#TITLE_ALTERNATIVE#

• Main Author: FAUZIAH (NIM : 15112102), ANNISSAA
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/25687
• Institution: Institut Teknologi Bandung

<p align="justify">Geothermal energy is thermal energy that generated and stored in the Earth. Geothermal is a renewable, sustainable, and clean energy source for environment. Surface manifestation can indicate the presence of geothermal activity under the surface of the earth. There are several technology for identifying surface manifestation, one of them is image fusion technique from remote sensing technology. In this research image fusion technique is applied to Sentinel-1A SAR data and Hyperion L1R data, with Patuha Area as the object of study. Image fusion is done using Intensity Hue Saturation (IHS) method, by separating IHS component from Red Green Blue (RGB) color space, replace intensity component with SAR data and reverse the image back to RGB color space. Result from data processing are reverse IHS 1, reverse IHS 2 and reverse IHS 3. Reverse IHS 3, combination of SAR VV/VH and band 1,2 MNF SWIR Hyperion is capable to distinguish surface manifestation visually. To check the accuracy of surface manifestation identification from image fusion result, field survey is conducted by measuring the susceptibility . Based on accuracy assessment using confusion matrix, the image fusion have 84.21% overall accuracy. The overall accuracy percentage indicates that SAR and hyperspectral image fusion is one of the most effective methods to indicate geothermal surface manifestation.<p align="justify">