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

Description

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.

Institutions

• Guizhou Normal University

  Guizhou, Guiyang

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