Abstract
This study aims to detect the environmental crises phenomena as an effect temperature increases in the built area by remote sensing technology. This study is taking place in Surakarta City, Central Java, Indonesia. The methods are used in this research is to spatially compare the distribution of surface temperature that detected using Land Surface Temperature (LST) algorithm with the distribution of built-up area that detected using Built-Up Index (BU) algorithm. Spatial data are used is multi-temporal satellite imagery of Landsat. The result of this research, the surface temperature is detected an increase in Surakarta City every year. The spread of high temperatures is increasingly and widespread followed by the widespread of Built-Area. The central area of Surakarta City is identified as the most critical environmental area based on the temperature and built the region. The northern border area of the city can also be detected with increased Build-Area distribution and surface temperature distribution.
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