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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume X-4-2024
https://doi.org/10.5194/isprs-annals-X-4-2024-501-2024
© Author(s) 2024. 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-annals-X-4-2024-501-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
18 Oct 2024
| 18 Oct 2024
NeRF-based Localization and Meshing with Wearable Laser Scanning System: A Case Study in Underground Environment
Yizhe Zhang
LIESMARS, Wuhan University, Wuhan, China
Jianping Li
Nanyang Technological University, 50 Nanyang Avenue, Singapore
Xin Zhao
LIESMARS, Wuhan University, Wuhan, China
Youqi Liao
LIESMARS, Wuhan University, Wuhan, China
Zhen Dong
LIESMARS, Wuhan University, Wuhan, China
Bisheng Yang
LIESMARS, Wuhan University, Wuhan, China
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This preprint is open for discussion and under review for The Cryosphere (TC).
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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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