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G.C. Herman, PhD May 18, 2026

SRTM DTM LINEAR-FEATURE GENERATOR (Console v4.0) User Guide

Download SRTM_DTM_Linear-Feature_Generator-v4.exe (144 MB)


Alamo Astrobleme

 INTRODUCTION

The SRTM_DTM_Linear-Feature_Generator-v4.exe  is a specialized structural geology tool designed to generate lines corresponding to linear surface features identified in the Space Shuttle Radar Tomography (SRTM), word-wide (80%) data set (www.earthdata.nasa.gov/data/instruments/srtm). SRTM are discretized elevation data provided to the public through a United State Geological Survey (USGS) internet portal (www.earthexplorer.usgs.gov/). SRTM data are downloaded as grayscale, 32-bit, 1 Arc-second, GeoTIFF files. This program is a MS Windows executable version of a python script that uses Line Segment Detection (LSD) to map sharp topographic breaks in these digital terrain data or other TIFF image. Please refer to Ehret and Morel (2024) for a modern review of LSD methods.

PROGRAM INPUT

Double click on the program, wait for it to load, then follow the prompts. The program first prompts for the input image, then analyzes the elevation data and generates line segments corresponding to topographic ridges and scarps following the chosen tuning parameters for the LSD algorithm. 

Program options

PROGRAM OUTPUT

The program outputs a copy o f the TIFF with the line segments as colored pixels and a QGIS geopackage (*.gpkg) that can be dropped directly onto the active screen of a project to add the vectorized shapes, as exemplified below with a QGIS screen display highlighting variable program outputs from changing the internal scaling (0.1-->0.2) and angle of continuity (40-->30).

Subury Astrobleme SRTM tracing comparison

Try adjusting each of the four tuning parameters to achieve optimal results. Use at your own risk. This program is provided free of charge.

 8. REFERENCE

Ehret, Thibaud,  and Morel, Jean-Michel, 2024, Line Segment Detection: a Review of the 2022 State of the Art, Image Processing On Line, Volume 14,
pp. 41–63. https://doi.org/10.5201/ipol.2024.481