In order to evaluate the applicability of 3D scanners for field survey on surface ruptures, we examined the scanning accuracy, point cloud density, usability, and time efficiency of the instruments of three different SLAM methods, Avia for LiDAR SLAM, ZED 2 for Visual SLAM, and iPad Pro for Depth SLAM
We conducted experimental surveys on the surface ruptures associated with the 2016 Kumamoto Earthquake at two locations. One is the surface rupture preserved as the earthquake heritage in the Aso field of Tokai University, while another is a normal fault rupture in the forested area at Miyayama, Nishihara Village, Kumamoto Prefecture. All the scanners obtained detailed point clouds, from which we successfully made digital surface models, cross-profiles and contour maps in a few tens of minutes. We came to know that Avia is most effective among the three scanners for wide-area mapping and that iPad Pro is a useful handy instrument for mapping limited areas. From our experimental survey, it is highly recommended to use Avia and iPad Pro together (in the field) in order to collect detailed geometric data of surface ruptures immediately after earthquake.