Analysis reveals significant spatial differentiation in urban heat island intensity in coastal cities, suggesting targeted mitigation strategies.
Key Points
Urban heat island intensity shows notable spatial differentiation, with Hong Kong yielding the highest temperature increase of 2.63 °C.
Causal inference confirmed spatial heterogeneity of main driving factors, highlighting nighttime light and distance to sea as significant contributors.
Utilizing Landsat 8 remote sensing data allowed for a systematic assessment of urban heat dynamics across multiple Chinese coastal cities.
Findings present a framework for developing effective and region-specific strategies to mitigate urban heat island effects.