Presentation + Paper
13 November 2024 Landslide monitoring: recent technologies and new perspectives
Ioannis K. Koukouvelas, Konstantinos G. Nikolakopoulos, Aggeliki Kyriou
Author Affiliations +
Abstract
On 30th December 2021, at midnight, a landslide affected a short catchment that drains a steep slope in North Peloponnese. The Rodini landslide includes dry siliceous and siliciclastic rocks, and limestones, broken into angular rock deposits. Formations that participated in the landslide belong to the strongly deformed Pindos unit. Rodini landslide is significant because it is located at a short distance (<80 m) from the national motorway to Athens. For the landslide history description, we use a remote sensing approach and fieldwork. In particular, the remote sensing approach, over the past few years, based on the development of new platforms such as Unmanned Aerial Vehicles, and innovative processing techniques such as computer vision opened up new horizons and perspectives in landslide history and evolution. These innovative methodologies are applicable for landslide monitoring and are effective in terms of cost and time since based on robust and automated approaches. Nine orthophoto maps and two UAV flights were used to classify this landslide as spontaneous since it happened due to the intense lithological, hydrological, and mechanical differences between the siliceous and calcareous rocks of the Pindos unit. This landslide occurred during a dry period with no significant earthquake or human construction activity. Thus based on the history of the landslide it is classified as a spontaneous landslide characterized by about 50 years of high mass wasting, 25 years of stability and forestation before its reactivation on December 2021.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Ioannis K. Koukouvelas, Konstantinos G. Nikolakopoulos, and Aggeliki Kyriou "Landslide monitoring: recent technologies and new perspectives", Proc. SPIE 13197, Earth Resources and Environmental Remote Sensing/GIS Applications XV, 131970H (13 November 2024); https://doi.org/10.1117/12.3031580
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KEYWORDS
Orthophoto maps

Earthquakes

Rain

Unmanned aerial vehicles

Remote sensing

Meteorology

Satellites

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