Spatial analysis of air surface temperature using M-AST model in complex sub-urban area

Abstract

Abstract The distinction between urban and sub-urban becomes faded nowadays. The urban sprawl changes and transforms the sub-urban into more stand-alone cities in many ways, even more with the emergence of various activity centers spread over the area. Intense and complex human activities within the area will affect the micro-climatic condition, such as surface temperature and relative humidity. This study aims to identify changes in air surface temperature in a complex sub-urban area, like the IPB University campus and its surroundings in Cibanteng, Cihideung Ilir, Babakan, and Dramaga, of Bogor Regency. The changes in land-cover over some times also needed to understand, as it will raise the surface temperature, especially when natural vegetation turns into the built-up area. M-AST was generated from regression analysis between ground-based air surface temperature (AST) and image-based land surface temperature (LST). The y = 0.9988x + 4.3082 from the M-AST has an acceptable result with 0.70008 in the R2. The highest air surface temperature was found on the built-up area (35.6 °C), and the lowest was on the non-agricultural area (32.9 °C). This study concluded that the increase in air surface temperature of more than 2 °C was caused by changes in land-cover from vegetation to the built-up area.