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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B2-2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-271-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-271-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
28 Jun 2021
| 28 Jun 2021
EVALUATION OF TUNNEL EXCAVATION COMBINING TERRESTRIAL LASER SCANNING POINT CLOUDS AND DESIGN MODELS
Y. Zhou
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
P. Tong
School of Resource and Environmental Sciences , Wuhan University, Wuhan 430079, China
B. Yang
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
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This preprint is open for discussion and under review for The Cryosphere (TC).
Short summary
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Surface crevasses play an important role in glacier flow, iceberg calving, and meltwater routing, yet their depths remain poorly quantified at catchment or larger scales. We use ICESat-2 laser altimetry to estimate crevasse depths on Sermeq Kujalleq (Jakobshavn Isbræ) in 2019. Over ten thousand crevasses are mapped from along-track detection. Results show deepest crevasses occur ~20 km inland, demonstrating the potential of ICESat-2 for high-resolution crevasse depth mapping.
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