| Title | Discovering Geothermal Potential Resources with Land Surface Temperature and Lineament Density in the Low Temperature Geothermal Prospect: Case Study in Pentadio, Gorontalo, Indonesia |
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| Authors | M. Ghassan J. SHALIHIN, Ferdino R. FADHILLAH, Dani MARDIATI, Astri I. MUSTIKA, Triwening LARASATI |
| Year | 2024 |
| Conference | Stanford Geothermal Workshop |
| Keywords | Remote sensing analyses, lineament, digital extraction lineament, low-medium geothermal system, geothermal, Indonesia |
| Abstract | The Pentadio Geothermal Prospect is situated in Telaga Biru, Gorontalo, Indonesia, and falls into the category of a low to medium geothermal resource associated with the Gorontalo graben on the northern arm of Sulawesi Island. Identifying geothermal potential in such low to medium resource areas poses challenges due to the absence of vigorous thermal features commonly found in high-temperature fields. Therefore, this study aims to identify geothermal potential on this type of field by integrating remote sensing analyses. Remote sensing techniques, specifically land surface temperature (LST) overlayed with lineament density analysis are considered powerful tools for the preliminary assessment of this geothermal resource potential. These features exhibit a strong correlation with indicating geothermal presence in such areas. The study will utilize open-source data, such as Moderate Resolution Imaging Spectroradiometer (MODIS) derived from Google Earth Engine (GEE), to identify Land Surface Temperature anomalies, while lineament density will be sourced from DEMNAS imagery. It is expected that anomalies recorded through remote sensing analyses will exhibit a positive correlation with field observations, such as the presence of active thermal manifestations. |