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

, , , and . Remote Sensing, 9 (12): 1270 (2017)

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On the utility of SeaWinds/QuikSCAT data for the estimation of the thermodynamic state of first-year sea ice., , , , and . IEEE Trans. Geoscience and Remote Sensing, 43 (6): 1338-1350 (2005)Correction: Assessment of the High Resolution SAR Mode of the RADARSAT Constellation Mission for First Year Ice and Multiyear Ice Characterization. Remote Sensing 2018, 10, 594., , and . Remote Sensing, 10 (10): 1616 (2018)Improving Sea Ice Characterization in Dry Ice Winter Conditions Using Polarimetric Parameters from C- and L-Band SAR Data., , , and . Remote Sensing, 9 (12): 1270 (2017)Fusing AMSR-E and QuikSCAT Imagery for Improved Sea Ice Recognition., , and . IEEE Trans. Geoscience and Remote Sensing, 47 (7-1): 1980-1989 (2009)Snow Thickness Estimation on First-Year Sea Ice from Late Winter Spaceborne Scatterometer Backscatter Variance., , , , , , and . Remote Sensing, 11 (4): 417 (2019)Assessment of Simulated Compact Polarimetry of the High Resolution Radarsat Constellation Mission SAR Mode for Multiyear and First Year Sea Ice Characterization., , and . IGARSS, page 2420-2423. IEEE, (2018)Semi-Automated Classification of Lake Ice Cover Using Dual Polarization RADARSAT-2 Imagery., , , , and . Remote Sensing, 10 (11): 1727 (2018)Sensitivity of AMSR-E Brightness Temperatures to the Seasonal Evolution of Lake Ice Thickness., , , , and . IEEE Geosci. Remote. Sens. Lett., 7 (4): 751-755 (2010)Linking Regional Winter Sea Ice Thickness and Surface Roughness to Spring Melt Pond Fraction on Landfast Arctic Sea Ice., , , and . Remote Sensing, 10 (1): 37 (2018)Surface-Based Polarimetric C-Band Scatterometer for Field Measurements of Sea Ice., , , , and . IEEE Trans. Geoscience and Remote Sensing, 45 (11-1): 3405-3416 (2007)