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lidar_spring_2018

Introduction to aerial LiDAR data management
Date: 16.04.2018 9:00 - 16.04.2018 16:00
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: Ville Kankare (University of Helsinki)
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 is closed.
The course is FULLY BOOKED, if you want to be added to the waiting list, you can register to the queue via the registration link.

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

Description

A one day introductory course presenting basic characteristics of LiDAR datasets and how to manage aerial LiDAR datasets using different tools.

The course target audience are scientists and the like interested in an overview of tools and methods to analyze LiDAR datasets. The tools used during the course are LasTools and R.

The course will consist of lectures, demos and hands on exercises.

 

Prerequisities

  • Basics of geoinformatics (coordinate systems, vector, raster etc)
  • No previous knowledge of LiDAR/ALS (Aerial LiDAR Scanning) datasets is required
  • No previous experience with LasTools is required
  • Some R programming background is an advantage

 

Topics

  • Introduction lecture
  • LiDAR data processing with LasTools
  • Processing ALS data with R (basic surface models and ALS metrics)
  • Predicting forest attributes using area based approach and calculated metrics with R
  • Discussion
  • LiDAR analysis in Taito (Eduardo Gonzalez, CSC)

 

Program
Monday 16.4.2017
9:00-10:30 Introduction lecture
10:30-10:45 Coffee break
10:45-12:15 LiDAR data processing with LasTools
12.15-13:00 Lunch
13:00-14:15 Processing ALS data with R (basic surface models and ALS metrics)
14:15-14:30 Coffee break
14:30-15:30 Predicting forest attributes using area based approach and calculated metrics with R
15:30-16:00 LiDAR analysis in Taito (Eduardo Gonzalez, CSC)
Course materials

Projects and Collaboration Networks
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