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).