Improving Sea Ice Characterization in Dry Ice Winter Conditions Using Polarimetric Parameters from C- and L-Band SAR Data

Improving Sea Ice Characterization in Dry Ice Winter Conditions Using Polarimetric Parameters from C- and L-Band SAR Data

Sea ice monitoring and classification is one of the main applications of Synthetic Aperture Radar (SAR) remote sensing. C-band SAR imagery is regarded as an optimal choice for sea ice applications; however, other SAR frequencies has not been extensively assessed. In this study, we evaluate the poten...

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Bibliographic Details
Main Authors: Mohammed Dabboor, Benoit Montpetit, Stephen Howell, Christian Haas
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Remote Sensing
Subjects:
L-band SAR
sea ice
polarimetric parameters
classification
Online Access:https://www.mdpi.com/2072-4292/9/12/1270

Internet

https://www.mdpi.com/2072-4292/9/12/1270

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