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The paper focuses on identifying potential landslide zones through the application of a digital terrain model (DTM) produced by LiDAR field scanning, processed with algorithms designed to generate a landslide model or spatial data products leading to that goal. Landslide identification based on spatial data is a process that can be carried out in three ways depending on the level of human factor involvement in identifying the phenomenon. These three levels can be classified as manual, semi-automatic and automatic landslide identification. Each level is characterized by a different duration of the process on the one hand and differently level of trust on the other hand. Greater involvement of the human factor basically means a higher level of confidence in the obtained results. However, this also means a longer duration of the process of identification and subjectivity in the analysis. Which level of human involvement should be implemented often depends on the size of the area being analyzed and the purpose of the results. The Pologi region in Macedonia is analyzed as a case study. The obtained results have been verified in relation to the existing data on landslides for the region that is the subject of research.
