Researcher ORCID Identifier
Lindsey Sebastian Bryson: https://orcid.org/0000-0003-2350-2241
Daniel M. Francis: https://orcid.org/0009-0001-0598-143X
Files
Download Full Text (1221.6 MB)
Download Fine Resolution Spatial Data and Factors of Safety.xlsx (39.4 MB)
Download Terrain_Slope_in_Degrees.lyr (20 KB)
Download Factor of Safety README.txt (1 KB)
Download Factor of Safety Texture.mxd (579 KB)
Download In-Situ Data.zip (945 KB)
Download Time Series LIS Soil Moisture Data Over July Landslide Points.zip (2.1 MB)
Download Maximum LIS Soil Moisture Data Over July Landslide Points.zip (73 KB)
Download Texture_Data_For_Machine_Learning.gdb.zip (11.7 MB)
Download Site Texture and Mesri Friction Angles at KYTC Boreholes.xlsx (104 KB)
Download Multi-Layer Perceptron for Predicting Friction Angles.ipynb (5 KB)
Download L3SMP_E Data README.txt (772 B)
Download LIS Data README.txt (977 B)
Download LIS Max VWC Data README.txt (1 KB)
Download Factor of Safety README.txt (1 KB)
Download In-Situ Data README.txt (1 KB)
Dataset Creation Date
05/15/2023
Release Date
2023
Publisher
University of Kentucky Libraries
Description
These data are the soil texture, land information system-based soil moisture estimates from assimilation of NASA SMAP satellite-based observations and NOAH 3.6 Land Surface Model estimates, artificial neural network machine learning code, and in-situ soil moisture measurements.
Digital Object Identifier (DOI)
https://doi.org/10.13023/wzxy-w420
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
Factor of Safety README: Text document (.txt)
Factor of Safety Analyses: Microsoft Excel file (.xlsx)
Factor of Safety Texture: .zip format
ArcGIS Slope Angles: Layer File (.lyr)
In-Situ Data README: Text document (.txt)
In-Situ Data: .zip format
L3SMP_E Data README: Text Document (.txt)
Example Directory: .zip format
LIS Max VWC Data README: Text Document (.txt)
LIS Data README: Text Document (.txt)
Maximum LIS Moisture: .zip format
Time Series LIS Moisture: .zip format
Python code: Jupyter notebook (.ipynb)
Site Texture for Machine Learning: Microsoft Excel File (.xlsx)
Texture Data for Machine Learning: .zip format
File Size
Factor of Safety README: 4 KB
Factor of Safety Analyses: 39.4 MB
Factor of Safety Texture: 4 MB
ArcGIS Slope Angles: 20 KB
In-Situ Data README: 4 KB
In-Situ Data: 952 KB
L3SMP_E Data README: 4 KB
Example Directory: 1.17 GB
LIS Max VWC Data README: 4 KB
LIS Data README: 4 KB
Maximum LIS Moisture: 76 KB
Time Series LIS Moisture: 2.08 MB
Python code: 8 KB
Site Texture for Machine Learning: 108 KB
Texture Data for Machine Learning: 11.7 MB
Spatial Coverage
Eastern Kentucky, Kentucky
Temporal Coverage
2022
Language
English
Related Content
NASA Land Information System (LIS): https://github.com/NASA-LIS/LISF
NASA SMAP Level 3 Enhanced soil moisture data were accessed and acquired via the National Snow and Ice Data Center data access tool: https://nsidc.org/data/data-access-tool/SPL3SMP_E/versions/5
Soil Geomorphic Data were accessed via the USDA Natural Resources Conservation Service (NRCS) Web Soil Survey (WSS) https://websoilsurvey.nrcs.usda.gov/app/
Recommended Citation
Francis, D.M. and Bryson, L.S. 2023. Spatiotemporal Retrievals of Soil Moisture and Geomorphologic Data for Landslide Sites in Eastern Kentucky: UKnowledge Civil Engineering Research Data https://doi.org/10.13023/wzxy-w420
Included in
Civil Engineering Commons, Geology Commons, Geomorphology Commons, Geotechnical Engineering Commons, Hydrology Commons
Notes