Supplementary GIS data - Potential and implications of automated pre-processing of LiDAR-based digital elevation models for large-scale archaeological landscape analysis

A supplementary dataset related to the paper discussing preparation of a digital elevation model derived from DMR 5G (LiDAR-based DEM of the Czech Republic) cleaned of modern artificial features. It includes data used as a clipping mask and data produced during the testing phase.

Contents:

..\clipping_buffers.gdb\ - Clipping buffers based on ZABAGED dataset used for masking the original data stored as ESRI geodatabase.

..\drainages\ - Drainages with Strahler order higher than four (potential watercourses) for the original and filtered DEMs.

drainages_filtered - Drainges identified in the filtered DEM stored as GeoTIFF.

drainages_original - Drainges identified in the original DEM stored as GeoTIFF. 

..\LSC\ - Locations with significant land surface curvature for the original and filtered DEMs.

LSC_filtered - Significant LSC identified in the filtered DEM stored as GeoTIFF. 

LSC_original - Significant LSC identified in the original DEM stored as GeoTIFF. 

..\visibility\ - Viewsheds computed over the original and filtered DEMs.

Libice\ - Sample viewsheds computed for the early medieval hillfort of Libice.

Libice_visibility_filtered - Viewshed based on the filtered DEM stored as GeoTIFF. 

Libice_visibility_original - Viewshed based on the original DEM stored as GeoTIFF. 

observer_points - Observer points used for calculating the viewsheds.

regular_grid\ - Cumulative viewsheds calculated for regularly spaced points in a 10 x 10 km grid with a visibility radius of 5 km and an observer height of 2 m; a total of 574 viewsheds.

visibility_filtered - Cumulative viewshed for the filtered DEM stored as GeoTIFF.

visibility_original - Cumulative viewshed for the original DEM stored as GeoTIFF. 

visibility_test_buffers - Buffers used for the viewshed calculations stored as ESRI shapefile.

visibility_test_observers - Observer points used for the viewshed calculations stored as ESRI shapefile.

Preprint version of the related paper:

Novák, David and Pružinec, Filip, Potential and Implications of Automated Pre-Processing of Lidar-Based Digital Elevation Models for Large-Scale Archaeological Landscape Analysis. Available at SSRN: https://ssrn.com/abstract=4063514