Abstract
Abstract. Steep hill slopes in the Bavarian Alps and at an artificial waste dump on the Island of Elba are subject to soil erosion through geomorphological processes. Long-term high-resolution terrestrial LiDAR data are available and have been analysed for both areas. The analysis indicated different erosion patterns on the slopes that could be the result of different geomorphological processes. Additionally, both study sites show a good agreement between the annual erosion rates and the size of the hydrological catchment as a proxy for the sediment contributing area. The results presented in this study represent the first analysis of hill slope erosion measured with LiDAR and UAV systems. The hill slope erosion will be subject to measurements using a higher temporal resolution during future years in order to identify different erosion processes throughout the annual time step.
Highlights
Due to its process intensity, fluvial erosion plays a major role in the geomorphic system (Bryan 2000)
In the Lainbach valley catchment the eroded material is acting as possible debris flow material in the channel heads, whereas the eroded material at Rio Marina is polluted with heavy metals and is situated close to the Tyrrhenian Sea
The analysis showed erosion by rill erosion and small-scale debris flow, which confirms the installation of debris blockers at the slopes
Summary
Due to its process intensity, fluvial erosion plays a major role in the geomorphic system (Bryan 2000). Various studies have investigated slope erosion on steep slopes Most of these used classic measurement methods, e.g. erosion pins or sediment traps (cf Becht 1995; Sirvent et al, 1997; Evans & Warburton 2005; Clarke & Rendell 2006; Haas & Heckmann 2007; Haas 2008; Della Seta et al, 2009). These methods are error-prone as the natural processes on the target slopes are potentially influenced by the installed traps or pins. This hampers interpretation and the transferability of the results, with regard to the understanding of the interactions of the key processes (Haas, 2008)
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