- 01_preprocessing.R: filter, clip, merge single scans
- 02_prepare_vegetation.R: convert vegetation data from json to kml, clean data, download images
- 03_raster_calculation_LAScatalog.R: normalize, filter understory, calculate rasters
- 03_raster_calculation_functions.R: functions for normalizing, filtering, raster calculation
- 04_check_collinearity.R: check & remove raster collinearities
- 05_combine_rasters_vegetation.R: filter vegetation plots, clip rasters to vegetation plots
- 06_prepare_cnn_input.R: stack, scale, save raster clips
- 07_setup_cnn.R: setup CNN architecture, set up data input pipeline
- 08_train_cnn.R: load data, train CNNs, hyperparameter optimization
- 08_experiment.R: for running
tfruns& hyperparameter optimization - 09_filter_plot.R: visualization of the understory filtering
- 10_prediction_map.R: visualize prediction results on one area as raster
- 11_prediction_points.R: add prediction results to point cloud & visualize point cloud
- 12_visualization_tables.R: create result visualizations
- 13_test_architecture_cifar10.R: test architecture using CIFAR10 dataset, check for accuracy fluctuations
