T47 Advances in Digital Field Methods for Geologic Research, Mapping, and Education II

Tuesday, 27 October 2020
10:00 AM - 12:00 PM
Meeting Rooms


USING PHOTOGRAMMETRY TO QUANTIFY SURFACE ROUGHNESS OF PRE-HISTORIC BOULDERS: IMPLICATIONS FOR RELATIVE AGE DATING

Paper number: T47-2
Program: Technical Sessions
Time: 10:05 AM – 10:15 AM


Authors


Abstract

This study tested whether boulder surface roughness could be used to determine the exposure age of prehistoric rockfall surfaces. Rockfall surface roughness was quantified through photogrammetry and ArcMap analysis of digital elevation models of prehistoric boulders at Mount Rapaki (TePoho o Tamatea) in Christchurch, New Zealand. In total nineteen (19) rockfall boulder (volcanic breccia) surfaces were analysed using two scale-independent metrics (area ratio, slope gradient) and four scale-dependent metrics (standard deviation of slope, standard deviation of elevation, standard deviation of curvature, and standard deviation of residual topography). Overall, the metrics confirmed a positive correlation between rockfall surface roughness and increasing exposure age, although the scatter in data is significant (correlation coefficients range from 0.31-0.87). Each metric shows an upward trend and in general, is best fit using a logarithmic or 2nd order polynomial trendline. Standard deviation of curvature and standard deviation of residual topography performed best and several of the metrics indicate a slowing in roughness increase over time (after ~20-25 ka of exposure). Several challenges and limitations were encountered in quantifying boulder surface roughness, including: (1) determining the ideal ‘moving window’ size for analysis; (2) defining the optimal number of photos for surface resolution; and (3) the influence of textural heterogeneities in the volcanic rock. The use of photogrammetry and ArcMap analysis of digital elevation models representing surface roughness is an important first step in developing a time-efficient and cost-effective method for determining the exposure age of prehistoric rockfalls and, where appropriate, timing of causative prehistoric shaking events.

Geological Society of America Abstracts with Programs. Vol. 52, No. 6

doi: 10.1130/abs/2020AM-354858

© Copyright 2020 The Geological Society of America (GSA), all rights reserved. Permission is hereby granted to the author(s) of this abstract to reproduce and distribute it freely, for noncommercial purposes. Permission is hereby granted to any individual scientist to download a single copy of this electronic file and reproduce up to 20 paper copies for noncommercial purposes advancing science and education, including classroom use, providing all reproductions include the complete content shown here, including the author information. All other forms of reproduction and/or transmittal are prohibited without written permission from GSA Copyright Permissions.