TimonWeitkamp/training-data-size-and-composition

Effects of training data size and composition on the classification of irrigated agriculture in Sub-Saharan Africa through remote sensing using four algorithms. # training-data-size-and-composition Effects of training data size and composition on the classification of irrigated agriculture in Sub-Saharan Africa through remote sensing using four algorithms. Python scripts are used in Digital Earth Africa sandbox (sandbox.digitalearth.africa) to create the raster data. R script is used for classification. Visualisation scripts are not shared, mostly done through ggplot2.