LiDAR-based DEM visual interpretation as a tool for landslide mapping – example of problems with landslide identification and its verification with electrical resistivity tomography

Paweł Kroh; Marta Kondracka; Dariusz Ignatiuk

doi:10.12657/landfana-044-002

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LiDAR-based DEM visual interpretation as a tool for landslide mapping – example of problems with landslide identification and its verification with electrical resistivity tomography

Landform Analysis

Volume 44 (2025): Issue 1 (December 2025)

By: Paweł Kroh , Marta Kondracka and Dariusz Ignatiuk

Open Access

|Dec 2025

Abstract

LiDAR-based Digital Elevation Models (DEM) have become one of the most valuable sources for landslide mapping. However, the delineation of landforms is not always clear. The study aims to apply DEM for landslide mapping, verified through field investigations and geophysical surveys. Visual interpretation of DEM, manual vectorization, and electrical resistivity tomography (ERT) profiles was performed in this research. While visual interpretation proves to be a highly effective method, it is not without limitations. ERT has demonstrated strong potential as a point-specific validation tool, but has limitations on shallow landslides. The study also highlights that even the highest resolution of DEM data cannot fully capture the complexity of landslide landforms.

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Articles in this issue

DOI: https://doi.org/10.12657/landfana-044-002 | Journal eISSN: 1429-799X

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Language: English

Page range: 43 - 56

Submitted on: Nov 4, 2025

Accepted on: Dec 5, 2025

Published on: Dec 5, 2025

Published by: Association of Polish Geomorphologists

In partnership with: Paradigm Publishing Services

Keywords:

electrical resistivity tomography,

Gorce Mountains,

Carpathian Mountains

Related subjects:

Geosciences,

Geology and mineralogy,

Geography,

Remote sensing,

Geosciences, other

© 2025 Paweł Kroh, Marta Kondracka, Dariusz Ignatiuk, published by Association of Polish Geomorphologists
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 44 (2025): Issue 1 (December 2025)