American Journal of Geophysics, Geochemistry and Geosystems
Articles Information
American Journal of Geophysics, Geochemistry and Geosystems, Vol.1, No.1, Apr. 2015, Pub. Date: Apr. 8, 2015
The Delineation of Linear Features from Different Image Resolutions Using Edge Modelling Technique in the Al-Mawasit Area, Taiz, Yemen
Pages: 7-18 Views: 2417 Downloads: 1426
Authors
[01] Shawki Nassr, Geology Department, Faculty of Applied Science, Taiz University, Taiz, Yemen.
[02] Anwar Abdullah, Geology Department, Faculty of Applied Science, Taiz University, Taiz, Yemen.
Abstract
Edges can better be observed and analyzed by using different spatial resolutions of images and different processing techniques. The detection of natural edges in satellite images (bands) of Enhanced Thematic Mappper (ETM) with different resolutions leads to get informations about linear features related to structures in the study area. Edge modelling technique including integrated different filters, SQRT, Delta and convert models was used in this study to enhance the edges in the bands 5,6 and 8 with 30m, 60m and 15m resolutions, respectively. Three coloured edge images were produced using this models from bands 5,6 and 8, respectively. The visual interpretation and overlying technique were used to evaluate these edge images. The pixel distribution of edges produced from band 5 was the better compared with other images and the matching edge lines-true fault lines percentage of coloured edge image produced from band 5 was 75.69% as a highest matching percentage compared with other percentages. 34 linear features were mapped from coloured edge image of the band 5 in the study area, and identified as new faults. This leads to updating and revising existing fault map of the study area. The trends analysis of structural linear features shows the major trends in the NW-SE and NE-SW, respectively. The structural analysis shows the NW-SE was the direction of the tensional deformation acted in the area. The NW-SE and NE-SW linear features seem to be normal and reverse faults respectively, while the N-S and E-W linear features were shear fractures (strike slip faults). Moreover, two fault zones were observed such as Mawasit and Turbah Fault Zones with the NW-SE and NE-SW strikes directions and NW and SE dips directions, respectively. These fault zones resulted from Gulf of Aden and Red Sea Active Rifting Systems effects.
Keywords
Edge, Resolution, Models, Linear Features, Fault Lines
References
[01] Leica Geosystems. (1999). Erdas Imagine 8.5. ERDAS Field Guide. 5th edition. USA: Atlanta: Georgia, Inc.
[02] Jensen J R. (1996). Introductory Digital Image Processing: a remote sensing perspective. 2nd edition. U.S.A: Prentice Hall Inc.
[03] Koike K, Nagano S, Ohmi M. (1995). Lineament Analysis of Satellite Images Using a Segment Tracing Algorithm (STA). Computers & Geosciences, 21 (9), 1091-1104.
[04] Jordan G, Schott B. (2005). Application of Wavelet Analysis to the Study of Spatial Pattern of Morphotectonic Lineaments in Digital Terrain Models. A case study. Remote Sensing of the Environment 94: 31-38.
[05] Gupta R P. (1991).Remote Sensing Geology. Berlin, Heidelberg: Springer-Verlag.
[06] Shorth N M. (2004). Lineaments and Fractures. Remote Sensing Tutorial. http://rst.gsfc.nasa.gov/Sect2/Sect2_8.html. Accessed November 24, 2007.
[07] NASA. (2005). The Remote Sensing Tutorial. Section 1: Image Processing and Interpretation - Morro Bay, California as the Test Image. Spatial filtering. http://rst.gsfc.nasa.gov. Accessed June 25, 2008.
[08] Arlegui LE , Soriano MA. (1998). Characterizing lineaments from satellite image and filed studies in the central Ebro basin ( NE Spain). International Journal of Remote Sensing. 19 (16): 3169-3185.
[09] Masoud A, Koike K. (2006). Tectonic architecture through Landsat-7 ETM+/ SRTM DEM- derived lineaments and relationship to the hydrogeologic setting in Siwa region, NW Egypt.Journal of African Earth Sciences. 45: 467-477.
