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ANALYZING SURFACE ROUGHNESS MODELS DERIVED BY SAR AND DEM DATA AT GEOTHERMAL FIELDS Tahjudil Witra; Asep Saepuloh; Agung Budi Harto; Ketut Wikantika
Bulletin of Geology Vol 1 No 2 (2017): Bulletin of Geology
Publisher : Fakultas Ilmu dan Teknologi Kebumian (FITB), Institut Teknologi Bandung (ITB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/bull.geol.2017.1.2.1

Abstract

Surface roughness is a physical property which is used in many applications such as hydrological analyses, erosivity of rocks, and identification of geothermal surface manifestations. In this study, the surface roughness was calculated by a pin-meter. This tool is expected be able to measure the fragmental size at ground surface. However, there is a possibility that the tool still has some errors from the effect of topography undulation. In previous research, detrending method was used to minimise the topographical effect in the measured surface roughness. In this paper, we used Synthetic Aperture Radar (SAR) data from Sentinel-1A, and Digital Elevation Model (DEM) SRTM to evaluate the effectiveness of detrending method of pin-meter. Therefore, the measured surface roughness originated solely from fragmental materials. The selected research areas were Wayang Windu and Patuha geothermal field in Indonesia. Modelling the surface roughness by Sentinel-1A image was conducted by utilising backscattering coefficient and local incidence angle. While surface roughness model from DEM is formed by the Root mean square (RMS) for each grid with the optimum size 19×19 pixels. Both models were compared to pin-meter data which have been detrended. Then, the comparison was analyzed based on determination correlation value (R2). Surface roughness model derived by Sentinel-1A produced R2 about 0.1130 higher than DEM about 0.060. It might indicate that the surface roughness measured by the pin-meter following detrending process is free from the effect of topography undulation. Then, surface roughness model derived by Sentinel-1A data was used to identify surface manifestation. Analysis was performed based on pH measurement at field and scatter plot pattern. According to the selected model, the surface roughness at geothermal surface manifestation zones are inversely proportional to the soil pH.
TEKNIK PENDETEKSIAN ZONA MATA AIR PANAS GEOTERMAL MENGGUNAKAN CITRA SATELIT MULTISENSOR DAN OBSERVASI LAPANGAN Lazuardy Fajar Pratama Sulaeman; Asep Saepuloh; Permana Adhitya Lano
Bulletin of Geology Vol 3 No 3 (2019): Bulletin of Geology
Publisher : Fakultas Ilmu dan Teknologi Kebumian (FITB), Institut Teknologi Bandung (ITB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/bull.geol.2019.3.3.3

Abstract

Geothermal exploration activities in a very large area require a lot of time and manpower. A mapping technique can be used to minimize time and manpower at field by optimizing the use of remote sensing technology. This paper is aimed to identify the availability of geothermal hot springs zones using multisensory images from Landsat-8 Advanced Land Imager (OLI), Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Thermal Infrared Radiometer (TIR), and Synthetic Aperture Radar (SAR) of Sentinel-1. The imagery data were prepared and used according to their respective uses, and then they will be verified by field geological data including location of hot springs and geological structures. Baolan Subdistrict and Galang Subdistrict, Tolitoli District, Central Sulawesi Province was selected as study area to obtain the effectiveness of multisensory technique under thick vegetation cover and limited access. The geological mapping area was focused in the south of Tolitoli City with coverage area about 50 km2. Surface thermal anomaly detection was performed using ASTER TIR by calculating the Land Surface Temperature (LST) and combined with wetness detection using Landsat-8 OLI. In addition, the Sentinel-1 images were used to detect lineament related to geological structures on the surface served as fluid path flows from sub-surface to surface. Ground truthing was performed by mapping hot springs at field and served as verification to the remote sensing results. Then, geological interpretation of geothermal system availability under the study area was performed. The multisensory image analyses verified by field mapping of the hot springs zone showed high effectivity to localize the possible area for surface manifestations. Meanwhile, the lineament related to geological structures based on Sentinel-1 image detected successfully a sinistral strike slip and sinistral normal faults. Accordingly, the geothermal manifestation in the study area was a discharge zone presented by the existence of hot springs and strike-slip faults acted as fractures permeability
GEOCHEMICAL CHARACTERISTICS OF HOT SPRINGS IN BATU LEPOQ AND PANGADAN VILLAGES, KARANGAN DISTRICT, EAST KUTAI REGENCY, EAST KALIMANTAN PROVINCE Habibah, Miftah Faaza; Putri, Resty Intan; Sabrian, Panggea Ghiyats; Shoedarto, Riostantieka Mayandari; Saepuloh, Asep
Jurnal Chemurgy Vol 7, No 2 (2023): Jurnal Chemurgy-Desember 2023
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/cmg.v7i2.15907

Abstract

The Karangan District in East Kutai Regency, East Kalimantan Province, is identified as having geothermal potential in the villages of Batu Lepoq and Pangadan. The presence of hot springs in these locations underscores the area's rich geological features, despite the absence of active volcanoes on the island. This study aims to analyze the physical and geochemical characteristics of the hot springs. A conceptual model of the geothermal system was developed to evaluate the geothermal potential of the area. Geochemical data from field samples were analyzed using geochemical methods. The findings indicate that the equilibrium lies in the immature water zone, with the primary source of the hot fluid being meteoric water heated by geopressure. The temperature of the sole reservoir in the Pangadan Village geothermal system is estimated to be 1930±10°C, as determined by the 1988 Giggenbach geothermometer.
Sea Surface Temperature and Sea Level Rise Impact on Coastal Dynamics in Makassar, South Sulawesi, Indonesia Nurbaeti, Nurbaeti; Saepuloh, Asep; Azikin, Busthan; Rachmayani, Rima
International Journal of Marine Engineering Innovation and Research Vol 10, No 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.22327

