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 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/

本数据集基于地貌与土地信息系统，通过同化NASA SMAP卫星观测数据与NOAH 3.6陆面模型估算结果，生成了肯塔基州东部已知滑坡区域的土壤湿度估算值。此外，数据集还包含长短时记忆循环神经网络（Long Short-Term Memory Recurrent Neural Network）、逻辑回归机器学习代码以及应用程序编程接口（Application Programming Interface, API）代码。最后，附带肯塔基州东部的原位实测数据。

NASA土地信息系统（Land Information System, LIS）：https://github.com/NASA-LIS/LISF

NASA SMAP三级增强型土壤湿度数据通过国家冰雪数据中心（National Snow and Ice Data Center, NSIDC）数据获取工具获取：https://nsidc.org/data/data-access-tool/SPL3SMP_E/versions/5

土壤地貌数据通过美国农业部自然资源保护服务局（USDA Natural Resources Conservation Service, NRCS）的Web土壤调查（Web Soil Survey, WSS）获取：https://websoilsurvey.nrcs.usda.gov/app/