Soil Moisture and Geomorphologic Data for Use in Dynamic and Forecastable Landslide Hazard Analyses in Eastern Kentucky ...
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 an...
| Main Authors: | , |
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| Format: | Dataset |
| Language: | unknown |
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University of Kentucky Libraries
2023
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| Online Access: | https://dx.doi.org/10.13023/ce7.2023.dat https://uknowledge.uky.edu/ce_data/4/ |
| Summary: | 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/ ... |
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