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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)Quantifying the Relative Importance of Variables and Groups of Variables in Remote Sensing Classifiers Using Shapley Values and Game Theory., and . IEEE Geosci. Remote. Sens. Lett., 17 (1): 42-46 (2020)Assessing the Potential to Operationalize Shoreline Sensitivity Mapping: Classifying Multiple Wide Fine Quadrature Polarized RADARSAT-2 and Landsat 5 Scenes with a Single Random Forest Model., , , , , and . Remote Sensing, 7 (10): 13528-13563 (2015)Remote Sensing of Boreal Wetlands 1: Data Use for Policy and Management., , , , , , , , , and 2 other author(s). Remote. Sens., 12 (8): 1320 (2020)Using Growing-Season Time Series Coherence for Improved Peatland Mapping: Comparing the Contributions of Sentinel-1 and RADARSAT-2 Coherence in Full and Partial Time Series., , , , , and . Remote. Sens., 12 (15): 2465 (2020)Soil Moisture Monitoring in a Temperate Peatland Using Multi-Sensor Remote Sensing and Linear Mixed Effects., , , and . Remote. Sens., 10 (6): 903 (2018)SatViT: Pretraining Transformers for Earth Observation., , and . IEEE Geosci. Remote. Sens. Lett., (2022)On the Importance of Training Data Sample Selection in Random Forest Image Classification: A Case Study in Peatland Ecosystem Mapping., and . Remote. Sens., 7 (7): 8489-8515 (2015)Transfer Learning with Pretrained Remote Sensing Transformers., , and . CoRR, (2022)CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders., , and . CoRR, (2023)