[MGI39-P09] Detection of hydrothermal alteration zones distribution by applying linear unmixing method to hyperspectral satellite imagery for densely vegetated geothermal area
Keywords:remote sensing, Hyperion satellite imagery, geothermal manifestation, geothermal-resource exploration, Wayang Windu field (Indonesia)
Thus, a typical hyperspectral satellite imagery, Hyperion was used in this study by selecting the Wayang Windu geothermal field in West Java, Indonesia in which a large-scale geothermal power plant with 227 MW is operated. This field is covered by thick vegetation. To improve detection accuracy of hydrothermal alteration zone in such dense vegetation field, linear spectral unmixing was applied to the Hyperion data by focusing on the spectral reflection and absorption characteristics of alteration minerals. As the result, most pixels extracted as alteration mineral zones corresponded to known geothermal manifestations and fault traces and additionally, main minerals constituting the zones were identified. This research is supported by JST and JICA through a project of Science and Technology Research Partnership for Sustainable Development (SATREPS, Grant No. JPMJSA1401).