Retrieval of daily sea ice thickness from AMSR2 passive microwave data using ensemble convolutional neural networks

Retrieval of daily sea ice thickness from AMSR2 passive microwave data using ensemble convolutional neural networks

Recently, measurement of sea ice thickness (SIT) has received increasing attention due to the importance of thinning ice in the context of global warming. Although altimeter sensors onboard satellite missions enable continuous SIT measurements over larger areas compared to in situ observations, thes...

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Bibliographic Details
Main Authors: Junhwa Chi, Hyun-Cheol Kim
Format: Article
Language:English
Published: Taylor & Francis Group 2021-08-01
Series:GIScience & Remote Sensing
Subjects:
amsr2
arctic sea ice
convolutional neural network
deep learning
passive microwave
sea ice thickness
Online Access:http://dx.doi.org/10.1080/15481603.2021.1943213

Internet

http://dx.doi.org/10.1080/15481603.2021.1943213

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