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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume X-3/W1-2022
https://doi.org/10.5194/isprs-annals-X-3-W1-2022-199-2022
© Author(s) 2022. 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-3-W1-2022-199-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
27 Oct 2022
| 27 Oct 2022
RISK ASSESSMENT OF HIGH VOLTAGE POWER LINES CROSSING FOREST AREAS – A CASE STUDY OF WILDFIRES
R. Zhang
Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing 100048, China
R. Zhong
Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing 100048, China
Y. Pang
School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
Key Lab of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing, 210023, China
B. Yang
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Engineering Research Center of Space-Time Data Capturing and Smart Application, The Ministry of Education, Wuhan 430079, China
H. Shu
Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing 100048, 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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