In keltoskytoi/iSEGMound: iSEGMound - A Reproducible Workflow for Mound Detection in LiDAR-derived DTMs

Appendix

In the following the .R scripts of the research compendium are addressed and can be found in the /scripts folder. The are commented scripts with instructions - evident instructions from the point of the view of the author but this view is of course always biased.

R scripts

1_literature_analysis.R

2_LiDAR_data_processing_tile_1.R \newline 3a_LiDAR_data_processing_catalogue.R \newline 3b_LiDAR_data_processing_AOI_catalogues.R \newline

4_data_preparation.R \newline

5a_iSEG05_WS.R \newline 5b_iSEG05_mtpi_WS.R \newline 5c_iSEG05_RG.R \newline 5d_iSEG05_mtpi_RG.R \newline 6a_iSEG05_WS_ta.R \newline 6b_iSEG05_mtpi_WS_ta.R \newline 6c_iSEG05_RG_ta.R \newline 6d_iSEG_mtpi_RG_ta.R

7a_AOI_1.R \newline 7b_AOI_2.R \newline 7c_AOI_3.R \newline 7d_AOI_4.R \newline 7e_AOI_5.R \newline

8_burial_mounds_segments_SHI.R \newline 9_compare_segmentations.R \newline 10_thresold_test.R \newline

11_workflows.R

Functions

plot_crossection: is borrowed from the lidR cookbook \newline create_regions: was found on stackexchange \newline filtR: was transformed function from a biodiversity seminar course

All the other functions are wrapper functions for SAGA tools, available in the RSAGA package: \newline generate_mtpi_SAGA: wrapper around the RSAGA:: ta_morphometry 28 tool \newline fill_sink_SAGA_WL: wrapper around the RSAGA:: ta_preprocessor 4 tool \newline watershed_segmentation_SAGA: wrapper around the RSAGA:: imagery_segm 0 tool \newline generate_seeds_SAGA: wrapper around the RSAGA:: imagery_segm 2 tool \newline seeded_region_growing_SAGA: wrapper around the RSAGA:: imagery_segm 3 tool \newline polygonize_segments_SAGA: wrapper around the RSAGA:: shapes_grid 6 tool \newline compute_shape_index_SAGA: wrapper around the RSAGA:: shapes_polygons 7 tool

keltoskytoi/iSEGMound documentation built on Dec. 21, 2021, 5:24 a.m.