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Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm., , , , , and . Comput. Electron. Agric., (2021)A generalized space-time OBIA classification scheme to map sugarcane areas at regional scale, using Landsat images time-series and the random forest algorithm., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed., , , , , , , , , and 3 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2019)PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments, , , , , , , , and . Remote Sensing of Environment, 112 (6): 3030--3043 (2008)Terrain Slope Effect on Forest Height and Wood Volume Estimation from GEDI Data., , , , , , , , and . Remote. Sens., 13 (11): 2136 (2021)Assessment of GEDI's LiDAR Data for the Estimation of Canopy Heights and Wood Volume of Eucalyptus Plantations in Brazil., , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)A Multirepresentational Fusion of Time Series for Pixelwise Classification., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Testing Different Methods of Forest Height and Aboveground Biomass Estimations From ICESat/GLAS Data in Eucalyptus Plantations in Brazil., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 7 (1): 290-299 (2014)DynACof: A process-based model to study growth, yield and ecosystem services of coffee agroforestry systems., , , , , , , , , and 2 other author(s). Environ. Model. Softw., (2020)Influence of GEDI Acquisition and Processing Parameters on Canopy Height Estimates over Tropical Forests., , , and . Remote. Sens., 14 (24): 6264 (December 2022)