Soil Moisture and Geomorphologic Data for Use in Dynamic and Forecastable Landslide Hazard Analyses in Eastern Kentucky ...

• Main Authors: Bryson, Lindsey Sebastian, Francis, Daniel
• Format: Dataset
• Language: unknown
• Published: University of Kentucky Libraries 2023
• Subjects: FOS Civil engineering; National Snow and Ice Data Center
• Online Access: https://dx.doi.org/10.13023/ce7.2023.dat; https://uknowledge.uky.edu/ce_data/4/

These data are the geomorphologic and land information system-based soil moisture estimates from assimilation of NASA SMAP satellite-based observations and NOAH 3.6 Land Surface Model estimates over known landslides in Eastern Kentucky. Additionally Long Short-Term Memory Recurrent Neural Network and logistic regression machine learning codes, as well as an Application programming interface code are included. Finally, in-situ data from Eastern Kentucky is included. 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/ ...