Using an Unmanned Aerial Vehicle-Based Digital Imaging System to Derive a 3D Point Cloud for Landslide Scarp Recognition

Using an Unmanned Aerial Vehicle-Based Digital Imaging System to Derive a 3D Point Cloud for Landslide Scarp Recognition

Landslides often cause economic losses, property damage, and loss of lives. Monitoring landslides using high spatial and temporal resolution imagery and the ability to quickly identify landslide regions are the basis for emergency disaster management. This study presents a comprehensive system that...

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Bibliographic Details
Main Authors: Abdulla Al-Rawabdeh, Fangning He, Adel Mousa, Naser El-Sheimy, Ayman Habib
Format: Article
Language:English
Published: MDPI AG 2016-01-01
Series:Remote Sensing
Subjects:
landslides scarps
geomorphology
slope
surface roughness
Semi-Global dense matching (SGM)
unmanned aerial vehicles (UAVs)
Online Access:http://www.mdpi.com/2072-4292/8/2/95

Internet

http://www.mdpi.com/2072-4292/8/2/95

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