Remote Sensing Satellite Imagery and In-Situ Data for Identifying Geothermal Potential Sites: Jaboi, Indonesia
Remote sensing makes it possible to map potential geothermal site for a large area effectively using thermal infrared. The purpose of the present research is to overlay ground temperature, resistivity and satellite retrieved temperature in identifying geothermal potential site in Jaboi, Sabang-Indon...
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doaj-10b5edc9feb846bbbe1f8041deeee7bc2021-01-02T10:02:18ZengDiponegoro UniversityInternational Journal of Renewable Energy Development2252-49402252-49402020-07-019223724510.14710/ijred.9.2.237-24516209Remote Sensing Satellite Imagery and In-Situ Data for Identifying Geothermal Potential Sites: Jaboi, IndonesiaMuhammad Isa0Dwiky Pobri Cesarian1Ismail Ahmad Abir2Elin Yusibani3Muhammad Syukri Surbakti4Muksin Umar5Physics Department, Universitas Syiah KualaSchool of Physics, Universiti Sains Malaysia 11800, Pulau Penang, MalaysiaSchool of Physics, Universiti Sains Malaysia 11800, Pulau Penang, MalaysiaDepartment of Physics, Universitas Syiah Kuala 23111, Banda Aceh, IndonesiaDepartment of Physics, Universitas Syiah Kuala 23111, Banda Aceh, IndonesiaDepartment of Physics, Universitas Syiah Kuala 23111, Banda Aceh, IndonesiaRemote sensing makes it possible to map potential geothermal site for a large area effectively using thermal infrared. The purpose of the present research is to overlay ground temperature, resistivity and satellite retrieved temperature in identifying geothermal potential site in Jaboi, Sabang-Indonesia. The data of acquisition of the DEM imagery was January 3rd, 2009 and the Landsat 8 imagery is July 18th, 2017. The satellite data were applied to extract the land surface temperature and land classification across. Two supporting data in situ were used to validate the results from remote sensing. First dataset was ground temperature measurements with total 114 points and second dataset was vertical electrical sounding (VES) with total of 51 points. Satellite, VES and ground temperature data were processed and analysed using the Envi 5.3, PCI Geomatica 2016 and ArcMap 10.4. The results from each data were integrated to produce a map shows geothermal potential. Its integration produced four areas which were considered to have high geothermal potential. However, these areas vary in term of the clustering of the features of interest, for example lineament and drainage density of the area, high temperature in the surface area, fault existence and low resistivity subsurface. All the features must take into consideration to rank potential area which has higher potential. Finally, a map of geothermal potential across were successfully created as an insight for future reference. ©2020. CBIORE-IJRED. All rights reservedhttps://ejournal.undip.ac.id/index.php/ijred/article/view/28240geothermalenergytemperaturesatellite dataelectricity. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Muhammad Isa Dwiky Pobri Cesarian Ismail Ahmad Abir Elin Yusibani Muhammad Syukri Surbakti Muksin Umar |
spellingShingle |
Muhammad Isa Dwiky Pobri Cesarian Ismail Ahmad Abir Elin Yusibani Muhammad Syukri Surbakti Muksin Umar Remote Sensing Satellite Imagery and In-Situ Data for Identifying Geothermal Potential Sites: Jaboi, Indonesia International Journal of Renewable Energy Development geothermal energy temperature satellite data electricity. |
author_facet |
Muhammad Isa Dwiky Pobri Cesarian Ismail Ahmad Abir Elin Yusibani Muhammad Syukri Surbakti Muksin Umar |
author_sort |
Muhammad Isa |
title |
Remote Sensing Satellite Imagery and In-Situ Data for Identifying Geothermal Potential Sites: Jaboi, Indonesia |
title_short |
Remote Sensing Satellite Imagery and In-Situ Data for Identifying Geothermal Potential Sites: Jaboi, Indonesia |
title_full |
Remote Sensing Satellite Imagery and In-Situ Data for Identifying Geothermal Potential Sites: Jaboi, Indonesia |
title_fullStr |
Remote Sensing Satellite Imagery and In-Situ Data for Identifying Geothermal Potential Sites: Jaboi, Indonesia |
title_full_unstemmed |
Remote Sensing Satellite Imagery and In-Situ Data for Identifying Geothermal Potential Sites: Jaboi, Indonesia |
title_sort |
remote sensing satellite imagery and in-situ data for identifying geothermal potential sites: jaboi, indonesia |
publisher |
Diponegoro University |
series |
International Journal of Renewable Energy Development |
issn |
2252-4940 2252-4940 |
publishDate |
2020-07-01 |
description |
Remote sensing makes it possible to map potential geothermal site for a large area effectively using thermal infrared. The purpose of the present research is to overlay ground temperature, resistivity and satellite retrieved temperature in identifying geothermal potential site in Jaboi, Sabang-Indonesia. The data of acquisition of the DEM imagery was January 3rd, 2009 and the Landsat 8 imagery is July 18th, 2017. The satellite data were applied to extract the land surface temperature and land classification across. Two supporting data in situ were used to validate the results from remote sensing. First dataset was ground temperature measurements with total 114 points and second dataset was vertical electrical sounding (VES) with total of 51 points. Satellite, VES and ground temperature data were processed and analysed using the Envi 5.3, PCI Geomatica 2016 and ArcMap 10.4. The results from each data were integrated to produce a map shows geothermal potential. Its integration produced four areas which were considered to have high geothermal potential. However, these areas vary in term of the clustering of the features of interest, for example lineament and drainage density of the area, high temperature in the surface area, fault existence and low resistivity subsurface. All the features must take into consideration to rank potential area which has higher potential. Finally, a map of geothermal potential across were successfully created as an insight for future reference. ©2020. CBIORE-IJRED. All rights reserved |
topic |
geothermal energy temperature satellite data electricity. |
url |
https://ejournal.undip.ac.id/index.php/ijred/article/view/28240 |
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