Identification of geothermal potential zone associated with land surface temperature derived from Landsat 8 data using split-window algorithm

Abstract

This study was conducted in the geothermal potential area of Mount Seulawah, Aceh province. Study was conducted using remote sensing methods in order to estimate and map the land surface temperature (LST). Data used in this study is Landsat 8 OLI and TIRS. Methods used in this study were split-window algorithm (SWA) to obtain the LST through NDVI analysis and landcover classification, and image enhancement to obtain the lineament density through visual interpretation referring to the results of band ratio and filter techniques. The results of the NDVI analysis show that the study area has a value in the range of -0.57 – 0.97. The results of the LST analysis show that the surface temperature in the area has a value in the range of 21.32 - 32.88 oC. Areas that have high LST values can be estimated as areas that have anomalies. Based on the results of the lineament density analysis, the higher density value in an area can indicate the better permeability where geothermal manifestations come out. The direction of the lineaments that control the study area is dominated by the northwest-southeast in accordance with the direction of the main stress, namely the Seulimum fault and the Aceh fault which also has a northwest-southeast direction. The overall results show that the Seulawah geothermal area is quite potential to be developed for the sustainable natural resource.