Presentation + Paper
19 October 2023 UAV photogrammetry and in situ measurements for mass wasting monitoring in a steep cliff
Author Affiliations +
Abstract
Sediment shortage during beach mass wasting over the period of climate change is a societal challenge since the sea level rises. In complex geophysical coastal systems like the Lefkada west coast, our ability to address temporal and spatial changing is beyond the detection of impacts. The question is crucial in areas where shorelines may retreat due to the geomorphology, sea level rise and seismic activity. In 2003 and 2015, two strong earthquakes affected Lefkada Island, leading to extensive translational debris slides across the island's west coast increasing mass wasting of the overhanging cliff. Key elements in this area are the Cephalonia Fault Zone, the seismicity, climatic loading, and forestation or deforestation. We monitor this coast with photogrammetry based on traditional historic air photos, UAV flight campaigns, GIS based model like the RUSLE, and field verification of mass wasting with the installation of a sediment trap on the upper sector of the Egremni cliff. The high-resolution images acquired by the UAV were used for the creation of orthophoto maps and Digital Surface Models (DSMs) of the cliff during different periods. Based on the remote sensing data and in field data analyses we concluded that among the processes increasing the sediment feeder is the massive co-seismic sliding during strong earthquakes above magnitude six, and the increase of mass wasting above magnitude four during interseismic periods. These threshold intensities affect sediment shortage across the coast of the island.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Ioannis K. Koukouvelas, Georgios Pappas, Aggeliki Kyriou, Dionysios N. Apostolopoulos, and Konstantinos G. Nikolakopoulos "UAV photogrammetry and in situ measurements for mass wasting monitoring in a steep cliff", Proc. SPIE 12734, Earth Resources and Environmental Remote Sensing/GIS Applications XIV, 127340X (19 October 2023); https://doi.org/10.1117/12.2679403
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KEYWORDS
Earthquakes

Unmanned aerial vehicles

Rain

Soil science

Climatology

Landslides

Remote sensing

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