T354 Drones in Geoscience (Posters)

Wednesday, 25 October 2017
9:00 AM - 6:30 PM
Halls 4EF

CAN DRONES MEASURE LWD?: HIGH RESOLUTION AERIAL IMAGERY AND STRUCTURE FROM MOTION AS A METHOD FOR QUANTIFYING INSTREAM WOOD

Paper number: T354-12
Program: Technical Sessions
Time: 9:00 AM – 6:30 PM

Authors

Abstract

Large wood debris (LWD) plays an important role in shaping geomorphic complexity and aquatic habitat; quantifying LWD in the field has valuable application in river and floodplain management. Advances in Unmanned Aerial Vehicles (UAVs) and Structure from Motion (SfM) software have opened new possibilities to quantify morphologic characteristics of landscapes and river systems more easily, quickly, and accurately than the previous manual survey methods. Our study focused on Clear Creek in the South Fork of the Payette drainage in central Idaho, an area affected by significant blowdown in the wake of the Pioneer Fire in 2016. We used a DJI Phantom 3 Professional to collect imagery along six 200-m reaches. These images were then processed with Agisoft Professional SfM software to create high-density point clouds and meshes to determine volumes of the LWD. These volumes were then compared with manual length and diameter field measurements, estimated with the equation for cylinders. Variables in the point cloud generation process (e.g., number of pictures, accuracy of photo alignment, and density of points and meshes) were altered to determine limitations of the method relative to traditional methods. This method has the potential to enhance estimates of LWD in rivers by improving our ability to represent more complete volumetric data (i.e. the inclusion of root systems and branches into total debris volume) which traditional methods lack.

Geological Society of America Abstracts with Programs. Vol. 49, No. 6

doi: 10.1130/abs/2017AM-308662

© Copyright 2017 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.