Summary of classification accuracies (%) from five sets of data using HYDICE Washington DC Mall image: set 1 (no MDI), set 2 (with MDIN), set 3 (with MDRLR), set 4 (with MDRRL),...

Summary of classification accuracies (%) from five sets of data using AVIRIS Indian Pines image: set 1 (no MDI), set 2 (with MDIN), set 3 (with MDRLR), set 4 (with MDRRL), and...

Rankings of the 5 object features with maximum importance across classes in the RF model using HYDICE Washington DC Mall image.

Forest system and forest type classes found in the Kinabatangan with flooding periods and extents in hectares (ha) as calculated from the Object-Based Image Analysis...

Description of other spectral indices used as input predictor variables in this study.

The ground-truth classes of the AVIRIS and HYDICE datasets and the training and test sets used for the classes.