Landsat ETM-7 for Lineament Mapping Using Automatic Extraction Technique in the SW Part of Taiz Area, Yemen

Landsat ETM-7 for Lineament Mapping Using Automatic Extraction Technique in the SW Part of Taiz Area, Yemen

anwar abdullah

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Shawki Nassr

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Abdoh Ghaleeb

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α Taiz University

Landsat ETM-7 for Lineament Mapping Using Automatic Extraction Technique in the SW Part of Taiz Area, Yemen

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Abstract

The application of remote sensing technology may cover many fields of studies, especially in structure geology, and mineral exploration, where the remote sensing is a useful for lineaments and structure features extractions. Landsat ETM-7 satellite data were used and band -5 was found as the most suitable band in automatic delineation. The automatic lineament extraction process was carried out with LINE module of PCI Geomatica V9.1 based on automatic detection algorithms (canny algorithms). The comparison of the autom-atic lineament extraction and the published fault maps of the area in terms of total length, number of lineaments and directions. The number and the total length of the lineaments using automatic method were found to be more than the number and the total length of the faults in the fault map. The directional analysis of the automatic lineament map was done with the reference of fault map of the area and the structure features measured in the field.

References

9 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

anwar abdullah. 2013. \u201cLandsat ETM-7 for Lineament Mapping Using Automatic Extraction Technique in the SW Part of Taiz Area, Yemen\u201d. Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 13 (GJHSS Volume 13 Issue B3): .

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GJHSS Volume 13 Issue B3
Pg. 35- 38

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Journal Specifications

Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

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Submission ReceivedDecember 15, 2012
Peer Review Double Blind
Handling Editor
Accepted January 2, 2013
Published January 15, 2013

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Issue date

May 18, 2013

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Article Matrices

Total Score: 103

Country: Yemen

Subject: Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management

Authors: Anwar Abdullah, Shawki Nassr, Abdoh Ghaleeb (PhD/Dr. count: 0)

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Total Views: 5111

Total Downloads: 2562

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