27 Applications of Geologic Mapping to Address Geologic Hazards, Natural Resources, and Natural History Studies (Posters)

Monday, 21 March 2016
1:30 PM - 5:30 PM
Convention Hall


LIDAR GROUND SURFACE CLASSIFICATION IN THE MIDDLEBURY RIVER WATERSHED

Paper number: 27-5
Program: Theme Sessions
Time: 1:30 PM – 5:30 PM


Authors


Abstract

The rapidly expanding coverage of high resolution LiDAR-derived topographic datasets enables many new applications in geomorphology and related fields. In the northeastern U.S., LiDAR data allows researchers to see through the forest canopy and visualize the land surface in rich detail. This study aims to develop a semi-automated method to differentiate between ground surface types in northern New England such as bedrock, fluvial/alluvial terraces and glacial till, which appear texturally distinct in high resolution digital elevation models (DEMs). Using a 12km2 study area in the lower Middlebury River watershed in East Middlebury, VT, spatial statistics such as slope, roughness and variability are used to characterize the surface textures. Multiple training and classification methods were run in ArcMap and the resulting class maps were ground-truthed to assess the accuracy of the different statistic combinations and classification techniques in the study area. Standard deviation of residual topography calculated over a 5x5 moving window and residual topography maps have proven most useful for differentiating surfaces types. Although additional study is required to refine our approach, accurate classification of ground surface from LiDAR may ultimately be useful in geologic mapping, sediment budgets, and infrastructure planning.

Geological Society of America Abstracts with Programs. Vol. 48, No. 1

doi: 10.1130/abs/2016NE-272812

© Copyright 2016 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.