Comparison of In-Situ Temperature and Satellite Retrieved Temperature in Determining Geothermal Potential in Jaboi Field, Sabang

Cesarian, Dwiky Pobri; Abir, Ismail Ahmad; Isa, Muhammad

doi:10.1088/1742-6596/1116/3/032008

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…The manifestation area and the potential point of geothermal distribution are at this high surface temperature. Although not all include geothermal potential, some locations are man-made objects, such as urban areas that are able to provide high temperatures when viewed via satellite (Cesarian et al, 2018). The manifestation areas with high surface temperatures are Silih Nara and Wih Pesam areas.…”

Section: Resultsmentioning

confidence: 99%

“…Where, geometric corrections are made to position the image against the coordinates of objects on the earth's surface, due to the effects of the earth's rotation, the direction of the satellite's movement and the curvature of the earth's surface. The Normalized Difference Vegetation Index (NDVI) correlates between physical parameters and certain physical properties of vegetation cover (Cesarian et al, 2018). The vegetation index value was calculated from the spectral reflectance of the red band (Band 4) and NIR (Band 5) from the Landsat 8 OLI image data.…”

Section: Literature Reviewmentioning

confidence: 99%

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Geothermal Distribution Analysis of Geureudong Volcano Based On Satellite Data and Fault Fracture Density (FFD)

Isa

Zulfadhli

Thahul

et al. 2022

EKW

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Geureudong Volcano area, Bener Meriah, has the potential to be developed as a renewable energy source. Analysis of the distribution of geothermal manifestations can be done with remote sensing techniques and direct measurement. Furthermore, information on geomorphological conditions, surface temperature, and geothermal potential distribution can be known based on the density value on the FFD (Fault Fracture Density) map and satellite image processing results. Data processing uses ArcGIS and ENVI software concerning geothermal manifestations. The analysis was performed by converting DEMNAS data to a hillshade for drawing straightness structures related to the fault. Image data processing to obtain vegetation density (NDVI), hydrological state (NDWI), and surface temperature distribution (LST). NDWI values are inversely proportional to NDVI. The LST value depends on the density of the vegetation; the higher the vegetation density, the lower the surface temperature. The FFD map is divided into three levels i.e. low (0-0.17 km/km2), moderate (0.17-0.47 km/km2) and high (0.47-1.2 km/km2). The distribution of geothermal potential is at medium and high-density levels, including the Silih Nara, Wih Pesam, and Pintu Rime Gayo areas. The straightness direction is in the north-south and southeast-northwest positions. Based on the NDVI, NDWI, and LST map analysis results, geothermal energy distribution has a rare to moderate vegetation density with surface temperatures ranging from 25.8oC-39.6oC. The result clearly shows that the Geureudong geothermal distribution is initial information before in situ exploration is carried out.Abstrak: Gunung berapi Geureudong, Bener Meriah, sangat prospektif untuk dikembangkan terutama sebagai sumber energi terbarukan. Analisis sebaran manifestasi panas bumi dapat dilakukan dengan teknik penginderaan jauh dan pengukuran langsung. Informasi geomorfologi, temperatur permukaan dan sebaran potensi panas bumi dapat diketahui berdasarkan nilai densitas pada peta FFD (Fault and Fracture Density) dan hasil pengolahan citra satelit Landsat 8. Pemrosesan data menggunakan perangkat lunak ArcGIS dan ENVI yang terkait dengan manifestasi panas bumi. Analisis dilakukan dengan mengubah data DEMNAS menjadi hillshade untuk menggambar struktur kelurusan yang berhubungan dengan sesar. Pengolahan data citra untuk mendapatkan kerapatan vegetasi (NDVI), keadaan hidrologi (NDWI) dan distribusi suhu permukaan (LST). Nilai NDWI berbanding terbalik dengan NDVI. Nilai LST tergantung pada kerapatan vegetasi, semakin tinggi kerapatan vegetasi maka semakin rendah suhu permukaan. Peta FFD dibagi menjadi tiga tingkatan; rendah (0-0,17 km/km2), sedang (0,17-0,47 km/km2) dan tinggi (0,47-1,2 km/km2). Sebaran potensi panas bumi berada pada tingkat kepadatan sedang dan tinggi, meliputi kawasan Silih Nara, Wih Pesam dan Pintu Rime Gayo. Arah kelurusan berada pada posisi utara-selatan dan tenggara-barat laut. Berdasarkan hasil analisis peta NDVI, NDWI dan LST didapatkan bahwa sebaran energi panas bumi memiliki kerapatan vegetasi jarang hingga sedang dengan temperatur permukaan berkisar antara 25.8oC-39.6oC.Hasil yang diperolehkan menunjukkan bahwa sebaran panas bumi Geureudong dengan sangat jelas tergambar sebagai informasi awal sebelum dilakukan eksplorasi lapangan (in situ).

