UAV/lidar Data Analytics

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Description: 
The course covers monitoring, analysis, and modeling of 3D landscape change using Unmanned Aerial Systems (UAS) and lidar data. The principles of UAS data collection, processing of 3D point clouds and the resulting terrain models are explained, followed by hands-on experience with multitemporal data collected by the NCSU NextGen Air Transportation (NGAT) program. The course also covers techniques for analysis and visualization of lidar data time series and outputs of dynamic simulations, including immersive visualization at the Hunt library facilities. The students will also have the opportunity to work with the Tangible Landscape system to explore impact of 3D terrain change on landscape parameters and processes. Course uses both open source and proprietary software each for different tasks.
Author(s): 
Helena Mitasova, Justyna Jeziorska, Vaclav Petras, Anna Petrasova
Affiliation: 
North Carolina State University
Contact Email: 
Keywords: 

GRASS GIS, grass, mixed open source and proprietary, Python, scripting

License: 
CC-Attribution Share Alike (by-sa)
Target Audience: 
Graduate Students
Intermediate GIS Users
Advanced GIS Users
Mid-career
Language: 
English
Software: 
GRASS GIS
Agisoft
OpenDroneMap
Publish on OSGeo: 
Yes
Source Format: 
Web page
Date Published: 
11 Jan 2016
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