LIDAR (5 cr)
Code: TX00BT99-3011
General information
- Enrollment
-
02.12.2024 - 12.01.2025
Registration for the implementation has ended.
- Timing
-
13.01.2025 - 11.05.2025
Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Real Estate and Construction
- Campus
- Myllypurontie 1
- Teaching languages
- Finnish
- Degree programmes
- Surveying
Implementation has 30 reservations. Total duration of reservations is 89 h 15 min.
Time | Topic | Location |
---|---|---|
Thu 16.01.2025 time 10:00 - 13:00 (3 h 0 min) |
rA, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 16.01.2025 time 14:00 - 17:00 (3 h 0 min) |
rB, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 23.01.2025 time 10:00 - 13:00 (3 h 0 min) |
rA, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 23.01.2025 time 14:00 - 17:00 (3 h 0 min) |
rB, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 30.01.2025 time 10:00 - 13:00 (3 h 0 min) |
rA, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 30.01.2025 time 14:00 - 17:00 (3 h 0 min) |
rB, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 06.02.2025 time 10:00 - 13:00 (3 h 0 min) |
rA, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 06.02.2025 time 14:00 - 17:00 (3 h 0 min) |
rB, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 13.02.2025 time 10:00 - 13:00 (3 h 0 min) |
rA, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 13.02.2025 time 14:00 - 17:00 (3 h 0 min) |
rB, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 27.02.2025 time 10:00 - 13:00 (3 h 0 min) |
rA, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 27.02.2025 time 14:00 - 17:00 (3 h 0 min) |
rB, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 06.03.2025 time 10:00 - 13:00 (3 h 0 min) |
rA, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 06.03.2025 time 14:00 - 17:00 (3 h 0 min) |
rB, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 13.03.2025 time 10:00 - 13:00 (3 h 0 min) |
rA, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 13.03.2025 time 14:00 - 17:00 (3 h 0 min) |
rB, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 20.03.2025 time 10:00 - 13:00 (3 h 0 min) |
rA, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 20.03.2025 time 14:00 - 17:00 (3 h 0 min) |
rB, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 27.03.2025 time 10:00 - 13:00 (3 h 0 min) |
rA, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 27.03.2025 time 14:00 - 17:00 (3 h 0 min) |
rB, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 03.04.2025 time 10:00 - 13:00 (3 h 0 min) |
rA, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 03.04.2025 time 14:00 - 17:00 (3 h 0 min) |
rB, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 10.04.2025 time 10:00 - 13:00 (3 h 0 min) |
rA, Laserkeilaus TX00BT99-3011 |
MPA6011
Oppimistila
|
Thu 10.04.2025 time 14:00 - 17:00 (3 h 0 min) |
rB, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 17.04.2025 time 10:00 - 13:00 (3 h 0 min) |
rA, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 17.04.2025 time 14:00 - 17:00 (3 h 0 min) |
rB, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 24.04.2025 time 09:45 - 12:00 (2 h 15 min) |
rA, Laserkeilaus TX00BT99-3011 |
MPC4001
Oppimistila
|
Thu 24.04.2025 time 14:00 - 17:00 (3 h 0 min) |
rB, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 08.05.2025 time 10:00 - 13:00 (3 h 0 min) |
rA, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Thu 08.05.2025 time 14:00 - 17:00 (3 h 0 min) |
rB, Laserkeilaus TX00BT99-3011 |
MPA3011
Digitila
|
Objective
Student will
- understand the basics of LIDAR methods
- is able to plan and accomplish basic measuring tasks
- is able to use some modelling software for point cloud processing
Content
The fundamentals of LIDAR
Planning and accomplishing of terrestrial laser scanning tasks and postprocessing of pointclouds with some postprocessing software.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Student can use land laser scanner and can post process the point clouds and create a rough 3-D modell out of point data for 3-D visualization.
Assessment criteria, approved/failed
Student can use land laser scanner and can post process the point clouds and create a rough 3-D modell out of point data for 3-D visualization.
Qualifications
Measuring and Mapping techniques I.