Study Guide

Objectives (course unit)

In the course, you will learn about laser scanning and the data produced with laser scanning, as well as the utilization of drones.

After completing the course, the student:
• knows the sources of open spatial data and the principles of producing airborne laser scanning data
• can integrate open spatial data with self-produced data
• has the basic skills of flying a drone and collecting drone image data
• can use photogrammetry software to produce data from close-range aerial images collected by a drone
• knows the operating principles of a terrestrial laser scanner and the possibilities of using point cloud data collected with it
• can utilize point clouds in open-source spatial data software
• can apply the above-mentioned skills in forestry applications

Content (course unit)

Key open datasets utilized in forestry, methods for collecting point clouds and three-dimensional spatial data, data processing, drones and close-range aerial imaging, airborne and terrestrial laser scanning, commercial and open-source software for data processing, data utilization, and application in forestry, Traficom's open category A1/A3 class drone remote pilot online theory exam.

Assessment criteria, satisfactory (1-2) (course unit)

The student:
-knows the sources of open spatial data
- can moderately combine open spatial data with self-produced data
- has the basic skills of flying a drone and passes the drone remote pilot online theory exam
- can guidedly collect image data with a drone and produce data using photogrammetry software
- knows the principles of a terrestrial laser scanner and the possibilities of using point cloud data
- can guidedly use point clouds in open-source spatial data software.

Assessment criteria, good (3-4) (course unit)

In addition to the above (satisfactory level), the student:
- knows the principles of producing airborne laser scanning data
- can independently combine open spatial data with self-produced data
- can fairly independently make a plan, fly a drone, and collect image data
- can produce data using photogrammetry software from close-range aerial images collected by a drone
- knows the operating principles and possibilities of using a terrestrial laser scanner
- can independently use point clouds in open-source spatial data software
- can identify forestry applications for the skills acquired during the course.

Assessment criteria, excellent (5) (course unit)

In addition to levels satisfactory and good, the student:
- can independently make a plan, fly a drone, and collect image data
- can extensively utilize point clouds in open-source spatial data software
- can apply the skills acquired during the course in a versatile manner in forestry tasks.

Assessment scale

0-5