Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection

Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection

Satellite altimeters have been used to monitor Arctic sea ice thickness since the early 2000s. In order to estimate sea ice thickness from satellite altimeter data, leads (i.e., cracks between ice floes) should first be identified for the calculation of sea ice freeboard. In this study, we proposed...

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Bibliographic Details
Main Authors: Sanggyun Lee, Jungho Im, Jinwoo Kim, Miae Kim, Minso Shin, Hyun-cheol Kim, Lindi J. Quackenbush
Format: Article
Language:English
Published: MDPI AG 2016-08-01
Series:Remote Sensing
Subjects:
CryoSat-2
lead detection
sea ice thickness
machine learning
Online Access:http://www.mdpi.com/2072-4292/8/9/698

Internet

http://www.mdpi.com/2072-4292/8/9/698

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