Researcher ORCID Identifier
https://orcid.org/0000-0003-2350-2241
https://orcid.org/0009-0006-8610-5605
Files
Dataset Creation Date
2024
Release Date
Fall 8-21-2025
Publisher
University of Kentucky Libraries
Description
Landslide hazards pose a persistent threat to communities and infrastructure in Eastern Kentucky, where steep slopes, shallow colluvial soils, and variable hydrological conditions drive frequent slope failures. This work advances landslide hazard mapping (LHM) through the development of dynamic, spatiotemporal models for shallow colluvial landslides. Two studies refine the use of a limit equilibrium framework to enhance predictive capability. The first study establishes a novel LHM workflow that integrates Hydrus-1D simulations of soil moisture dynamics, driven by precipitation and evapotranspiration data, into slope stability analysis. Factor of Safety (FS) parameters are applied to statistics-based landslide susceptibility maps (LSM), producing accurate, predictive hazard maps validated against documented landslides in Pike and Breathitt Counties. This approach demonstrates the feasibility of generating robust LHMs using publicly accessible datasets. The second study extends this workflow by improving slope stability assessments through refinement of the depth-to-bedrock parameter and incorporation of soil root cohesion into FS calculations. By automating data extraction and map generation in a Python environment, this study enables efficient, near-real-time forecast capabilities, including 72-hour landslide hazard predictions. Results underscore the critical role of vegetation and root cohesion in slope stability while highlighting the potential for proactive hazard mitigation. Together, these studies establish a comprehensive, adaptable methodology that leverages both physical process modeling and machine learning, providing a pathway toward accurate, operational landslide hazard forecasting in data-limited regions.
Digital Object Identifier (DOI)
https://doi.org/10.13023/cedata8.25
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 files.
File Format
Landslide Mapping Readme file: Text document (.txt)
Landslide Susceptibility Readme file: Text document (.txt)
Microsoft Excel file (.xlsx)
VWC and Rainfall Spreadsheets: zip format
LSM and LHM Data Files: zip format
Breathitt County Rasters.gdb: .zip format
Python code: Jupyter notebook (.ipynb)
File Size
Landslide Mapping Readme file: 3.95 KB
Landslide Susceptibility Readme file: 7.26 KB
VWC and Rainfall Spreadsheets: 806 KB
LSM and LHM Data Files: 27.2 MB
Breathitt County Rasters.gdb: 16.5 MB
LHM Automation Continuous: 130 KB
Spatial Coverage
Pike County, Kentucky
Breathitt County, Kentucky
Temporal Coverage
2013 to 2023
Language
English
Related Content
O'Leary, Nathaniel, "Visualizing and Automating Past and Real-Time Dynamic Hazard Maps for Shallow Colluvial Landslides in Eastern Kentucky" (2024). Theses and Dissertations--Earth and Environmental Sciences. 110. https://doi.org/10.13023/etd.2024.430
Francis, D.M., and Bryson, L.S. (2025). “Rainfall-Induced Landslide Hazard Analyses using Spatiotemporal Retrievals of Soil Moisture and Geomorphologic Data,” Environmental Earth Sciences, Springer, 84(8), 201. https://doi.org/10.1007/s12665-025-12209-0.
Francis, D.M.., and Bryson, L.S. (2025). “Coupled Landslide Analyses Through Dynamic Susceptibility and Forecastable Hazard Analysis,” Natural Hazards Journal, Springer, 121(3), 2971–2999. https://doi.org/10.1007/s11069-024-06908-3.
Recommended Citation
Bryson, L.S. and O'Leary, N., 2025. Real-Time Dynamic Hazard Maps for Shallow Colluvial Landslides in Eastern Kentucky: UKnowledge Civil Engineering Research Data, https://doi.org/10.13023/cedata8.25.
