A landslide dataset for Pingjiang County, Hunan Province

Landslides pose significant geological hazards in Pingjiang County, and understanding their susceptibility is crucial for effective disaster prevention and mitigation. However, detailed datasets capturing the multi-factorial drivers of landslide susceptibility in this region remain underdocumented. Here, we present a sample dataset of landslide susceptibility in Pingjiang County, comprising more than 400000 samples with multiple relevant variables. The dataset includes topographic factors (Elevation, Slope, Aspect, Plan curvature), proximity metrics (Distance to faults [Dis_fault], Distance to roads [Dis_road]), vegetation index (NDVI [Normalized Difference Vegetation Index]), lithological information (Lithology), and a potential soil/geomorphic index (SPI). This dataset is designed to facilitate analyses of how various environmental and topographic factors collectively influence landslide susceptibility. It can support investigations into the relative importance of individual variables..., , # A landslide dataset for Pingjiang County, Hunan Province

Dataset DOI: [10.5061/dryad.905qfttzb](10.5061/dryad.905qfttzb)

## Description of the data and file structure

This dataset contains more than 400000 samples of landslide susceptibility-related variables collected from Pingjiang County, designed to support analyses of environmental and geological factors influencing landslide occurrence. Each sample is uniquely identified by `OBJECTID` and includes 9 quantitative variables capturing topographic, geological, vegetation, and proximity characteristics.
### Files and variables

#### Variables

A comprehensive list of variables, including definitions, units, abbreviations, and notes on missing values, is provided below:

| Variable Name | Abbreviation (if applicable) | Definition | Units of ...,

滑坡是平江县面临的重大地质灾害，明晰其易发性对于开展高效的防灾减灾工作至关重要。然而，当前针对该区域滑坡易发性多因子驱动机制的精细化数据集仍较为匮乏。本研究公开一套平江县滑坡易发性样本数据集，共包含超40万个样本及多组关联变量。该数据集涵盖地形因子（海拔（Elevation）、坡度（Slope）、坡向（Aspect）、平面曲率（Plan curvature））、邻近性指标（距断层距离（Distance to faults，缩写Dis_fault）、距道路距离（Distance to roads，缩写Dis_road））、植被指数（归一化差分植被指数（Normalized Difference Vegetation Index，简称NDVI））、岩性信息（Lithology）以及潜在土壤/地貌指数（SPI）。本数据集旨在助力解析各类环境与地形因子如何共同作用影响滑坡易发性，可用于探究单个变量的相对重要性……
# 湖南省平江县滑坡数据集
数据集DOI：[10.5061/dryad.905qfttzb](10.5061/dryad.905qfttzb)

## 数据与文件结构说明
本数据集采集自平江县，共包含超40万个与滑坡易发性相关的变量样本，旨在支撑滑坡发生影响因素的环境与地质因子分析。每个样本均通过`OBJECTID`进行唯一标识，共包含9个定量变量，涵盖地形、地质、植被及邻近性特征。
### 文件与变量
#### 变量列表
以下为完整的变量列表，包含变量定义、单位、缩写及缺失值说明：
| 变量名称 | 适用缩写 | 定义 | 单位……