Crop classification of upland fields using Random forest of time-series Landsat 7 ETM+ data
Application of Random forest approach for crop classification. The use of EVI obtained from time-series Landsat 7 ETM+ imagery as predictor variables. Effects of number of predictor variables, decision trees and training data on classification accuracy. Random forest as an appropriate method to classify the upland field crops within a homogeneous region.
crop classification upland field random forest landsat 7 etm+ enhanced vegetation index