The Potential of UAV-Acquired Photogrammetric and LiDAR-Point Clouds for Obtaining Rock Dimensions as Input Parameters for Modeling Rockfall Runout Zones

The Potential of UAV-Acquired Photogrammetric and LiDAR-Point Clouds for Obtaining Rock Dimensions as Input Parameters for Modeling Rockfall Runout Zones

Rockfalls present a significant hazard to human activities; therefore, their identification and knowledge about potential spatial impacts are important in planning protection measures to reduce rockfall risk. Remote sensing with unmanned aerial vehicles (UAVs) has allowed for the accurate observatio...

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Bibliographic Details
Main Authors: Barbara Žabota, Frédéric Berger, Milan Kobal
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Drones
Subjects:
rockfall
UAV
LiDAR
photogrammetry
modeling
input parameters
Online Access:https://www.mdpi.com/2504-446X/7/2/104

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