*2.6. Preparation of Statistical Datasets*

The 30 m resolution land-use and LST maps of the years 2016 and 2017 produced in the research were used to prepare statistical datasets for inner Hanoi City. We applied the moving window method with varying window sizes, from 120 × 120 m (4 × 4 pixels) to 570 × 570 m (19 × 19 pixels), for the preparation of the datasets. Note that the LST data have a native pixel size of 100 m (resampled by USGS at 30 m), and the window averaging worsens the LST resolution and the ability to capture details in a heterogeneous area. The aim of the moving window (5 × 5 pixels) throughout the study area is to gather a sufficient number of samples (as large as 7770) for the statistical analysis, and selection of window size for further analysis. A "window" with a size and shape of interest is moved over the data with a moving distance that is equal to the window's width. For each window, the percentage coverage of the land-use types, urban built-up (%U), vegetation cover (%V), and water body (%W), were calculated. We also calculated the mean land surface temperature (μLST) for each window. The statistical datasets of 2016 were used for the validation of the model derived with 2017 datasets.
