Journal metrics

Journal metrics

  • IF value: 1.319 IF 1.319
  • IF 5-year value: 1.299 IF 5-year 1.299
  • CiteScore value: 1.27 CiteScore 1.27
  • SNIP value: 0.740 SNIP 0.740
  • SJR value: 0.598 SJR 0.598
  • IPP value: 1.21 IPP 1.21
  • h5-index value: 12 h5-index 12
  • Scimago H index value: 6 Scimago H index 6
Discussion papers | Copyright
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 02 Oct 2018

Research article | 02 Oct 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Instrumentation, Methods and Data Systems (GI).

Integration of Remote Sense and Geographic Information Systems in Geological Faults Detection in Crete Island, Greece

Mohamed Elhag1 and Dalal Alshamsi2 Mohamed Elhag and Dalal Alshamsi
  • 1Department of Hydrology and Water Resources Management, Faculty of Meteorology, Environment & Arid Land Agriculture, King Abdulaziz University Jeddah, 21589, Saudi Arabia
  • 2Department of Geology, College of Science, United Arab Emirates University, Abu Dhabi, United Arab Emirates

Abstract. Fracture systems are of great importance in the field of structural geology. Faults commonly afford easy passage to groundwater and fluids such as hydrothermal fluids and magmas (mineral entrapment over the years) or even contribute in earthquake hazard monitoring. For a geologist, it is not always easy to discern such morphotectonic structures at close range (i.e. heavy overgrowth of vegetation). Both remote sensing techniques and spatial modeling (GIS) permit the recognition and better understanding of the brittle tectonics in an area. This study was an effort to delineate the tectonic structures (i.e. fault system) on the Crete Islands by combining Sentinel-2 satellite data and spatial data. For the enhancement and better discrimination of photolineaments primarily recognized on satellite imagery, a variety of enhancement techniques have been applied. The evaluation of a photolineament as a potential fracture zone was based on several factors; the DEM of the study area, the shaded relief, the slopes, and corresponding aspects, the drainage network, the geology and general observations on vegetative coverage appearance. The application of these methods revealed several fracture zones, which we recommend being certified by field investigations. Fault-mapping results may be used for a variety of purposes. Indicative places of large concentration of groundwater are of vital importance for subsequent exploitation by areas of need. Furthermore, because the well-known Anatolian fault zone extends over the Northern part of Crete, the present work may provide useful information for further analysis by geophysicists and seismologists.

Mohamed Elhag and Dalal Alshamsi
Interactive discussion
Status: open (until 27 Nov 2018)
Status: open (until 27 Nov 2018)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Mohamed Elhag and Dalal Alshamsi
Mohamed Elhag and Dalal Alshamsi
Total article views: 93 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
76 15 2 93 0 1
  • HTML: 76
  • PDF: 15
  • XML: 2
  • Total: 93
  • BibTeX: 0
  • EndNote: 1
Views and downloads (calculated since 02 Oct 2018)
Cumulative views and downloads (calculated since 02 Oct 2018)
Viewed (geographical distribution)
Total article views: 93 (including HTML, PDF, and XML) Thereof 93 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
No saved metrics found.
No discussed metrics found.
Latest update: 16 Oct 2018
Publications Copernicus
Short summary
The article deals with the designation of fault detection in Crete island. The delineation is based on the integration method of remote sensing and GIS. The crucial finding is how to differentiate between the faults and the water streams. The results showed a robust approach to fault detection.
The article deals with the designation of fault detection in Crete island. The delineation is...