Articles | Volume 15, issue 10
https://doi.org/10.5194/tc-15-4901-2021
© 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/tc-15-4901-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication
| 
21 Oct 2021
Brief communication |
| 21 Oct 2021
| 21 Oct 2021
Brief communication: Detection of glacier surge activity using cloud computing of Sentinel-1 radar data
Paul Willem Leclercq
CORRESPONDING AUTHOR
Department of Geosciences, Oslo University, Oslo, Norway
Andreas Kääb
Department of Geosciences, Oslo University, Oslo, Norway
Bas Altena
IMAU, Utrecht University, Utrecht, the Netherlands
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Cited
16 citations as recorded by crossref.
- A new inventory of High Mountain Asia surging glaciers derived from multiple elevation datasets since the 1970s L. Guo et al. 10.5194/essd-15-2841-2023
- Spatio-Temporal Evolution of Glacial Lakes in the Tibetan Plateau over the Past 30 Years X. Dou et al. 10.3390/rs15020416
- Design and Implementation of Cloud Computing Network Security Virtual Computing and Defense Technology Y. Cheng & C. Venkatesan 10.1155/2022/7876199
- Landscape evolution and sediment delivery in a High Arctic proglacial lake, Ellesmere Island, Canadian Arctic Archipelago L. Chassiot et al. 10.1002/esp.5811
- Surge-type glaciers in Kalaallit Nunaat (Greenland): distribution, temporal patterns and climatic controls H. Lovell et al. 10.1017/jog.2023.61
- Design of Cloud Computing Platform for Large-Scale Multimedia Communication X. Wu & C. Venkatesan 10.1155/2022/6933942
- Characterization of Three Surges of the Kyagar Glacier, Karakoram Z. Zhang et al. 10.3390/rs15082113
- Anomalous surface elevation, velocity, and area changes of Split Lake Glacier, western Prince of Wales Icefield, Canadian High Arctic W. Van Wychen et al. 10.1139/as-2021-0039
- Global clustering of recent glacier surges from radar backscatter data, 2017–2022 A. Kääb et al. 10.1017/jog.2023.35
- Research on Intelligent Retrieval Method of Teaching Resources on Large-Scale Network Platform X. Su et al. 10.1155/2022/2745773
- Exploiting high-slip flow regimes to improve inference of glacier bed topography A. Morin et al. 10.1017/jog.2022.121
- A Machine Learning Framework to Automate the Classification of Surge‐Type Glaciers in Svalbard C. Bouchayer et al. 10.1029/2022JF006597
- Three different glacier surges at a spot: what satellites observe and what not F. Paul et al. 10.5194/tc-16-2505-2022
- Automated Detection of Glacier Surges from Sentinel-1 Surface Velocity Time Series—An Example from Svalbard M. Koch et al. 10.3390/rs15061545
- Geometric Evolution of the Chongce Glacier during 1970–2020, Detected by Multi-Source Satellite Observations Y. Sun et al. 10.3390/rs13183759
- LabSAR, a one-GCP coregistration tool for SAR–InSAR local analysis in high-mountain regions F. Weissgerber et al. 10.3389/frsen.2022.935137
14 citations as recorded by crossref.
- A new inventory of High Mountain Asia surging glaciers derived from multiple elevation datasets since the 1970s L. Guo et al. 10.5194/essd-15-2841-2023
- Spatio-Temporal Evolution of Glacial Lakes in the Tibetan Plateau over the Past 30 Years X. Dou et al. 10.3390/rs15020416
- Design and Implementation of Cloud Computing Network Security Virtual Computing and Defense Technology Y. Cheng & C. Venkatesan 10.1155/2022/7876199
- Landscape evolution and sediment delivery in a High Arctic proglacial lake, Ellesmere Island, Canadian Arctic Archipelago L. Chassiot et al. 10.1002/esp.5811
- Surge-type glaciers in Kalaallit Nunaat (Greenland): distribution, temporal patterns and climatic controls H. Lovell et al. 10.1017/jog.2023.61
- Design of Cloud Computing Platform for Large-Scale Multimedia Communication X. Wu & C. Venkatesan 10.1155/2022/6933942
- Characterization of Three Surges of the Kyagar Glacier, Karakoram Z. Zhang et al. 10.3390/rs15082113
- Anomalous surface elevation, velocity, and area changes of Split Lake Glacier, western Prince of Wales Icefield, Canadian High Arctic W. Van Wychen et al. 10.1139/as-2021-0039
- Global clustering of recent glacier surges from radar backscatter data, 2017–2022 A. Kääb et al. 10.1017/jog.2023.35
- Research on Intelligent Retrieval Method of Teaching Resources on Large-Scale Network Platform X. Su et al. 10.1155/2022/2745773
- Exploiting high-slip flow regimes to improve inference of glacier bed topography A. Morin et al. 10.1017/jog.2022.121
- A Machine Learning Framework to Automate the Classification of Surge‐Type Glaciers in Svalbard C. Bouchayer et al. 10.1029/2022JF006597
- Three different glacier surges at a spot: what satellites observe and what not F. Paul et al. 10.5194/tc-16-2505-2022
- Automated Detection of Glacier Surges from Sentinel-1 Surface Velocity Time Series—An Example from Svalbard M. Koch et al. 10.3390/rs15061545
2 citations as recorded by crossref.
Latest update: 19 Apr 2024
Short summary
In this study we present a novel method to detect glacier surge activity. Surges are relevant as they disturb the link between glacier change and climate, and studying surges can also increase understanding of glacier flow. We use variations in Sentinel-1 radar backscatter strength, calculated with the use of Google Earth Engine, to detect surge activity. In our case study for the year 2018–2019 we find 69 cases of surging glaciers globally. Many of these were not previously known to be surging.
In this study we present a novel method to detect glacier surge activity. Surges are relevant as...
