Mapping Urban Heat Risk and Climate-Adaptation Priorities in Saudi Cities: An Explainable Geospatial Machine-Learning Framework Using Open Satellite, Climate, and Population Data
The management of urban heat in Saudi Arabia needs decision-support methods to separate persistent thermal patterns from city-specific climate and morphology effects. The study presents a reproducible open-data framework for Riyadh, Jeddah, and Dammam based on observations during the summer months (June–September) from...