![GeoDatabase and Modeling Code Used for Landslide Hazard and Susceptibility Mapping in Eastern and Northern Kentucky](https://uknowledge.uky.edu/ce_data/1001/thumbnail.jpg)
GeoDatabase and Modeling Code Used for Landslide Hazard and Susceptibility Mapping in Eastern and Northern Kentucky
Researcher ORCID Identifier
L. Sebastian Bryson: https://orcid.org/0000-0003-2350-2241
Batmyagmar Dashbold: https://orcid.org/0000-0002-1197-1668
Matthew M. Crawford: https://orcid.org/0000-0002-8674-8532
Files
Download Readme file (7 KB)
Download Readme file supplement (824 B)
Download ArcGIS Database Files (2279.0 MB)
Download Input Data for ArcGIS (Campbell County) (9.1 MB)
Download Input Data for ArcGIS (Kenton County) (328 KB)
Download SMAP Soil Moisture Data (37 KB)
Download Spatial Input Data (31 KB)
Download Python Code for Logistics Regression Model (3.7 MB)
Download SMAP Soil Moisture Data in non-proprietary format (3 KB)
Dataset Creation Date
2021
Release Date
8-18-2021
Publisher
University of Kentucky Libraries
Description
We created a landslide susceptibility map using spatial soil property features extracted from the NRCS WSS that include percent sand, percent silt, percent clay, saturated hydraulic conductivity, available water capacity, one third bar water content, plasticity index, and liquid limit, all of which were used as features in the logistic regression analysis. We also used satellite soil moisture data, and a high-resolution (1.5 m) LiDAR-derived digital elevation map (DEM) which include slope, aspect, curvature, elevation, roughness, and plan curvature. We show that using publicly available data, a multi-temporal landslide hazard map can be created that will produce a close-to-real time landslide susceptibility map. The landslide hazard map derived from the limit equilibrium analysis tells us the evolution of the landslide development temporally and spatially, whereas the landslide susceptibility map derived statistically indicates the locations of possible landslides in the long term.
Digital Object Identifier (DOI)
https://doi.org/10.13023/kbrw-5x87
Rights
This dataset is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided that the dataset creators and source are credited and that changes (if any) are clearly indicated.
Supporting Information
Please see the Readme file.
File Format
Readme file: Text document (.txt)
Readme file supplement: Text document (.txt)
Database files: ESRI ArcGIS geodatabase (.gdb)
Input data (Campbell County): Microsoft Excel file (.csv)
Input data (Kenton County): Microsoft Excel file (.csv)
SMAP soil moisture data: Microsoft Excel file (.xlsx)
Spatial input data: Shapefile file
Python code: Jupyter notebook (.ipynb)
SMAP soil moisture data in non-proprietary format: zip format
File Size
Readme file: 7 KB
Readme file supplement: 824 B
Dataset file: 2.22 GB
Input data (Campbell County): 9.12 MB
Input data (Kenton County): 329 KB
SMAP soil moisture data: 40 KB
Spatial input data: 32 KB
Python code: 1.13 MB
SMAP soil moisture data in non-proprietary format: 4 KB
Spatial Coverage
Campbell County, Kentucky
Kenton County, Kentucky
Johnson County, Kentucky
Pike County, Kentucky
Temporal Coverage
2016 to 2018
Related Content
Dashbold, B., 2021. Landslide Site Assessment and Characterization Using Remote Sensing Techniques, UKnowledge Theses and Dissertations--Civil Engineering, https://doi.org/10.13023/etd.2021.369.
Landslide data pertaining to the location and reported date of the landslide - Kentucky Geological Survey (KGS) Landslide Inventory: https://kgs.uky.edu/kgsmap/helpfiles/landslide_help.shtm
Geomorphic and topological data were derived from the 1.5 m LiDAR digital elevation model (DEM) - Kentucky Elevation Data and Aerial Photography Program: https://kyfromabove.ky.gov
Land cover data - 2016 National Land Cover Database (NLCD) product suite: https://www.mrlc.gov/
Soil property data - Natural Resources Conservation Service (NRCS) Web Soil Survey (WSS): https://websoilsurvey.sc.egov.usda.gov/App/HomePage.htm
NASA Soil Moisture Active Passive (SMAP) Earth satellite mission, satellite soil moisture data were accessed and acquired using the Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) tool: https://lpdaac.usgs.gov/tools/appeears/
Recommended Citation
Bryson, L.S., Dashbold, M., Crawford, M.M., 2021. GeoDatabase and Modeling Code used for Landslide Hazard and Susceptibility Mapping in Eastern and Northern Kentucky: UKnowledge Civil Engineering Research Data, https://doi.org/10.13023/kbrw-5x87.
![GeoDatabase and Modeling Code Used for Landslide Hazard and Susceptibility Mapping in Eastern and Northern Kentucky](https://uknowledge.uky.edu/ce_data/1001/thumbnail.jpg)
Notes
Revised files and an additional file were made available on Sept. 2, 2021. See the Readme file supplement for details.