High-resolution topographic data (TLS and SfM) of river bluffs in Amity Creek and the Knife River, Minnesota, USA, 2016-2018
2020-01-08
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2016-11-02
2018-05-15
2018-05-15
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High-resolution topographic data (TLS and SfM) of river bluffs in Amity Creek and the Knife River, Minnesota, USA, 2016-2018
Published Date
2020-01-08
Author Contact
Gran, Karen, B
kgran@d.umn.edu
kgran@d.umn.edu
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3D Imaging Data
Field Study Data
3D Imaging Data
Field Study Data
Abstract
Over the past few years, more and more river bluffs on North Shore (Minnesota, USA) streams are being stabilized using a technique wherein a bankfull bench is created adjacent to an eroding bluff using a combination of toe wood, rock, and soil lifts. One of the goals of this technique is to reduce the amount of fine sediment entering the river from bluff erosion, both by removing river access to the toe of the bluff and by providing a bench for eroding sediment to deposit on. In order to determine how much erosion and deposition were occurring on these bluffs, we monitored six river bluffs on the Knife River and Amity Creek from 2016-2018. We report data on four bluffs in Amity Creek and two in the Knife River: 4 bluffs that were stabilized in the 2014 and 2015 using a bankfull bench design and 2 additional bluffs that have not had work done on them for comparison. Each bluff was surveyed 2-3 times each between 2016 and 2018 using a Faro Focus 3D terrestrial laser scanner (TLS), and all four stabilized bluffs were surveyed once via photogrammetry from a DJI Phantom 4 UAV (uncrewed aerial vehicle). The photogrammetry data were turned into high-resolution topographic data using Structure-from-Motion (SfM) processing. Repeat data at each site were compared using Geomorphic Change Detection to calculate volumes of change. In addition, SfM and TLS data collected simultaneously are compared to test the efficacy of using photogrammetry data to monitor bluff erosion.
Description
Six bluffs were surveyed 2-3 times each between 2016 and 2018 using a Faro Focus 3D terrestrial laser scanner (TLS) and four bluffs were surveyed once via photogrammetry from a DJI Phantom 4 UAV (uncrewed aerial vehicle). The photogrammetry data were turned into high-resolution topographic data using Structure-from-Motion (SfM) processing. Included in this data file are SfM surveys as point cloud and DEM data; TLS surveys as point cloud and DEM data; and ArcGIS project files with geomorphic change detection data. These include volumetric change over time using TLS data from 2016-2018 and comparisons of DEMs generated from TLS and SfM data collected on the same date at each site. More detail can be found in the metadata_readme file.
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Kelly, Sara, A; Brown, Elizabeth; Gran, Karen, B. (2020). High-resolution topographic data (TLS and SfM) of river bluffs in Amity Creek and the Knife River, Minnesota, USA, 2016-2018. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/ddhz-dq50.
View/Download file
File View/Open | Description | Size |
---|---|---|
Metadata_README.pdf | Description of data (README) | 150.32 KB |
SfM_DEMs.zip | Structure-from-Motion DEM Data (16 tifs) | 51.5 MB |
SfM_GCD.zip | Structure-from-Motion Geomorphic Change Detection data | 30.4 MB |
TLS_DEMs.zip | Terrestrial Laser Scanner DEM Data (32 tifs) | 12.63 MB |
TLS_GCD.zip | Terrestrial Laser Scanner Geomorphic Change Detection data | 26.38 MB |
SfM_PC_SP17_Amity_H.zip | SfM Point Cloud Data Amity_H site | 1.57 GB |
SfM_PC_SP17_Amity_SW.zip | SfM Point Cloud Data Amity_SW site | 1.89 GB |
SfM_PC_SP17_Knife_JL.zip | SfM Point Cloud Knife_JL site | 727.14 MB |
SfM_PC_SP18_Knife_BD.zip | SfM Point Cloud Data Knife_BD site | 2.32 GB |
TLS_PC_Amity_BW.zip | TLS Point Cloud Data Amity_BW site (3 dates) | 914.28 MB |
TLS_PC_Amity_H.zip | TLS Point Cloud Data Amity_H site (3 dates) | 1.36 GB |
TLS_PC_Amity_SW.zip | TLS Point Cloud Data Amity_SW data (3 dates) | 3.35 GB |
TLS_PC_Amity_CT.zip | TLS Point Cloud Data Amity_CT site (2 dates) | 203.77 MB |
TLS_PC_Knife_BD.zip | TLS Point Cloud Data Knife_BD site (2 dates) | 5.32 GB |
TLS_PC_Knife_JL.zip | TLS Point Cloud Data Knife_JL site (3 dates) | 5.05 GB |
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