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Lidar data analysis in Taito, with PDAL and R

Lidar data analysis in Taito, with PDAL and R
Date: 05.03.2019 9:00 - 05.03.2019 17:00
Location details: The event is organised at the CSC Training Facilities located in the premises of CSC at Keilaranta 14, Espoo, Finland. The best way to reach us is by public transportation; more detailed travel tips are available.
Language: English
Lecturers: Elias Annila Eduardo González
Price:
  • 60 euros + VAT (24%) for Finnish universities, polytechnics and governmental research institutes
  • 280 euros + VAT (24%) for others
The fee covers all materials, lunches as well as morning and afternoon coffees.
Registration by 26.02.2019 23:59
The seats are filled in the registration order. If a cancellation is received five (5) business days prior to the course, the course fee will be refunded with the exception of a handling fee of 10 €. For no-shows and cancellations after the cut of date no refunds will be made. Registration can be transferred to someone else from the same organization without additional charge.

Payment can be made with electronic invoicing, credit card, or direct bank transfer. Note that for electronic invoicing you need the operator and e-invoicing address (OVT code) of your organization. Please also note that invoice reference is needed for electronic invoicing in your organization, so please have this available when registering.
Additional information
Content: giscoord@csc.fi
Practicalities: event-support@csc.fi

The aim of this course is to introduce Lidar data analysis tools available in CSC Taito supercluster. The main tools covered in the course are:  PDAL and different R packages, inc lidR and rlas. The objective is to get a general overview of tasks that can be done using these tools: filtering points, calculating digital elevation and surface models, calculating canopy height, tree detection, mesh creation, change detection.

The course exercises are done in Taito. For exercises, we will use aerial LiDAR scanning datasets from Finnish National Land Survey.

Prerequisites:

  • Basic understanding of LiDAR data.
  • Basic programing skills (preferably R or Python).
  • Previous experience with Taito environment is not required.
Program

9:00 - 9:15 Introduction to the course
9:15 - 10:30 Introduction to Taito, connecting to Taito and course environment
10:30 - 10:45 Coffee break
10:45 - 11:00 CloudCompare for visualizing
11:00 - 12:15 R packages (lidR, rlas)
12:15 - 13:00 Lunch
13:00 - 14:00 R packages (lidR, rlas) continues
14:00 - 14:45 Introduction to PDAL
14:45 - 15:00 Coffee break
15:00 - 16:30 PDAL continues
16:30 - 17:00 Discussion
17:00 - 17:00 End of training day

 

Course materials

Projects and Collaboration Networks
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Tapahtumat
Projects and Collaboration Networks
Service Break
Tapahtumat