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Potential of airborne LiDAR data in detecting cultural landscape features in Slovakia

Juraj Lieskovský, T. Lieskovský, K. Hladíková, D. Štefunková and N. Hurajtová

Landscape Research, 2022, vol. 47, issue 5, 539-558

Abstract: High-resolution Light Detection and Ranging (LiDAR) scanners provide detailed information on terrain surfaces, thus enabling the detection of the topographic signatures of historical anthropogenic landforms overgrown by trees or covered by the soil surface. This study aimed to examine the potential of incoming nationwide LiDAR data for detecting the cultural landscape features in Slovakia. We derived a detailed digital elevation model from LiDAR points and adopted upgraded visualisation techniques based on the combination of local relief models, sky view factor, slope steepness, and colour blending. We visually identified examples of different anthropogenic landforms and confirmed our findings with existing literature. In addition, we provide examples of previously unknown historical anthropogenic landforms discovered from LiDAR images. Finally, we discuss the potential and limits of LiDAR data in exploring and protecting different groups of historic anthropogenic landforms as remnants of past cultural landscapes in Slovakia.

Date: 2022
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Citations: View citations in EconPapers (2)

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DOI: 10.1080/01426397.2022.2045923

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