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A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index., , , , , , , , , and 12 other author(s). Remote. Sens., 13 (7): 1348 (2021)Using Dense Time-Series of C-Band Sar Imagery for Classification of Diverse, Worldwide Agricultural Systems., , , , , , , , , and 8 other author(s). IGARSS, page 6231-6234. IEEE, (2019)Synthetic aperture radar and optical satellite data for estimating the biomass of corn., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)Comparison of Machine Learning Algorithms and Water Cloud Model for Leaf Area Index Estimation Over Corn Fields., , , , and . IGARSS, page 6267-6270. IEEE, (2019)An investigation of inversion methodologies to retrieve the leaf area index of corn from C-band SAR data., , , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)Compact Polarimetry for Agricultural Mapping and Inventory: Preparation for Radarsat Constellation Mission., , , , and . IGARSS, page 5851-5854. IEEE, (2019)Assessment of Multi-Frequency SAR for Crop Type Classification and Mapping., , , , and . IGARSS, page 489-492. IEEE, (2019)Combination of Optical and SAR Sensors for Monitoring Biomass Over Corn Fields., , , , and . IGARSS, page 5952-5955. IEEE, (2018)Impacts of Spatial Partitioning in Hydroecological Models: Predicting Grassland Productivity with RHESSys., , and . Trans. GIS, 9 (3): 421-442 (2005)OpenStreetMap quality assessment using unsupervised machine learning methods., and . Trans. GIS, 24 (5): 1280-1298 (2020)