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COMPARING MULTIPLE SOURCE SPATIAL DATA FOR LANDSLIDE MAPPING

    DOI: 10.5592/CO/HG.2026.38

    Autori: MARIJAN CAR

    Sažetak:
    When a landslide occurs, one of the most challenging tasks is to provide detailed maps for area analysis, enabling geotechnical engineers, other experts, and authorities to determine appropriate protection and remediation measures. For such analysis, it is important to obtain a comprehensive view of both the landslide area and the surrounding terrain. This paper presents multiple mapping data sets for the landslide that occurred in the village of Gornja Plemenšćina, Croatia. Spatial data used for the analysis of this landslide were generated from four independent sources. The first source is spatial data collected using a classical geodetic surveying method with a GPS RTK device. The next two sources are spatial data collected using modern, advanced surveying methods with UAS, employing two different types of sensors: an RGB camera for photogrammetry and a LiDAR sensor. The fourth spatial data set is LiDAR data provided by the Croatian State Geodetic Administration. The analysis of all these spatial data sets, combined and merged into a single map, compares the advantages and disadvantages of each data set used for landslide mapping.

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