A Novel Approach to Automated Mapping Subweekly Calving Front of Petermann Glacier (2016–2023)—Using Sentinel-2 Satellite Data and Segment Anything Model (SAM)
Monitoring glacier calving fronts is critical for understanding ice dynamics and their response to climate change. However, existing methods of mapping ice calving front face limitations in temporal resolution and positional accuracy, hindering effective characterizations of rapid calving processes....
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11015245/ |
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