Constructing the STURLA classification
We constructed a 120.0 m2 cellular grid aligned to the Landsat surface temperature dataset and derived STURLA classes as the presence of all land cover and building height types that fell within each grid cell. Following Hamstead et al. (2016) a zonal statistics tabulate area operation to compute the area of each land cover or building height category within each cell was conducted. Finally, we generated and assigned a STURLA class variable for each grid cell (e.g, “tgpl”, trees, grass, pavement, lowrise building).