Abstract

Makassar City in South Sulawesi (Indonesia) is located at a low elevation of about 0-25 meters, while the coastal area is only 1-5 meters above sea level and is composed of alluvial deposits. The western boundary is directly adjacent to the Makassar Strait. These conditions make Makassar City highly vulnerable to the impacts of ocean dynamics and coastline changes caused by erosion or sedimentation, posing significant threats to infrastructure and livelihoods. This study aims to quantify sea-level changes that potentially cause coastal disasters in Makassar by detecting temporal variations in sea surface temperature (SST) and coastline changes. This study utilized remote sensing technology from AQUA MODIS, Landsat 7 ETM+, and Landsat 8 OLI/TIRS. The in-situ sea temperature measurements were conducted using a conductivity-temperature-depth (CTD) hydrographic device. In addition, the coastline verification was performed using a traverse of a global positioning system (GPS) device. Image processing was done using the SST extraction and band ratio methods to detect sea surface temperatures and coastlines, respectively. According to the AQUA MODIS data,  the maximum SST increased from 28.84°C to 30.69°C from 2004 to 2024 with the highest temperature occured in 2024. The increase of SST agreed to the increase of sea level and coastlines. The evidence of the coastline changes presented by sedimentation and erosion is about 3.47 hectares and 32.89 hectares, respectively. The geological factors that play a role in coastal sedimentation and erosion originate from river sedimentation supply and increased sea level.
Mapping Iron Oxide Distribution on the Ground Surface of the Tugu Barat Oil and Gas Field Using Landsat 8 OLI and Field Data Tri Muji Susantoro; Suliantara Suliantara; Ketut Wikantika; Asep Saepuloh; Agung Budi Harto; Herru Lastiadi Setiawan; Fitriani Agustin; Adis Jayati; Kurdianto Kurdianto; Sayidah Sulma; Sukristiyanti Sukristiyanti
Scientific Contributions Oil and Gas Vol 47 No 3 (2024)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/SCOG.47.3.1634

Abstract

Previous studies have demonstrated that Landsat series data can be utilized to map rock change in arid and semi-arid environments. In this study, Landsat 8 Operational Land Imager (OLI) was used to map the presence of iron oxide (ferrous, ferric, and hematite) in the topsoil of the Tugu Barat Oil and Gas Field, Northwest Java Basin, Indonesia. The aim is to map the distribution of iron oxide and analyze it for detection of the presence of microseepage. The results show that the concentration of the mineral hematite indicates an anomaly, where the edge of the field is very low and tends to rise in the middle, but this condition is unclear, because of the presence of red soil containing high hematite in the north. Based on analysis indicates an anomaly, where the edge of the field is very low and tends to rise in the middle, but this condition is unclear, because of the presence of red soil containing high hematite in the north. Based on analysis of Landsat 8 OLI data, ferrous oxide concentrations show an increase at the edge of the field, especially in the southeast. However, this condition is less visible in the west because of the high vegetation density. The ferric oxide concentration shows the opposite pattern to the ferrous oxide concentration. These results are supported by the ferrous oxide index results from soil reflectance spectra recorded using Analytical Spectral Devices (ASD). Where the ferrous oxide concentration is low at the edge then tends to rise in the middle of the field. Meanwhile, the analysis of ferric oxide from the spectral reflectance of soil from ASD results does not show clear differences. The Normalized Iron Oxide Difference Index (NIODI) analysis shows the presence of small amounts of hematite and no geotite. The research results show evidence of microseepage indications at the edge of the field, especially at the southeastern edge. Iron oxide mapping has the potential to support oil and gas exploration through analysis of alteration processes which are thought to be the impact of micro-seepage.
Sea Surface Temperature and Sea Level Rise Impact on Coastal Dynamics in Makassar, South Sulawesi, Indonesia Nurbaeti; Asep Saepuloh; Busthan Azikin; Rima Rachmayani
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 1 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.4740

Abstract

Makassar City in South Sulawesi (Indonesia) is located at a low elevation of about 0-25 meters, while the coastal area is only 1-5 meters above sea level and is composed of alluvial deposits. The western boundary is directly adjacent to the Makassar Strait. These conditions make Makassar City highly vulnerable to the impacts of ocean dynamics and coastline changes caused by erosion or sedimentation, posing significant threats to infrastructure and livelihoods. This study aims to quantify sea-level changes that potentially cause coastal disasters in Makassar by detecting temporal variations in sea surface temperature (SST) and coastline changes. This study utilized remote sensing technology from AQUA MODIS, Landsat 7 ETM+, and Landsat 8 OLI/TIRS. The in-situ sea temperature measurements were conducted using a conductivity-temperature-depth (CTD) hydrographic device. In addition, the coastline verification was performed using a traverse of a global positioning system (GPS) device. Image processing was done using the SST extraction and band ratio methods to detect sea surface temperatures and coastlines, respectively. According to the AQUA MODIS data, the maximum SST increased from 28.84°C to 30.69°C from 2004 to 2024 with the highest temperature occured in 2024. The increase of SST agreed to the increase of sea level and coastlines. The evidence of the coastline changes presented by sedimentation and erosion is about 3.47 hectares and 32.89 hectares, respectively. The geological factors that play a role in coastal sedimentation and erosion originate from river sedimentation supply and increased sea level.