Sensitivity analysis of a decision tree classification to input data errors using a general Monte Carlo error sensitivity model

Abstract

We analysed the sensitivity of a decision tree derived forest type mapping to simulated data errors in input digital elevation model (DEM), geology and remotely sensed (Landsat Thematic Mapper) variables. We used a stochastic Monte Carlo simulation model Show more