Optimized LCZ mapping with automated machine learning reveals thermal disparities during a heatwave event

A physics-informed deep learning urban canopy model for Mediterranean cities: Development, validation, and application to Thessaloniki, Greece

Ioannis Stergiou, Serafim Kontos, Georgios Spyrou, Dimitrios Melas

Downscaling urban land surface temperature using AlphaEarth satellite GeoAI embeddings: A cross-city evaluation in the US

Bijoy Mitra, Guiming Zhang

Fine-scale land surface temperature (LST) data are critical for urban heat management, yet open-source LST datasets have long been limited to 30–500 m resolution. Recently, Google released its AlphaEarth Foundations (AEF), a 64-dimensional GeoAI embedding dataset covering the ent…Read more