Automatic Extraction of the Calving Front of Pine Island Glacier Based on Neural Network
Calving front location plays a crucial role in studying iceāocean interaction, mapping glacier area change, and constraining ice dynamic models. However, relying solely on visual interpretation to extract annual changes in the calving front of ice shelves is a time-consuming process. In this study,...
Published in: | Remote Sensing |
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Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
MDPI AG
2023
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Subjects: | |
Online Access: | https://doi.org/10.3390/rs15215168 https://doaj.org/article/e34b273e1ac24a04b76546b646d3aa19 |