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Seasonal Change in Wetland Coherence as an Aid to Wetland Monitoring., , , , , and . Remote Sensing, 9 (2): 158 (2017)Investigating the Potential Use of RADARSAT-2 and UAS imagery for Monitoring the Restoration of Peatlands., , , , , and . Remote. Sens., 12 (15): 2383 (2020)Wetland Classification with Multi-Angle/Temporal SAR Using Random Forests., , , , , , , and . Remote. Sens., 11 (6): 670 (2019)State of Science Assessment of Remote Sensing of Great Lakes Coastal Wetlands: Responding to an Operational Requirement., , , and . Remote. Sens., 12 (18): 3024 (2020)Comparison of Compact and Fully Polarimetric SAR for Multitemporal Wetland Monitoring., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 12 (5): 1417-1430 (2019)PolSAR imaging of wetlands: New insights into backscatter physics., , , , , , and . IGARSS, page 1171-1174. IEEE, (2014)Moving to the RADARSAT Constellation Mission: Comparing Synthesized Compact Polarimetry and Dual Polarimetry Data with Fully Polarimetric RADARSAT-2 Data for Image Classification of Peatlands., , , , , and . Remote. Sens., 9 (6): 573 (2017)InSAR Monitoring of Arctic Landfast Sea Ice Deformation Using L-Band ALOS-2, C-Band Radarsat-2 and Sentinel-1., , , , , , and . Remote. Sens., 13 (22): 4570 (2021)Dimensionality Reduction in The Presence of Highly Correlated Variables for Random Forests: Wetland Case Study., , , , , , and . IGARSS, page 9839-9842. IEEE, (2019)Polarimetric Decompositions of Temperate Wetlands at C-Band., , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (7): 3585-3594 (2015)