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Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Geothermal Distribution Analysis of Geureudong Volcano Based On Satellite Data and Fault Fracture Density (FFD)

Isa

Zulfadhli

Thahul

et al. 2022

EKW

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“…The mountain is located at about 10 km south of Sabang city, Indonesia, with coordinate of 5°48'28.93"N and 95°19'44.88"E. Based on the observation from the available geological map, multiple hills can be seen around the study area which may have formed from tectonic activities of the Sumatera fault system. The map suggested that the island is a volcanic island that composed of andesites, tuffs and agglomerates (Cesarian et al 2018). Another finding on the geological condition of this island explained that stratigraphically the island consists of four main groups of rock units.…”

Section: Introductionmentioning

confidence: 90%

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

Isa

Cesarian

Abir

et al. 2020

Int. J. Renew. Energy Dev.

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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

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“…Some of these investigations have been carried out in well known geothermal areas, allowing the identification of new specific areas of geothermal interest (Coolbaugh, 2003, Gutiérrez et al, 2012. Multispectral satellites, such as Landsat 7 ETM+ and Landsat 8 OLI/TIRS, have thermal bands that are used to determine thermal anomalies in volcanic areas and geothermal areas (Mia et al, 2014, Cesarian et al, 2018Sekertekin & Arslan, 2019). The use of thermal satellite images has some limitations; not all scenes are of a high quality due to cloudiness and spatial resolution, and due to difficult access in some areas, validation of satellite data with field data is challenging.…”

Section: Introductionmentioning

confidence: 99%

Determination of Hydrothermal Prospects in Paipa Geothermal Region (Boyacá, Colombia) Using Remote Sensing and Field Data

Calderón-Chaparro

Cuervo

2019

Earth sci. res. j.

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Geothermal resources have been found with the help of conventional geological, geochemical, and geophysical techniques. However, in some cases, difficult access to research areas hinders its application, which in turn increases operating costs and restricts areas of exploration. Remote sensors with thermal infrared are an important tool in the exploration of geothermal resources due to the low cost and high efficiency in the study of large geographic areas. In this research, thermal images of remote satellite sensors are used and integrated with existing geological-geophysical information for the determination of exploratory prospects of hydrothermal vents in the geothermal region of Paipa, Boyacá. The satellite thermal images used are Landsat 7 ETM+ and Landsat 8 OLI/TIRS. Radiometric calibration, atmospheric correction, surface thermal emissivity calculation, a single-channel, and Split window algorithm were applied to retrieve the land surface temperature. Soil temperature, surface temperature, air temperature, relative humidity, atmospheric pressure, and thermal imagery of the geothermal manifestations were also used. The field data contributed to the correction of the thermal bands, and the soil temperature data helped to create a subsurface temperature map at one-meter depth. Once the primary and secondary data was available, in a GIS, an unweighted spatial model was implemented, which used four input indicators (satellite temperature index, soil temperature index, structural lineaments index, and iso-resistivity index), to determine the areas most likely to find geothermal fluids. Six areas of exploratory interest for the extraction of hydrothermal fluids were determined, of which two are already known, and the remaining four are proposed as prospects. The results allowed us to conclude that thermal remote sensors are a useful tool for the mapping of geothermal anomalies in the Paipa region, and by combining these anomalies with geological-geophysical information, it is possible to determine specific areas of exploration.Los recursos geotérmicos han sido encontrados con ayuda de técnicas de campo, geológicas, geoquímicas y geofísicas, las cuales, en algunas ocasiones, el difícil acceso al área de investigación, dificulta su aplicación, aumentando los costos de operación y restringiendo espacialmente las áreas de exploración. Los sensores remotos con infrarrojo termal, son una herramienta importante en la exploración de recursos geotérmicos, debido al bajo costo y alta eficiencia en el estudio de grandes áreas geográficas. En esta investigación se utilizaron e integraron imágenes termales de sensores remotos satelitales, con información geológica-geofísica existente, para la determinación de prospectos exploratorios de fuentes hidrotermales en la región geotérmica de Paipa, Boyacá. Las imágenes térmicas satelitales utilizadas son Landsat 7 ETM+ y Landsat 8 OLI/TIRS. También, se utilizaron datos de campo, de temperatura de suelo, temperatura de superficie, temperatura de aire, humedad relativa, presión atmos...

show abstract

Comparison of In-Situ Temperature and Satellite Retrieved Temperature in Determining Geothermal Potential in Jaboi Field, Sabang

Cited by 5 publications

References 4 publications

Geothermal Distribution Analysis of Geureudong Volcano Based On Satellite Data and Fault Fracture Density (FFD)

Geothermal Distribution Analysis of Geureudong Volcano Based On Satellite Data and Fault Fracture Density (FFD)

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

Determination of Hydrothermal Prospects in Paipa Geothermal Region (Boyacá, Colombia) Using Remote Sensing and Field Data

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