The Use of an Unmanned Aerial Vehicle (UAV) for First-Failure Landslide Detection
Author:
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
Funder
Next Generation EU—Italian NRRP
project Tech4You
Project SOIL SHADES
Finanziato dall’Unione Europea—Next Generation EU—CUP
Publisher
MDPI AG
Link
https://www.mdpi.com/2624-795X/5/3/35/pdf
Reference49 articles.
1. Petrucci, O. (2022). Landslide Fatality Occurrence: A Systematic Review of Research Published between January 2010 and March 2022. Sustainability, 14.
2. Landslide causative factors evaluation using GIS in the tectonically active Glafkos River area, northwestern Peloponnese, Greece;Bathrellos;Geomorphology,2024
3. Calista, M., Miccadei, E., Piacentini, T., and Sciarra, N. (2019). Morphostructural, Meteorological and Seismic Factors Controlling Landslides in Weak Rocks: The Case Studies of Castelnuovo and Ponzano (North East Abruzzo, Central Italy). Geosciences, 9.
4. Factors controlling the spatial distribution of coseismic landslides triggered by the Mw 6.1 Ludian earthquake in China;Zou;Eng. Geol.,2022
5. Review on Application of Drone Systems in Precision Agriculture;Mogili;Procedia Comput. Sci.,2018
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