Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission

Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission

Several methods have been developed to provide polar maps of sea ice thickness (SIT) from L-band brightness temperature (T<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mi>...

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Bibliographic Details
Main Authors: Christoph Herbert, Joan Francesc Munoz-Martin, David Llaveria, Miriam Pablos, Adriano Camps
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
predictive regression neural networks
sea ice thickness
microwave radiometry
CubeSats
Online Access:https://www.mdpi.com/2072-4292/13/7/1366

Internet

https://www.mdpi.com/2072-4292/13/7/1366

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