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Automatic Extraction of the Calving Front of Pine Island Glacier Based on Neural Network

Calving front location plays a crucial role in studying ice–ocean 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,...

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Bibliografische gegevens
Hoofdauteurs: Xiangyu Song, Yang Du, Jiang Guo
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2023-10-01
Reeks:Remote Sensing
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Online toegang:https://www.mdpi.com/2072-4292/15/21/5168
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