Data for: Spatiotemporal Changes and Driving Forces of Ecological Sensitivity in Plateau Mountainous Areas: A Case Study of Liping, Guizhou

The file consists of two parts. The first part contains the raw data used in the study, which is sourced from public domain resources. The data used in the study encompasses multidimensional data types across two major categories: natural environment and socioeconomic factors. Data Usage Instructions: The study obtained Landsat 5 and Landsat 8 OLT_TIR remote sensing imagery, performed radiometric calibration and atmospheric correction, and calculated the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Rock Index (NDRI). DEM data were obtained from the Geospatial Data Cloud (http://www.gscloud.cn) at a spatial resolution of 30 m and were used to extract terrain relief and slope; land use data were derived from the 30-year CLCD land use dataset for China (1990–2021, 30 m resolution) and were used to extract spatiotemporal changes in land use types. Soil data were obtained from the Harmonized World Soil Database (HWSD) Version 1.0, with a spatial resolution of 1 km, to calculate the soil erodibility K-value. Precipitation data were sourced from the National Qinghai-Tibet Plateau Scientific Data Center (1 km) to extract annual average precipitation. Nighttime light data were obtained from the DMSP-OLS Global Nighttime Light dataset on the GEE platform, with a spatial resolution of 1 km, and were used to extract the nighttime illumination index. GDP economic data were sourced from the Scientific Data website, with a spatial resolution of 1 km, and were used to extract per capita GDP. Population density data were sourced from the Earth Resources Data Cloud Platform, with a spatial resolution of 1 km, and were used to extract population density. Road data is sourced from the China Land Surface Transportation Database (1993–2020), with a spatial resolution of 1 km, and is used to extract changes in road network data. Part Two presents the results obtained from the analysis of the raw data, which have already been included in the manuscript.本数据集文件分为两部分。第一部分包含本研究使用的原始数据，数据源自公共领域资源。本研究使用的数据涵盖两大类别下的多维度数据类型：自然环境与社会经济要素。 数据使用说明：本研究获取了Landsat 5与Landsat 8 OLT_TIR遥感影像，完成辐射定标与大气校正，并计算得到归一化植被指数（Normalized Difference Vegetation Index，NDVI）与归一化岩石指数（Normalized Difference Rock Index，NDRI）。数字高程模型（Digital Elevation Model，DEM）数据取自地理空间数据云（http://www.gscloud.cn），空间分辨率为30米，用于提取地形起伏度与坡度；土地利用数据源自中国30年CLCD土地利用数据集（1990–2021，30米分辨率），用于提取土地利用类型的时空变化特征。土壤数据取自世界土壤数据库（Harmonized World Soil Database，HWSD）V1.0，空间分辨率为1公里，用于计算土壤可蚀性K值。降水数据来自国家青藏高原科学数据中心（1公里分辨率），用于提取年平均降水量。夜间灯光数据取自GEE平台上的DMSP-OLS全球夜间灯光数据集，空间分辨率为1公里，用于提取夜间照明指数。GDP经济数据源自科学数据网，空间分辨率为1公里，用于提取人均GDP。人口密度数据取自地球资源数据云平台，空间分辨率为1公里，用于提取人口密度。道路数据源自中国地表交通运输数据库（1993–2020），空间分辨率为1公里，用于提取路网数据的变化特征。 第二部分展示了对原始数据进行分析后得到的结果，相关结果已收录于研究手稿中。