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Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Hybrid Compact Polarimetric SAR for Environmental Monitoring with the RADARSAT Constellation Mission., , and . Remote. Sens., 12 (20): 3283 (2020)3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer., , , , , and . Ecol. Informatics, (2022)Generating A 10 M Resolution Canopy Height Model Of New York State Using Gedi And Sentinel-2 Data., , and . IGARSS, page 3141-3144. IEEE, (2023)Wetland Classification Using Deep Convolutional Neural Network., , , and . IGARSS, page 9249-9252. IEEE, (2018)A Desktop-Based Methodology for Collecting Wetland Reference data over Inaccessible Arctic Landscapes., , , , , , and . IGARSS, page 5893-5896. IEEE, (2022)Machine Learning Methods for Water Quality Monitoring Over Finger Lakes Using Sentinel-2., , and . IGARSS, page 6316-6319. IEEE, (2022)Wetland Mapping by Jointly Use of Convolutional Neural Network and Graph Convolutional Network., , and . IGARSS, page 2219-2222. IEEE, (2022)Meta-Analysis of Wetland Classification Using Remote Sensing: A Systematic Review of a 40-Year Trend in North America., , , , , , , , and . Remote. Sens., 12 (11): 1882 (2020)Mid-season Crop Classification Using Dual-, Compact-, and Full-Polarization in Preparation for the Radarsat Constellation Mission (RCM)., , , , , , and . Remote. Sens., 11 (13): 1582 (2019)