INVESTIGATION OF FAULT AND FRACTURES OF GREAT KAVIR FAULT ZONE (TORBAT-E- HEDARIEH, KASHMAR, KHARTORAN) BASED ON THE SATELLITE IMAGES PROCESSING

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YAZDANBAKHSH SHIVA; ALMASIAN MAHMOUD; SOLTANI MAHYAR; AZIZ ZADE MEHRAN

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Journal: JOURNAL OF THE EARTH Year:2012 | Volume:7 | Issue:24 Page(s): 227-236

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Title

INVESTIGATION OF FAULT AND FRACTURES OF GREAT KAVIR FAULT ZONE (TORBAT-E- HEDARIEH, KASHMAR, KHARTORAN) BASED ON THE SATELLITE IMAGES PROCESSING

Author(s)

YAZDANBAKHSH SHIVA | ALMASIAN MAHMOUD | SOLTANI MAHYAR | AZIZ ZADE MEHRAN | Issue Writer Certificate

Keywords

STRUCTURAL FRACTURESQ2

GREAT KAVIR FAULTQ2

REMOTE SENSING METHODSQ2

LANDSAT ETM++Q2

RGBQ2

PCAQ2

Abstract

The purpose of this study is to detect STRUCTURAL FRACTURES utilizing Landsat satellite data. Based on the regional fault-related morphologies, different techniques were utilized to detect fault lines and fractures. Several image (159-35, 159-36, 160-35, 160-36, 161-35, and 161-36) taken by LANDSAT ETM++images were used. The first method for detection of fault lines, lithological interruption and displacements due to faulting was the RGB technique and Grayscale images. In addition, to optimize the RGB composition, the OIF (Optimum Index Factor) formula was applied. In the next step, the resulting image merged with panchromatic band for increase the spatial resolution. The third utilized method was the NDVI technique, which was used to reconstruct the vegetation in studied region. The forth technique was applying Sunangel directional filters to detect sharp edges and fault lines. As the fifth method, the Digital Elevation Model (DEM) of under study region was shined with virtual sun light from different geographic directions using Sun-shading technique and the resulting image were used to detect linear fault-related valleys and ridges. In addition, Digital Elevation Model (DEM) was utilized to develop a 3D view of the region. The sixth method was the Principal Component Analysis (PCA), after which the PC1 was selected as the most suitable component for detecting fault lines. The seventh applied method was the Band Ratio technique, which was implemented in two steps. First, each fault line was detected separately in Grayscale images. Second, all fault lines were detected together in one RGB false color composite. Finally the Structural Map of GREAT KAVIR FAULT was constructed using the fractures detected by the above mentioned techniques.

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References

STRUCTURAL ANALYSIS OF TABRIZ FAULT BY USING REMOTE SENSING DATA

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APA: Copy

YAZDANBAKHSH, SHIVA, ALMASIAN, MAHMOUD, SOLTANI, MAHYAR, & AZIZ ZADE, MEHRAN. (2012). INVESTIGATION OF FAULT AND FRACTURES OF GREAT KAVIR FAULT ZONE (TORBAT-E- HEDARIEH, KASHMAR, KHARTORAN) BASED ON THE SATELLITE IMAGES PROCESSING. JOURNAL OF THE EARTH, 7(24), 227-236. SID. https://sid.ir/paper/193004/en

Vancouver: Copy

YAZDANBAKHSH SHIVA, ALMASIAN MAHMOUD, SOLTANI MAHYAR, AZIZ ZADE MEHRAN. INVESTIGATION OF FAULT AND FRACTURES OF GREAT KAVIR FAULT ZONE (TORBAT-E- HEDARIEH, KASHMAR, KHARTORAN) BASED ON THE SATELLITE IMAGES PROCESSING. JOURNAL OF THE EARTH[Internet]. 2012;7(24):227-236. Available from: https://sid.ir/paper/193004/en

IEEE: Copy

SHIVA YAZDANBAKHSH, MAHMOUD ALMASIAN, MAHYAR SOLTANI, and MEHRAN AZIZ ZADE, “INVESTIGATION OF FAULT AND FRACTURES OF GREAT KAVIR FAULT ZONE (TORBAT-E- HEDARIEH, KASHMAR, KHARTORAN) BASED ON THE SATELLITE IMAGES PROCESSING,” JOURNAL OF THE EARTH, vol. 7, no. 24, pp. 227–236, 2012, [Online]. Available: https://sid.ir/paper/193004/en

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