Automatic and Manual Fracture-Lineament Identification on Digital Surface Models as Methods for Collecting Fracture Data on Outcrops: Case Study on Fractured Granite Outcrops, Bangka
Three-dimensional outcrop models, or Digital Surface Models (DSMs), have proved their capacity in many geoscience studies. Along with the advantage in the rapid acquisition, DSMs are capable of creating virtual models of fractured outcrops to be interpreted for further analysis. This paper reports t...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-12-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2020.560596/full |
| _version_ | 1819143763983859712 |
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| author | Muhammad Edo Marshal Nurshal Muhammad Edo Marshal Nurshal Muhammad Suwongso Sadewo Arif Hidayat Wildan Nur Hamzah Wildan Nur Hamzah Benyamin Sapiie Mirzam Abdurrachman Alfend Rudyawan |
| author_facet | Muhammad Edo Marshal Nurshal Muhammad Edo Marshal Nurshal Muhammad Suwongso Sadewo Arif Hidayat Wildan Nur Hamzah Wildan Nur Hamzah Benyamin Sapiie Mirzam Abdurrachman Alfend Rudyawan |
| author_sort | Muhammad Edo Marshal Nurshal |
| collection | DOAJ |
| description | Three-dimensional outcrop models, or Digital Surface Models (DSMs), have proved their capacity in many geoscience studies. Along with the advantage in the rapid acquisition, DSMs are capable of creating virtual models of fractured outcrops to be interpreted for further analysis. This paper reports the DSM robustness by comparing the result of fracture-lineament measurement using DSMs and discusses the possible causes of error that might occur. The first method applied in this study is the scanline method to collect fracture data directly from outcrops, measuring more than 1,400 fracture data. The second method is applying fully automatic and manual fracture identification by optimizing hill-shaded DSMs. Two well-exposed granite outcrops in Bangka, Indonesia, are designed for the pilot area. Structure-from-Motion (SfM) photogrammetry is utilized to generate the DSMs, where a series of aerial images are captured using Unmanned Aerial Vehicle (UAV). The images are then processed into hill-shaded DSMs to be automatically analyzed following the algorithm in PCI Geomatics software and manually assessed. The textures of DSMs are also used in fracture identification through RGB filtering as the third method. The results show that the semiautomatic measurement using RGB-filtering texture has the closest pattern to the scanline data compared to the hill-shaded DSM method. The differences rely on several conditions, such as the geometry and texture of the outcrops. Eventually, methods of fracture identification using DSM are expected to be capable as options in preliminary fracture data collecting on outcrops, especially when the scanline is unable to be performed. |
| first_indexed | 2024-12-22T12:31:25Z |
| format | Article |
| id | doaj.art-efc337f5be1944bb913ba86fa18ffe1c |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-12-22T12:31:25Z |
| publishDate | 2020-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-efc337f5be1944bb913ba86fa18ffe1c2022-12-21T18:25:40ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632020-12-01810.3389/feart.2020.560596560596Automatic and Manual Fracture-Lineament Identification on Digital Surface Models as Methods for Collecting Fracture Data on Outcrops: Case Study on Fractured Granite Outcrops, BangkaMuhammad Edo Marshal Nurshal0Muhammad Edo Marshal Nurshal1Muhammad Suwongso Sadewo2Arif Hidayat3Wildan Nur Hamzah4Wildan Nur Hamzah5Benyamin Sapiie6Mirzam Abdurrachman7Alfend Rudyawan8Department of Geological Engineering-Master Program, Bandung Institute of Technology, Bandung, IndonesiaStructural Geology and Geodynamics Research Group, Department of Geological Engineering, Bandung Institute of Technology, Bandung, IndonesiaDepartment of Geological Engineering-Master Program, Bandung Institute of Technology, Bandung, IndonesiaDepartment of Geological Engineering-Master Program, Bandung Institute of Technology, Bandung, IndonesiaDepartment of Geological Engineering-Master Program, Bandung Institute of Technology, Bandung, IndonesiaPetrology, Volcanology, and Geochemistry