PEMANTAUAN PERUBAHAN SUHU PERMUKAAN DAN KELEMBAPAN TANAH UNTUK PENENTUAN AREA TERDAMPAK EKSPLOITASI PEMBANGKIT LISTRIK TENAGA PANAS BUMI DI INDONESIA DAN FILIPINA MENGGUNAKAN DATA PENGINDERAAN JAUH

Geothermal energy is a renewable energy source from the 7th Sustainable Development Goal (SDG), which is to ensure affordable, reliable, sustainable, and modern access for all. One of the energies that can support the 7th SDG is geothermal energy. In 2020, the installed capacity of geothermal power...

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Bibliographic Details
Main Author: Novianti, Icha
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/65207
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Geothermal energy is a renewable energy source from the 7th Sustainable Development Goal (SDG), which is to ensure affordable, reliable, sustainable, and modern access for all. One of the energies that can support the 7th SDG is geothermal energy. In 2020, the installed capacity of geothermal power plants in Indonesia is 2,133 MW and in the Philippines is 1,918 MW. However, geothermal energy can be depleted, making certain wells unsustainable as they have extracted excessive heat resulting in reduced electricity production. In completing and analyzing in the long term 4 areas of Geothermal Power Plants in Indonesia and the Philippines from the parameters of changes in surface temperature or Land Surface Temperature (LST) and soil moisture from the Spatial Normalization Soil Moisture Monitoring Index (SMMI) using Landsat 8 for temperature analysis surface and Landsat 5, 7, and 8 for soil moisture analysis. Where the two parameters can indicate the exploited area. The results show that the Kamojang, BacMan, and MakBan geothermal working areas have an area of more than 100,000 ????2 of exploitation. Through this study, the geothermal exploitation area can be identified using surface temperature and soil moisture parameters which are expected to spur the government to accelerate geothermal development in other areas to activate areas that have the most extensive exploitation areas. This study help determines a faster and cheaper method of identifying using the exploitation detection method, namely remote sensing.