Sea Ice Thickness Retrieval Based on GOCI Remote Sensing Data: A Case Study

Sea Ice Thickness Retrieval Based on GOCI Remote Sensing Data: A Case Study

The accurate monitoring and measurement of sea ice thickness (SIT) is crucial for understanding climate change and preventing economic losses caused by sea ice disasters near coastal regions. In this study, a new method is developed to retrieve the SIT in Liaodong Bay (LDB) based on the Rayleigh-cor...

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Bibliographic Details
Main Authors: Fengguan Gu, Rui Zhang, Xiangshan Tian-Kunze, Bo Han, Lei Zhu, Tingwei Cui, Qinghua Yang
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Remote Sensing
Subjects:
sea ice thickness
inversion accuracy
Liaodong Bay
GOCI
remote sensing retrieval
Online Access:https://www.mdpi.com/2072-4292/13/5/936

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