Volume XLII-2/W1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W1, 137-142, 2016
https://doi.org/10.5194/isprs-archives-XLII-2-W1-137-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W1, 137-142, 2016
https://doi.org/10.5194/isprs-archives-XLII-2-W1-137-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  26 Oct 2016

26 Oct 2016

USING REMOTE SENSING FOR LINEAMENT EXTRACTION IN Al MAGHRABAH AREA - HAJJAH, YEMEN

F. Al-Nahmi1, O. B. Alami2, L. Baidder1, K. Khanbari3, H. Rhinane1, and A. Hilali1 F. Al-Nahmi et al.
  • 1Laboratory Geosciences, Department of Geology, Faculty of Sciences, Hassan II University Casablanca, Morocco
  • 2Hassania School of Public Works, Morocco
  • 3Yemen Remote Sensing and GIS Centre, Sana’a University, Yemen

Keywords: Remote sensing, lineament extraction, Landsat 8_OLI, MNF, PCA, Yemen

Abstract. Remote sensing and GIS data have become more and more important for the study of geology, structural geology and extract of lineament which give us an overview of the tectonic events. The main objective of our study is to design a method for extracting and mapping of lineament from Landsat 8_OLI satellite images of the study area. Different processing techniques were used to achieve our objective : MNF Minimum Noise Fraction bands (4,5,6), Color composites (7,5,3), PCA Principal Component Analysis bands (4,5,7), band ratios (7/5,6/4,4/2), directional filters, and image processing applied on the Landsat 8_OLI composite colours. The results of this study indicate that, the area is really affected by several structural trends: N-S, NW–SE, and NE–SW directions. The result of lineament analysis gives us a good interpretation of the main structural geology and tectonic forces.