Research Group, Department of Geological Engineering, Bandung Institute of Technology, Bandung, IndonesiaStructural Geology and Geodynamics Research Group, Department of Geological Engineering, Bandung Institute of Technology, Bandung, IndonesiaPetrology, Volcanology, and Geochemistry Research Group, Department of Geological Engineering, Bandung Institute of Technology, Bandung, IndonesiaStructural Geology and Geodynamics Research Group, Department of Geological Engineering, Bandung Institute of Technology, Bandung, IndonesiaThree-dimensional outcrop models, or Digital Surface Models (DSMs), have proved their capacity in many geoscience studies. Along with the advantage in the rapid acquisition, DSMs are capable of creating virtual models of fractured outcrops to be interpreted for further analysis. This paper reports the DSM robustness by comparing the result of fracture-lineament measurement using DSMs and discusses the possible causes of error that might occur. The first method applied in this study is the scanline method to collect fracture data directly from outcrops, measuring more than 1,400 fracture data. The second method is applying fully automatic and manual fracture identification by optimizing hill-shaded DSMs. Two well-exposed granite outcrops in Bangka, Indonesia, are designed for the pilot area. Structure-from-Motion (SfM) photogrammetry is utilized to generate the DSMs, where a series of aerial images are captured using Unmanned Aerial Vehicle (UAV). The images are then processed into hill-shaded DSMs to be automatically analyzed following the algorithm in PCI Geomatics software and manually assessed. The textures of DSMs are also used in fracture identification through RGB filtering as the third method. The results show that the semiautomatic measurement using RGB-filtering texture has the closest pattern to the scanline data compared to the hill-shaded DSM method. The differences rely on several conditions, such as the geometry and texture of the outcrops. Eventually, methods of fracture identification using DSM are expected to be capable as options in preliminary fracture data collecting on outcrops, especially when the scanline is unable to be performed.https://www.frontiersin.org/articles/10.3389/feart.2020.560596/fullphotogrammetrydronefracturestructural geologygranitebangka |
| spellingShingle | Muhammad Edo Marshal Nurshal Muhammad Edo Marshal Nurshal Muhammad Suwongso Sadewo Arif Hidayat Wildan Nur Hamzah Wildan Nur Hamzah Benyamin Sapiie Mirzam Abdurrachman Alfend Rudyawan Automatic and Manual Fracture-Lineament Identification on Digital Surface Models as Methods for Collecting Fracture Data on Outcrops: Case Study on Fractured Granite Outcrops, Bangka Frontiers in Earth Science photogrammetry drone fracture structural geology granite bangka |
| title | Automatic and Manual Fracture-Lineament Identification on Digital Surface Models as Methods for Collecting Fracture Data on Outcrops: Case Study on Fractured Granite Outcrops, Bangka |
| title_full | Automatic and Manual Fracture-Lineament Identification on Digital Surface Models as Methods for Collecting Fracture Data on Outcrops: Case Study on Fractured Granite Outcrops, Bangka |
| title_fullStr | Automatic and Manual Fracture-Lineament Identification on Digital Surface Models as Methods for Collecting Fracture Data on Outcrops: Case Study on Fractured Granite Outcrops, Bangka |
| title_full_unstemmed | Automatic and Manual Fracture-Lineament Identification on Digital Surface Models as Methods for Collecting Fracture Data on Outcrops: Case Study on Fractured Granite Outcrops, Bangka |
| title_short | Automatic and Manual Fracture-Lineament Identification on Digital Surface Models as Methods for Collecting Fracture Data on Outcrops: Case Study on Fractured Granite Outcrops, Bangka |
| title_sort | automatic and manual fracture lineament identification on digital surface models as methods for collecting fracture data on outcrops case study on fractured granite outcrops bangka |
| topic | photogrammetry drone fracture structural geology granite bangka |
| url | https://www.frontiersin.org/articles/10.3389/feart.2020.560596/full |
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