<![CDATA[A geothermal potential indication mapping was conducted in the Lubuk Sikaping area, Pasaman Regency, using a remote sensing approach based on satellite imagery to support the initial identification of prospective geothermal zones in regions with limited field data. This study employed three main parameters: the Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), and Fault and Fracture Density (FFD), which represent vegetation conditions, surface temperature, and geological fracture structures, respectively. The data were obtained from Landsat 8 OLI/TIRS and SRTM DEM imagery, processed using Google Earth Engine (GEE) and Geographic Information System (GIS) tools, and the integration of the three parameters was carried out using the Analytical Hierarchy Process (AHP) method. The results showed that NDVI values ranged from 0.0046 to 0.5569, LST values from 15.00 to 44.89 °C, and FFD values exceeded 3.2 km/km² in active fault zones. The prospective geothermal zones are concentrated in the central to northwestern parts of the study area, including regions without surface manifestations, and validation through spatial comparison with regional geological data and nearby geothermal manifestations revealed strong correspondence and supported the model’s accuracy. These findings indicate that the remote sensins and can serve as a valuable reference for guiding further exploration planning in areas with limited field measurement data.g–based approach has significant potential for non-invasive preliminary identification of geothermal prospect.]]>