[10] Mah A, Taylor GR, Lennox P, Balia L.( 1995). Lineament Analysis of Landsat TM Images, Northern Territory, Australia. Photogrammetric Engineering and Remote Sensing. 61(6): 761-773.
[11] Minor T B, Carter J A, Chesley M M, Knowles R B. (1994). An integrated approach to groundwater exploration in developing countries using GIS and remote sensing. Proceedings of the International American Congress on Surveying and Mapping. American Society for Photogrammetry and Remote Sensing. (ACSM/ASPRS) 418-428.
[12] Casas A, Cortes M, Angel L, Maestro A, Soriano, M A, Riaguas A, Bernal J. (2000). A program for lineament length and density analysis. Computers and Geosciences. 26(9-10), 1011-1022.
[13] Koike K, Nagano S, Kawaba K. (1998). Construction and analysis of interpreted fracture planes through combination of satellite-image derived lineaments and digital elevation model data. Computers & Geosciences. 24: 573-583.
[14] Mavrantza O D, Argialas D P. (2003). Implementation and evaluation of spatial filtering and edge detection techniques for lineament mapping – Case study : Alevrada, Center Greece. Proceeding of SPIE International conference on remote sensing. remote sensing for Environment Monitoring, GIS Application, and Geology II. Edited by Ehlers, M. SPIE 4886: 428-717.
[15] Wang J, Howarth P J. (1990). Use of the Hough Transform in Automated Lineament Detection. IEEE Transactions on Geoscience and Remote Sensing. 28( 4): 561-566.
[16] Abdullah A, Akhir M J, Abdullah I. (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: 949–957.
[17] Abullah A, Nassr S, Ghaleeb A. (2013). Landsat ETM-7 for Lineament Mapping using Automatic Extraction Technique in the SW part of Taiz area, Yemen. Global Journals Inc. (USA). 13 :49-52.
[18] Abdullah A, Akhir M J, Abdullah I. (2009). A comparison of landsat TM and SPOT data for lineament mapping in Hulu Lepar area, Pahang, Malaysia. European Journal of Scientific Research. 34: 406–415.
[19] Abdullah A, Akhir M J, Abdullah I. (2010). The extraction of lineaments using slope image derived from digital elevation model: case study of Sungai Lembing-Maran area, Malaysia. Journal of Applied Sciences Research. 6:1745–1751.
[20] Abullah A, Nassr S, Ghaleeb A. (2013). Remote Sensing and Geographic Information System for Fault Segments Mapping a Study from Taiz Area, Yemen. Journal of Geological Research. 2013: 16 . http://dx.doi.org/10.1155/2013/201757.
[21] Kocal A, Duzgun HSB, Karpuz C. (2004). Discontinuity Mapping with Automatic Lineament Extraction from High Resolution Satellite Imagery. Proceedings of 20th Congress of International Society for Photogrammetry and Remote Sensing (ISPRS) 37:1073-1078.
[22] Cortes AL, Soriano M A, Maestros A, Casas AM. (2003) The role of tectonic inheritance in the development of recent fracture systems, Duero Basin, Spain. International Journal of Remote Sensing, 24: 4325-4345.
[23] Gonzalez R, Woods R. (1992). Digital Image Processing. Addison-Wesley Publishing Company.
[24] Sobel I, Feldman G. (1968). A 3x3 Isotropic Gradient Operator for Image Processing, presented at a talk at the Stanford Artificial Project in 1968, unpublished but often cited, orig. in Pattern Classification and Scene Analysis. Duda,R. & Hart,P. John Wiley & Sons. 73:271-272.
[25] Schowengerdt R A. (2007). Remote Sensing: Models and Methods for Image Processing. 3rdedition. New York: Elsevier Academic Press. Inc.
[26] Richards J A, Jia X. (2006). Remote sensing digital image analysis: An introduction. 4th edition. Berlin, Heidelberg: Springer. Verlag.
[27] Geological Survey of Yemen (GSY).( 1990).Geological Map of Taiz Area. Scale 1:250, 000.
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