UAV, GNSS, and GIS for the Rapid Assessment of Multi-Occurrence Landslides

Intense long-duration rainfall or extreme precipitation in a few hours can provoke many simultaneous shallow landslides. In the past, the term multi-occurrence regional landslides (MORLEs) was proposed to describe such phenomena. In the current study, unmanned aerial vehicles in combination with a g...

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Bibliographic Details
Published inGeosciences (Basel) Vol. 14; no. 6; p. 160
Main Authors Nikolakopoulos, Konstantinos G, Kyriou, Aggeliki, Koukouvelas, Ioannis K
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2024
Subjects
Analysis
Assessments
Clay
Daily precipitation
Drone aircraft
Extreme weather
Geographic information systems
Geographical information systems
Geological mapping
Geology
Global navigation satellite system
Information systems
landslide
Landslides
Landslides & mudslides
Lithology
Meteorological data
Methods
MORLEs
Navigation
Navigation satellites
Navigation systems
Navigational satellites
Photogrammetry
Precipitation
Rainfall
Remote sensing
Satellites
Typhoons
UAV
Unmanned aerial vehicles
Greece
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Summary:Intense long-duration rainfall or extreme precipitation in a few hours can provoke many simultaneous shallow landslides. In the past, the term multi-occurrence regional landslides (MORLEs) was proposed to describe such phenomena. In the current study, unmanned aerial vehicles in combination with a global navigation satellite system sensor and geographical information systems seem to be the ideal solution for the rapid assessment of many landslides occurring in Aitoloakarnania Prefecture, Western Greece. Fourteen landslides were accurately mapped within a few working days, and precise orthophotos and reports were created and submitted to the local authorities. The analysis of meteorological data proved that there is a peak in precipitation height that triggers the MORLEs in the specific area. Specifically, the value of the daily precipitation was defined at 80 mm.
ISSN:2076-3263
2076-3263
DOI:10.3390/geosciences14060160