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Remote Sensing Satellite Imagery and In-Situ Data for Identifying Geothermal Potential Sites: Jaboi, Indonesia

International Journal of Renewable Energy Development : JRED · Vol. 9 No. 2 (2020) · hlm. 237–245

DOI
10.14710/ijred.9.2.237-245
ISSN
2252-4940
Terbit
2020-07-15
Penerbit
Center of Biomass & Renewable Energy (CBIORE)
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

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.

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  • Universitas Syiah Kuala
  • Meteorological, Climatological, And Geophysical Agency
  • Universiti Sains Malaysia
  • Universitas Islam Negeri Ar-Raniry
  • Griffith University
  • Institut Agama Islam Negeri Langsa
  • Universitas Halu Oleo
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Rekan penulisOrganisasiArtikel bersama
Rahmi RahmiUniversitas Syiah Kuala4
Peter Lloyd WOODFIELDGriffith University4
Yusran AsnawiUniversitas Islam Negeri Ar-Raniry2
Andrean V. H. SimanjuntakMeteorological, Climatological, And Geophysical Agency2
Syamsidik SyamsidikUniversitas Syiah Kuala2
Nazli IsmailUniversitas Syiah Kuala2
Zulfadhli ZulfadhliUniversitas Syiah Kuala2
Cut Fat ThahulUniversitas Syiah Kuala2
Muhammad YanisUniversitas Syiah Kuala2
Lena ArdiahUniversitas Syiah Kuala2
Adi RahwantoUniversitas Syiah Kuala2
R RajibussalimUniversitas Syiah Kuala2
Syamsul RizalInstitut Agama Islam Negeri Langsa1
Muhammad SyukriUniversitas Halu Oleo1
Inna NuranaUniversitas Syiah Kuala1
Djati Cipto KuncoroMeteorological, Climatological, And Geophysical Agency1
Nurjannah NurjannahAfiliasi tidak diketahui1
Syarifah ZainuraUniversitas Syiah Kuala1
Edwar IswardyUniversitas Syiah Kuala1
Fajrul HaniUniversitas Syiah Kuala1
Fadhli SyamsuddinUniversitas Syiah Kuala1
Amir AsyqariUniversitas Syiah Kuala1
Muhammad NandaUniversitas Syiah Kuala1
Badrul MunirUniversitas Syiah Kuala1
Muhammad Arfan AlhafsiUniversitas Syiah Kuala1
Tomi AfrizalPrince of Songkla University1
Abdurrahman AbdurrahmanMeteorological, Climatological, And Geophysical Agency1
Faisal AbdullahUniversitas Syiah Kuala1
Marwan MarwanUniversitas Syiah Kuala1
Nasrullah ZainiUniversitas Syiah Kuala1
Isra NovariUniversitas Syiah Kuala1
Bondan Galih DewantoUniversitas Gadjah Mada1
Muzakir ZainalUniversitas Syiah Kuala1
Abdi JihadMeteorological, Climatological, And Geophysical Agency1

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Sumber metadata: OAI-PMH (metadata jurnal) https://ijred.cbiore.id/index.php/ijred/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Remote Sensing Satellite Imagery and In-Situ Data for Identifying Geothermal Potential Sites: Jaboi, Indonesia</dc:title>
	<dc:creator>Isa, Muhammad</dc:creator>
	<dc:creator>Cesarian, Dwiky Pobri</dc:creator>
	<dc:creator>Abir, Ismail Ahmad</dc:creator>
	<dc:creator>Yusibani, Elin</dc:creator>
	<dc:creator>Surbakti, Muhammad Syukri</dc:creator>
	<dc:creator>Umar, Muksin</dc:creator>
	<dc:subject xml:lang="en-US">Geothermal; energy; temperature; satellite data; electricity.</dc:subject>
	<dc:description xml:lang="en-US">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. </dc:description>
	<dc:publisher xml:lang="en-US">Center of Biomass &amp; Renewable Energy (CBIORE)</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2020-07-15</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijred.cbiore.id/index.php/ijred/article/view/28240</dc:identifier>
	<dc:identifier>10.14710/ijred.9.2.237-245</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Renewable Energy Development; Vol 9, No 2 (2020): July 2020; 237-245</dc:source>
	<dc:source>2252-4940</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijred.cbiore.id/index.php/ijred/article/view/28240/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2020 The Authors. Published by Centre of Biomass and Renewable Energy (CBIORE)</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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