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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

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Research and review articles are invited for publication in January 2026 (Volume 18, Issue 1)

Automating Multi-Directional Oblique Weighted Hillshade in QGIS with the Graphical Modeler

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  • Automating Multi-Directional Oblique Weighted Hillshade in QGIS with the Graphical Modeler

Moses Tangwam *

College of Forest Resources and Environmental Science, Michigan Technological University, USA.

Research Article

International Journal of Science and Research Archive, 2025, 17(03), 395-401

Article DOI: 10.30574/ijsra.2025.17.3.3250

DOI url: https://doi.org/10.30574/ijsra.2025.17.3.3250

Received on 04 November 2025; revised on 10 December 2025; accepted on 12 December 2025

Hillshade remains one of the most popular cartographic techniques for visualizing terrain. However, using a single light direction often exaggerates slopes facing away from the light source while reducing detail on illuminated slopes. Multi-Directional Oblique Weighted (MDOW) hillshading minimizes these artifacts by combining multiple hillshades from different illumination azimuths into a single composite image.

This methods paper explains a reproducible workflow for generating MDOW hillshade using the QGIS Graphical Modeler. The approach integrates all parameters, the input DEM, hillshade directions, and the raster calculator expression into a single reusable model. The model can be run on any DEM without manual reconfiguration, supports batch processing of tiled datasets, and can be extended or modified by other QGIS users. The paper targets GIS practitioners who regularly work with elevation data and seek to standardize their terrain-visualization workflows.

QGIS; Graphical Modeler; MDOW hillshade; DEM; Cartographic visualisation

https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2025-3250.pdf

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Moses Tangwam. Automating Multi-Directional Oblique Weighted Hillshade in QGIS with the Graphical Modeler. International Journal of Science and Research Archive, 2025, 17(03), 395-401. Article DOI: https://doi.org/10.30574/ijsra.2025.17.3.3250.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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