Abstract
Land use land cover (LULC) change is a key contributor to land surface temperature (LST) and, consequently, the urban heat island effect. Investigating changes in urban morphology through LULC change and its impact on LST is crucial for urban planning and thermal comfort. In this work, we analyze the time-series evolution of both LST and LULC as well as their relationship in the city of Maceió, the capital of Alagoas, Brazil. We chose MODIS MOD11 as our LST data source and the Dynamic World dataset for near real time LULC mapping. LST time-series were generated for an annual scale, and we applied nonlinear trend analysis on 8-day averaged LST data using the BEAST algorithm. We found that the trend component of daytime LST for Maceió urban area increased 0.80 °C from 2000 to 2021 and, surprisingly, decreased 0.20 °C from 2021 to 2024, while the nighttime LST increased 0.85 °C from 2000 to 2024. In addition, we revealed a decrease in Crops area and an increase in Built Area, which had no impact on daytime or nighttime LST. These results can be used to aid in the creation of a better thermal comfort planning.
Published Version
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