DOI: 10.5281/zenodo.11003155
title: Supporting Data for Martin et al. 2024 in ESPL: "Quantifying landscape change following catastrophic dam failures in Edenville and Sanford, Michigan, USA"

description: Source:

This dataset supports the publication: Martin, H.K., Edmonds, D.A., Yanites, B.J. & Niemi, N.A. (2024) Quantifying landscape change following catastrophic dam failures in Edenville and Sanford, Michigan, USA. Earth Surf. Process. Landforms, Available from: https://doi.org/10.1002/esp.5855. All of the details about how these data were collected and processed are provided in that paper, particularly in the Supporting Information.

Brief Summary:

On May 19, 2020, the Edenville and Sanford dams near Midland, Michigan, USA failed as the result of significant rainfall over the preceding two days. We analyzed the geomorphic impacts of these failures using a pre-failure airborne lidar dataset and three UAV-based lidar surveys collected two weeks ("2020-06"), three months ("2020-08)", and eleven months ("2021-04") post-failure. The pre-failure airborne lidar dataset was merged from two datasets hosted on OpenTopography as part of the USGS 3DEP project. These are linked to in the Supporting Information document for the above manuscript. This upload contains data from the three UAV-based surveys we collected.

Structure/Contents:

The .zip file is structured first by dates, with each folder corresponding to one of our three field campaigns. Within each date folder, there are two folders: one for data collected at Edenville and another for data collected at Sanford. Within each location folder, there are two items.  1. One is a .las file that contains the ground-classified point cloud data. For Edenville, these point clouds are merged from data collected from multiple launch locations. The point cloud file has had corrections applied to it. It corresponds to the output that results from the Supporting Information through the end of section 2.3: Lidar processing. These files can be opened and worked with using most-any software that handles point clouds; users preferring free and open source software could consider using CloudCompare [https://cloudcompare.org/]. 2. The second is a folder containing DEMs, which are raster images derived from the point cloud data in the corresponding location folder. Each pixel contains the elevation of that area in meters above sea level. Two copies are provided: one with the pixel size set to 50 cm by 50 cm, and the other set to 1 m by 1 m. These were created by constructing a triangular lattice between ground-classified points in the point cloud and then sampling the mesh. These maps are provided for convenience for users who prefer to work with raster data over point clouds or would otherwise prefer not to have to rasterize point cloud data themselves. These files can be opened and worked with using any GIS software; users preferring free and open source software could consider using QGIS [https://www.qgis.org/en/site/]. The CRS is NAD83 UTM Zone 16N.

Citation/License: 

Please use our data! We ask that, if you do so and any published work results, you please cite the following manuscript as well as this zenodo dataset:

Martin, H.K., Edmonds, D.A., Yanites, B.J. & Niemi, N.A. (2024) Quantifying landscape change following catastrophic dam failures in Edenville and Sanford, Michigan, USA. Earth Surf. Process. Landforms, Available from: https://doi.org/10.1002/esp.5855.

These data are released under the CCBY-NC-SA 4.0 license [https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en]. 

In plain language, it means that you should feel free to download these data and use or modify them for whatever purpose you wish, as long as you i) attribute us as original authors of the dataset, ii) do not use them for commercial purposes, and iii) use the same license for any derivative works you create using these data. 

 

For any questions or concerns, please don't hesitate to reach out to Harrison Martin at hkm@caltech.edu, or via https://harrison.studies.rocks.