Volume IV-4/W4
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W4, 63-71, 2017
https://doi.org/10.5194/isprs-annals-IV-4-W4-63-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W4, 63-71, 2017
https://doi.org/10.5194/isprs-annals-IV-4-W4-63-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  13 Nov 2017

13 Nov 2017

APPLICATION OF REMOTE SENSING IN GEOLOGICAL MAPPING, CASE STUDY Al MAGHRABAH AREA – HAJJAH REGION, YEMEN

F. Al-Nahmi1, O. Saddiqi1, A. Hilali1, H. Rhinane1, L. Baidder1, H. El arabi1, and K. Khanbari2 F. Al-Nahmi et al.
  • 1Laboratory Geosciences, Department of Geology, Faculty of Sciences, Hassan II University Casablanca, Morocco
  • 2Yemen Remote Sensing and GIS Centre, Sana’a University, Yemen

Keywords: Satellite imagery, Geological map, Sentinel-2, OIF, ICA, MNF, Yemen

Abstract. Remote sensing technology plays an important role today in the geological survey, mapping, analysis and interpretation, which provides a unique opportunity to investigate the geological characteristics of the remote areas of the earth's surface without the need to gain access to an area on the ground. The aim of this study is achievement a geological map of the study area. The data utilizes is Sentinel-2 imagery, the processes used in this study, the OIF Optimum Index Factor is a statistic value that can be used to select the optimum combination of three bands in a satellite image. It’s based on the total variance within bands and correlation coefficient between bands, ICA Independent component analysis (3, 4, 6) is a statistical and computational technique for revealing hidden factors that underlie sets of random variables, measurements, or signals, MNF Minimum Noise Fraction (1, 2, 3) is used to determine the inherent dimensionality of image data to segregate noise in the data and to reduce the computational requirements for subsequent processing, Optimum Index Factor is a good method for choosing the best band for lithological mapping. ICA, MNF, also a practical way to extract the structural geology maps. The results in this paper indicate that, the studied area can be divided into four main geological units: Basement rocks (Meta volcanic, Meta sediments), Sedimentary rocks, Intrusive rocks, volcanic rocks. The method used in this study offers great potential for lithological mapping, by using Sentinel-2 imagery, the results were compared with existing geologic maps and were superior and could be used to update the existing maps.