Identification of Fault Zone in Bali Using GGMPlus Gravity and Alos-2 Palsar-2 Data
The local active fault in Bali has a small magnitude (M<5) but has destructive potential because it is very close to residential areas. Mapping the fault area on Bali is needed to identify the parameters of faults. This study used gravity data from GGMplus, topographic data from DEMNAS, and linea...
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Format: | Article |
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Universitas Negeri Medan
2023-02-01
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Series: | Jurnal Geografi |
Online Access: | https://jurnal.unimed.ac.id/2012/index.php/geo/article/view/40772 |
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author | I Putu Dedy Pratama Takahiro Osawa Abd Rahman As-Syakur |
author_facet | I Putu Dedy Pratama Takahiro Osawa Abd Rahman As-Syakur |
author_sort | I Putu Dedy Pratama |
collection | DOAJ |
description | The local active fault in Bali has a small magnitude (M<5) but has destructive potential because it is very close to residential areas. Mapping the fault area on Bali is needed to identify the parameters of faults. This study used gravity data from GGMplus, topographic data from DEMNAS, and lineaments using ALOS-2 PALSAR-2 data. Validation and interpretation using the geological map of Bali and seismicity data. We interpret the subsurface using the gravity derivative method to identify the type of fault movement. Identify fault locations using lineament extraction from SAR data processed by directional filters. The composite image red-green-blue (RGB) for HH, HV, and VV polarization was used for automatic lineament extraction and then corrected manually. The results of the gravity method succeeded in identifying 29 of the 30 faults from the geological map of the Bali sheet and a new spot from PALSAR-2. Bali land has 12 thrust faults, 11 strike-slip faults and six normal faults. The image of PALSAR-2 (L band) has succeeded in making a fault lineament map for the Bali region. The lineament extraction results from PALSAR-2 obtained four new faults (Pesanggaran, Sepang, Tegal Badeng, and Banyuwedang), while four faults were not identified (Tampaksiring Fault, Plaga, Mambal, and Munduk-Rajasa). NE-SW dominates the strike directions, and the dip angles are 45-80 degrees. We propose 30 faults in Bali, including 26 defects from geological maps with changes in length and location shift and four new marks extracted from automatic lineament.
Keywords: Remote Sensing, Earthquake, Derivative Gravity, Lineament, SAR |
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spelling | doaj.art-316383666983479abed6674fd54297c82024-04-16T04:06:36ZengUniversitas Negeri MedanJurnal Geografi2085-81672549-70572023-02-01151466310.24114/jg.v15i1.4077219341Identification of Fault Zone in Bali Using GGMPlus Gravity and Alos-2 Palsar-2 DataI Putu Dedy Pratama0Takahiro Osawa1Abd Rahman As-Syakur2Indonesian Agency for Meteorological, Climatological, and Geophysical Agency (BMKG) Masters Program in Environmental Science, Udayana UniversityYamaguchi University International Collaboarion Office (YUICO), Udayana University Center for Research and Application of Satellite Remote Sensing (YUCARS) Yamaguchi University, JapanCenter for Remote Sensing and Ocean Sciences (CReSOS) Udayana University Center for Environmental Research (PPLH), Udayana UniversityThe local active fault in Bali has a small magnitude (M<5) but has destructive potential because it is very close to residential areas. Mapping the fault area on Bali is needed to identify the parameters of faults. This study used gravity data from GGMplus, topographic data from DEMNAS, and lineaments using ALOS-2 PALSAR-2 data. Validation and interpretation using the geological map of Bali and seismicity data. We interpret the subsurface using the gravity derivative method to identify the type of fault movement. Identify fault locations using lineament extraction from SAR data processed by directional filters. The composite image red-green-blue (RGB) for HH, HV, and VV polarization was used for automatic lineament extraction and then corrected manually. The results of the gravity method succeeded in identifying 29 of the 30 faults from the geological map of the Bali sheet and a new spot from PALSAR-2. Bali land has 12 thrust faults, 11 strike-slip faults and six normal faults. The image of PALSAR-2 (L band) has succeeded in making a fault lineament map for the Bali region. The lineament extraction results from PALSAR-2 obtained four new faults (Pesanggaran, Sepang, Tegal Badeng, and Banyuwedang), while four faults were not identified (Tampaksiring Fault, Plaga, Mambal, and Munduk-Rajasa). NE-SW dominates the strike directions, and the dip angles are 45-80 degrees. We propose 30 faults in Bali, including 26 defects from geological maps with changes in length and location shift and four new marks extracted from automatic lineament. Keywords: Remote Sensing, Earthquake, Derivative Gravity, Lineament, SARhttps://jurnal.unimed.ac.id/2012/index.php/geo/article/view/40772 |
spellingShingle | I Putu Dedy Pratama Takahiro Osawa Abd Rahman As-Syakur Identification of Fault Zone in Bali Using GGMPlus Gravity and Alos-2 Palsar-2 Data Jurnal Geografi |
title | Identification of Fault Zone in Bali Using GGMPlus Gravity and Alos-2 Palsar-2 Data |
title_full | Identification of Fault Zone in Bali Using GGMPlus Gravity and Alos-2 Palsar-2 Data |
title_fullStr | Identification of Fault Zone in Bali Using GGMPlus Gravity and Alos-2 Palsar-2 Data |
title_full_unstemmed | Identification of Fault Zone in Bali Using GGMPlus Gravity and Alos-2 Palsar-2 Data |
title_short | Identification of Fault Zone in Bali Using GGMPlus Gravity and Alos-2 Palsar-2 Data |
title_sort | identification of fault zone in bali using ggmplus gravity and alos 2 palsar 2 data |
url | https://jurnal.unimed.ac.id/2012/index.php/geo/article/view/40772 |
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