Automatic detection of near surface geological and hydrological features and investigating their influence on groundwater accumulation and salinity in southwest Egypt using remote sensing and GIS

Samy Ismail Elmahdy, Mohamed Mostafa Mohamed

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

This study employs two automated algorithms, the topographic fabric and the deterministic eight-node (D8), to reveal near surface geological fractures and their associated paleodrainages network from a 90 m DEM of the Shuttle Topographic Radar Mission sensor. The topographic fabric algorithm, which calculates the slope and aspect which define a vector normal to the earth’s surface and then compute direction cosines of normal vector at each point, was used to auto-detect fault zones. The deterministic eight-node (D8) algorithm, which determines in which neighbouring pixel any water in a central pixel will flow naturally, was used to delineate paleodrainages concealed beneath sand sheets. Seven sets of geological structures were recognized. Their major trends were found to be in the S46°W, S58°W, S81°W, N107°W, N–S, E–W and N152°W and share similar trends of the revealed paleodrainages. The results suggest a strong spatial relationship between the features extracted from DEM and groundwater potential.

Original languageEnglish
Pages (from-to)132-144
Number of pages13
JournalGeocarto International
Volume30
Issue number2
DOIs
Publication statusPublished - Feb 7 2015

Keywords

  • Egypt
  • GIS
  • SRTM DEM
  • Tuashka
  • groundwater
  • remote sensing

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Water Science and Technology

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