriele Garnero, Emilio Guastamacchia, Franco Guzzetti, Livio Pinto, and Marco Scaioni
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Rongxing Li, Hongwei Li, Tong Hao, Gang Qiao, Haotian Cui, Youquan He, Gang Hai, Huan Xie, Yuan Cheng, and Bofeng Li
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Short summary
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Y. Cao and M. Scaioni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 449–456, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-449-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-449-2021, 2021
M. Previtali, M. Garramone, and M. Scaioni
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H. Cui, R. Li, H. Li, T. Hao, G. Qiao, Y. He, G. Hai, H. Xie, Y. Cheng, and B. Li
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Y. He, G. Qiao, H. Li, X. Yuan, and Y. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 463–468, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-463-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-463-2021, 2021
Y. Li, G. Qiao, and X. Yuan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 485–490, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-485-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-485-2021, 2021
S. Luo, Y. Cheng, Z. Li, Y. Wang, K. Wang, X. Wang, G. Qiao, W. Ye, Y. Li, M. Xia, X. Yuan, Y. Tian, X. Tong, and R. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 491–496, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-491-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-491-2021, 2021
Z. Sun and G. Qiao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 503–508, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-503-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-503-2021, 2021
D. Wang, T. Feng, T. Hao, and R. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 521–526, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-521-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-521-2021, 2021
H. Zhao, R. Xu, and G. Qiao
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Short summary
We propose an innovative multi-satellite DEM adjustment model (MDAM) that removes biases in elevation between sub-DEMs across ice shelves. Our results reveal quantitative 3D structural and mélange features of a ~50 km long rift. For first time, we found that while the mélange elevation decreased from 2014–2021, the mélange inside the rift experienced a rapid expansion, attributing to newly calved shelf ice from rift walls, associated rift widening, and other rift-mélange interaction factors.
We propose an innovative multi-satellite DEM adjustment model (MDAM) that removes biases in...
