Browse > Article
http://dx.doi.org/10.7780/kjrs.2018.34.3.1

A Study on Automated Lineament Extraction with Respect to Spatial Resolution of Digital Elevation Model  

Park, Seo-Woo (Department of Geological Sciences, Pusan National University)
Kim, Geon-Il (Department of Geological Sciences, Pusan National University)
Shin, Jin-Ho (Department of Geological Sciences, Pusan National University)
Hong, Sang-Hoon (Department of Geological Sciences, Pusan National University)
Publication Information
Korean Journal of Remote Sensing / v.34, no.3, 2018 , pp. 439-450 More about this Journal
Abstract
The lineament is a linear or curved terrain element to discriminate adjacent geological structures in each other. It has been widely used for analysis of geology, mineral exploration, natural disasters, and earthquake, etc. In the past, the lineament has been extracted using cartographic map or field survey. However, it is possible to extract more efficiently the lineament for a very wide area thanks to development of remote sensing technique. Remotely sensed observation by aircraft, satellite, or digital elevation model (DEM) has been used for visual recognition for manual lineament extraction. Automatic approaches using computer science have been proposed to extract lineament more objectively. In this study, we evaluate the characteristics of lineament which is automatically extracted with respect to difference of spatial resolution of DEM. We utilized two types of DEM: one is Shuttle Radar Topography Mission (SRTM) with spatial resolution of about 90 m (3 arc sec), and the other is the latest world DEM of TerraSAR-X add-on for Global DEM with 12 m spatial resolution. In addition, a global DEM was resampled to produce a DEM with a spatial resolution of 30 m (1 arc sec). The shaded relief map was constructed considering various sun elevation and solar azimuth angle. In order to extract lineament automatically, we used the LINE module in PCI Geomatica software. We found that predominant direction of the extracted lineament is about $N15-25^{\circ}E$ (NNE), regardless of spatial resolution of DEM. However, more fine and detailed lineament were extracted using higher spatial resolution of DEM. The result shows that the lineament density is proportional to the spatial resolution of DEM. Thus, the DEM with appropriate spatial resolution should be selected according to the purpose of the study.
Keywords
lineament; automatic extraction; spatial resolution; digital elevation model (DEM); SRTM; TanDEM-X Global DEM;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Abdullah, A. J., M. Akhir, and I. Abdullah, 2010. Automatic mapping of lineaments using shaded relief images derived from Digital Elevation Model(DEMs) in the Maran-Sungi Lembing Area, Malaysia, Electronic Journal of Geotechnical Engineering, 15: 1-9.
2 Chang, M.-C., C.-M. Jun, and Y.-S. Choi, 2003. Creating the Shaded Relief Map using DEM, The Korean Society for Geospatial Information Science International Symposium, Korea, Sep. 26, vol. 2003, pp. 101-106.
3 Choi, W.-H., 2003. Neotectonics of the Gyeongju-Ulsan area in the southeastern part of Korean peninsula, Department of Earth and Environmental Sciences, Seoul National University, Seoul, Korea.
4 Geology map service at Korea Institute of Geoscience And Mineral Resources, https://mgeo.kigam.re.kr/map/geology.jsp, Accessed on Nov. 2, 2017.
5 Han, S.-R., J. Park, and Y.-S. Kim, 2009. Evolution modeling of the Yangsan-Ulsan fault system with stress changes, Journal of the Geological Society of Korea, 45(4): 361-377.
6 Hobbs, W.H., 1904. Lineaments of the Atlantic border region, Geological Society of America Bulletin, 15: 483-506.   DOI
7 Hobbs, W.H., 1912. Earth Features and Their Meaning: An Introduction to Geology for the Student and General Reader, Macmillan, New York, NY, USA.
8 Hong, C.-K., J.-S. Won, and K.-D. Min, 2000. Quantitative Analysis of the Look Direction Bias in SAR Image for Geological Lineament Study, Journal of the Korean Society of Remote Sensing, 16(1): 13-24.
9 Kim, W.-K., J.-S. Won, and S.-W. Kim, 1996. A technique Assessing Lineaments Using Remotely Sensed Data and DEM : Euiseong Area, Kyungsang Basin, Journal of the Korean Society of Remote Sensing, 12(2): 139-154.
10 Hung, L. Q., O. Batelaan, and F. De Smedt, 2005. Lineament extraction and analysis, comparison of LANDSAT ETM and ASTER imagery, Case study: Suoimuoi tropical karst catchment, Vietnam, Proc. of Remote Sensing for Environmental Monitoring, GIS Applications, and Geology V, Bruges, Belgium, Sep. 19-20, vol. 5983.
11 Kim, W.-K., Y.-S. Lee, J.-S. Won, K.-D. Min, and Y. Lee, 1997. A study on lineament analysis along southwestern boundary of Okcheon Zone using the remote sensing and DEM data, Economic and Environmental Geology, 30(5): 459-467.
12 Kocal, A., H. S. Duzgun, and C. Karpuz, 2007. An accuracy assessment methodology for the remotely sensed discontinuities: a case study in Andesite Quarry area, Turkey International Journal of Remote Sensing, 28(17): 3915-3936.   DOI
13 Korea Institute of Geoscience and Mineral Resources, 1998. An investigation and evaluation of capable fault, Korea Institute of Geoscience and Mineral Resources, Daejeon, Korea.
14 Sabins, F. F., 1997. Remote Sensing-Principles and Interpretation, W.H. Freeman and Company, New York, NY, USA.
15 Kusak, M. and K. Krbcova, 2017. Analysis of the Relationship of automatically and manually extracted lineaments from DEM and geologically mapped tectonic faults around the main Ethiopial rift and the Ethiopian highlands, AUC GEOGRAPHICA, 52(1): 5-17.   DOI
16 Lee, B.-J. and S.-W. Choon, 2003. Geological engineering characteristics around the local road passing through the fault system in the north-east direction of the Yangsan area, Proc. of Korean Society for Rock Mechanics and Rock Engineering, Korea, Mar. 1, vol. 2003, pp. 161-172.
17 Lee, S.-B., J.-S. Kim, and C.-Y. Kim, 2008. Accuracy Evaluation of Various Digital Elevation Model including LiDAR DEM, Proc. of Korean Society for Geospatial Information Science Symposium, Korea, Jun. 13, vol. 2008, pp. 254-259.
18 Lee, T.-H. and W.-M. Moon, 2002. Lineament Extraction from Landsat TM, JERS-1 SAR, and DEM for Geological Applications, Proc. of Geoscience and Remote Sensing Symposium, Toronto, Ontario, Canada, Jun. 24-28, vol. 6, pp. 3276-3278.
19 O'leary, D. W., J. D. Friedman, and H. A. Pohn, 1976. Lineament, linear, lineation: some proposed new standards for old terms, Geological Society of America Bulletin, 87(10): 1463-1469.   DOI
20 Won, J.-S., S.-W. Kim, K.-D. Min, and Y. Lee, 1998. A development of automatic lineament extraction algorithm from Landsat TM images for geological applications, Journal of the Korean Society of Remote Sensing, 14(2): 175-195.
21 Yoon, K-.C., M.-H. Kim, K.-W. Lee, and H.-J. Lee, 2008. Reading and understanding of Map, Purungil, Seoul, Korea.