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Asep Saepuloh
Program Studi Teknik Geologi, Fakultas Ilmu dan Teknologi Kebumian, Institut Teknologi Bandung (ITB)

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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
APLIKASI KLASIFIKASI TERBIMBING UNTUK MEMETAKAN PRODUK GUNUNG AGUNG DENGAN LANDSAT 8-OLI/TIRS DAN VERIFIKASI GEOLOGI LAPANGAN Yudhistira Adika Nugraha; Asep Saepuloh
Bulletin of Geology Vol 3 No 2 (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.2019.3.2.4

Abstract

Geological mapping for volcano products that has just erupted will give important basic information to understand the eruption characteristic and the hazard mitigation that can be done. Difficult terrain and high danger around active volcano cause geological mapping hard to be done using direct observation method. To give another solution for the problem, we try to explain digital volcano products mapping using supervised classification method from field data that still be reached. Image data selection with atmospheric correction is the important factor to get high map accuracy. Supervised classification method that used in this research is Minimum Distance Classification. This method uses average vector for each ROI and calculates Euclidean distance from every pixel for each class, so every class can be distinguished well and precisionly. Geological observation is done before classification process by choosing 140 observation point that spread in the east of Agung Volcano. Geological data consists of lithology, correlation, and the mechanism of the rocks that used as the reference in the determination of class for classification from Landsat 8-OLI/TORS image. The research area is located on the east of Agung Volcano which has 60 km2. It is located between Kubu District, Abang District, and Bebandem District, Karangasem Regency, Bali Province. Supervised classification can map products of Agung Volcano for area that can’t be reached around 324 km2. Verification process is done by comparing supervised classification result in research area with observation point at the field using Classification Accuracy Assessment method with result reaching 90%.