Spatial dynamic of land surface temperature in ciliwung watershed

Land surface temperature (LST) is one of critical element in urban climatology study, especially on urban heat island (UHI) mitigation and water balance. Urbanization in Ciliwung watershed continuously erodes open areas and considerably significant affect the surface temperature within watershed area. Therefore, the purpose of the study is to explore the potential contribution of land surface rising between elevations, vegetation and built-up index. Landsat 8/OLI satellite images use to derive LST, normalize differences vegetation index (NDVI) and normalized differences built-up index (NDBI) in study area on 2014 and 2018. Furthermore, elevation derive from DEMNAS raster provide by Geospatial Information Agency (BIG). In summary, there were LST increases from means temperature from 28.52 Celsius (2014) to 29.10 Celsius (2018) along with land cover changes (LCC). Meanwhile, LST spatial distribution is very closely related to the distribution of NDVI and NDBI. Statistical test results show high correlation (R-squared = 0.89 - 0.91) between LST, elevation, NDVI and NDVI. This indicates elevation, NDVI and NDBI factor play a significant role in LST dynamics.