Abstract
Mountain glaciers are sensitive to climate change and are thus relevant indicators of regional climate variability. In order to understand the dynamics of glaciers, retrieving glacier surface velocity is valuable in understanding physical processes in glaciers. We apply an image cross-correlation algorithm in the frequency domain to derive glacier velocity on the Yanong glacier between 2013 and 2018. The results indicate that the flow patterns are related to the terrain complexity. Yanong Glacier maximum velocity was 168 m/year at the elevation around 4700 meters. The surface velocity exceeded 100 m/year above the elevation of 4200 m, while above 5000 m the surface velocity fluctuated around 60 m/year along the main stream.
Original language | English |
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Title of host publication | 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 4198-4201 |
Number of pages | 4 |
ISBN (Electronic) | 9781538691540 |
ISBN (Print) | 9781538691557 |
DOIs | |
Publication status | Published - 2019 |
Event | 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan Duration: 28 Jul 2019 → 2 Aug 2019 |
Conference
Conference | 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 |
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Country/Territory | Japan |
City | Yokohama |
Period | 28/07/19 → 2/08/19 |
Keywords
- cross-correlation
- surface velocity
- Yanong glacier