The Use of an Unmanned Aerial Vehicle (UAV) for First-Failure Landslide Detection

Author:

Mercuri Michele1ORCID,Biondino Deborah1,Ciurleo Mariantonietta1,Cofone Gino1ORCID,Conforti Massimo1ORCID,Gullà Giovanni1,Stellato Maria Carmela2ORCID,Borrelli Luigi1ORCID

Affiliation:

1. National Research Council of Italy, Research Institute for Geo-Hydrological Protection (CNR-IRPI), 87036 Rende, CS, Italy

2. Independent Researcher, Via Assunta 8, 87040 Marano Marchesato, CS, Italy

Abstract

The use of unmanned aerial vehicles (UAVs) can significantly assist landslide detection and characterization in different geological contexts at a detailed scale. This study investigated the role of UAVs in detecting a first-failure landslide occurring in Calabria, South Italy, and involving weathered granitoid rocks. After the landslide event, which caused the interruption of State Road 107, a UAV flight was carried out to identify landslide boundaries and morphological features in areas where there are problems of safe access. The landslide was classified as flow-type, with a total length of 240 m, a maximum width of 70 m, and a maximum depth of about 6.5 m. The comparison of the DTMs generated from UAV data with previously available LIDAR data indicated significant topographic changes across the landslide area. A minimum negative value of −6.3 m suggested material removal at the landslide source area. An approximate value of −2 m in the transportation area signified bed erosion and displacement of material as the landslide moved downslope. A maximum positive value of 4.2 m was found in the deposition area. The landslide volume was estimated to be about 6000 m3. These findings demonstrated the effectiveness of UAVs for landslide detection, showing their potentiality as valuable tools in planning further studies for a detailed landslide characterization and for defining the most appropriate risk mitigation measures.

Funder

Next Generation EU—Italian NRRP

project Tech4You

Project SOIL SHADES

Finanziato dall’Unione Europea—Next Generation EU—CUP

Publisher

MDPI AG

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