Pearson Correlation Heat Map for Land Surface Temperature in Xining

Xining, a representative plateau city, is the focus of this study on urban thermal environments. The dataset integrates multi-source remote sensing data to analyze seasonal dynamics of land surface temperature regulated by land cover, topography, urban morphology, and atmospheric pollution. It was authored by Shibin Ma and last updated on 2026-05-15.

Use Cases

• Analyze spatiotemporal heterogeneity of urban heat island effects based on seasonal LST data
• Quantify nonlinear contributions and threshold effects of urban drivers like population density and built-up intensity
• Model interaction pathways between vegetation, impervious surfaces, terrain, and albedo for thermal regulation

Strengths

• Integrates multi-source remote sensing data into a multidimensional indicator system
• Applies XGBoost, SHAP, and structural equation modeling for analysis
• Released under a permissive CC-BY-4.0 license

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The 2.5 MB size suggests a relatively small dataset

Provenance

Source

figshare

Collection Method

Integrated multi-source remote sensing data.

Freshness

Last updated 2026-05-15 17:45:02; freshness should be verified

Geography

Xining, a plateau city.