Applicability of computer-aided comprehensive tool (LINDA: LINeament Detection and Analysis) and shaded digital elevation model for characterizing and interpreting morphotectonic features from lineaments. (September 2017)

• Record Type: Journal Article
• Authors: Masoud, Alaa; Koike, Katsuaki
• Is Part Of: Computers & geosciences. Volume 106(2017)
• Page Start: 89
• Page End: 100
• Publication Date: 2017-09
• Subjects: DEM shading -- Segment Tracing Algorithm -- Segment grouping -- Fault geometry estimation -- Eastern Desert (Egypt); Environmental policy -- Periodicals; 550.5
• DOI: 10.1016/j.cageo.2017.06.006
• Languages: English
• ISSNs: 0098-3004

Abstract

Abstract: Detection and analysis of linear features related to surface and subsurface structures have been deemed necessary in natural resource exploration and earth surface instability assessment. Subjectivity in choosing control parameters required in conventional methods of lineament detection may cause unreliable results. To reduce this ambiguity, we developed LINDA (LINeament Detection and Analysis), an integrated tool with graphical user interface in Visual Basic. This tool automates processes of detection and analysis of linear features from grid data of topography (digital elevation model; DEM), gravity and magnetic surfaces, as well as data from remote sensing imagery. A simple interface with five display windows forms a user-friendly interactive environment. The interface facilitates grid data shading, detection and grouping of segments, lineament analyses for calculating strike and dip and estimating fault type, and interactive viewing of lineament geometry. Density maps of the center and intersection points of linear features (segments and lineaments) are also included. A systematic analysis of test DEMs and Landsat 7 ETM+ imagery datasets in the North and South Eastern Deserts of Egypt is implemented to demonstrate the capability of LINDA and correct use of its functions. Linear features from the DEM are superior to those from the imagery in terms of frequency, but both linear features agree with location and direction of V-shaped valleys and dykes and reference fault data. Through the case studies, LINDA applicability is demonstrated to highlight dominant structural trends, which can aid understanding of geodynamic frameworks in any region. Highlights: VB software LINDA is developed for lineament detection and analysis from grid data. Source grids are DEMs, gravity, magnetic, and satellite imagery data. GUI enables shading, detection, grouping, fault geometry estimation & visualization. LINDA performed well and highlighted the geodynamic framework of the test areas.