Assess students' ability to analyze spatial patterns and drivers of urban heat islands using satellite-derived land surface temperature, land cover/land-use data, and ancillary datasets; tasks include data preprocessing, mapping UHI intensity, applying spatial statistics and regression/GAM or ML to attribute drivers (vegetation, imperviousness, albedo, population), evaluating scale and temporal variation, quantifying uncertainty, and interpreting results for mitigation.