LINDENS: A program for lineament length and density analysis

Published

November 1, 2000

Author(s)

Antonio M. Casas, Angel Cortes, Adolfo Maestro, M. Asuncion Soriano, Andres Riaguas, Javier Bernal

Abstract

Analysis of lineaments from satellite images normally includes the determination of their orientation and density. The spatial variation in the orientation and/or number of lineaments must be obtained by means of a network of cells, the lineaments included in each cell being analysed separately. The program presented in this work, LINDENS, allows the density of lineaments (number of lineaments per km2 and length of lineaments per km2) to be estimated. It also provides a tool for classifying the lineaments contained in different cells, so that their orientation can be represented in frequency histograms and/or rose diagrams. The input file must contain the planar coordinates of the beginning and end of each lineament. The density analysis is done by creating a network of square cells, and counting the number of lineaments that are contained within each cell, that have one of their ends within the cell or that cross-cut the cell boundary. The lengths of lineaments are then calculated. To obtain a representative density map the cell size must be fixed according to: (1) the average lineament length; (2) the distance between the lineaments; and (3) the boundaries of zones with low densities due to lithology or outcrop features. An example from the Neogene Duero Basin (Northern Spain) is provided to test the reliability of the density maps obtained with different cell sizes.

Citation

Computers & Geosciences

Volume

26

Issue

9-10

Pub Type

Journals

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DOI Link

Keywords

Lineament, Density map, Directional analysis, Satellite images, Duero Basin, Fortran

Citation

Casas, A. , Cortes, A. , Maestro, A. , Soriano, M. , Riaguas, A. and Bernal, J. (2000), LINDENS: A program for lineament length and density analysis, Computers & Geosciences, [online], https://doi.org/10.1016/S0098-3004(00)00017-0 (Accessed October 1, 2025)