Geothermal energy is a renewable energy resource that environmentally friendly and derived from natural processes. Based on data from the KESDM in 2020 the geothermal potential in Indonesia is 23,765.5 Mwe and 2,175.7 Mwe has been utilized or 9% of the total potential. Therefore, the potential for geothermal energy needs to be carried out through the development of geothermal exploration, one of them using remote sensing technology. Remote sensing is a technique to collect information about an object and its environment over a long distance without physical touch. Remote sensing techniques used in this research are Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) methods. This method can be an alternative to identify the presence of geothermal energy in geothermal exploration and can help to confront exploration challenges in terms of time effectiveness, economic, and accessibility to exploration locations. The research location at Toro, Central Sulawesi Province. According to KESDM data from 2017, manifestations of Toro hot springs have temperatures ranging from 25－60°C. This study aims to identify the relationship between LST and NDVI to Toro hot springs. In conducting LST and NDVI analysis, Landsat 8 OLI/TIRS data was used to determine the distribution pattern of surface temperature and the level of vegetation density in the study area. The results of LST and NDVI analysis at the Toro hot spring point show a temperature of 23－25°C and high vegetation density conditions with a value of 0.35－0.602691. The relationship between LST and NDVI is inversely proportional, so that high vegetation conditions can affect the identification process of geothermal conditions because high vegetation absorbs heat energy released by geothermal surface features and causes lower surface temperature recording. Therefore, the surface temperature of the Toro hot springs recorded by satellite through the LST method only approaches the minimum temperature value from the 2017 KESDM data.

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