Credits: 5
Schedule: 26.02.2019 - 08.04.2019
Teacher in charge (valid 01.08.2018-31.07.2020):
Prof. Hannu Hyyppä
Contact information for the course (applies in this implementation):
arttu.julin@aalto.fi
juho-pekka.virtanen@aalto.fi
kaisa.jaalama@aalto.fi
hannu.hyyppa@aalto.fi
Teaching Period (valid 01.08.2018-31.07.2020):
IV (spring term)
Learning Outcomes (valid 01.08.2018-31.07.2020):
To understand special applications of laser scanning. To understand mobile, UAV and multi-/hyperspectral laser scanning. To understand and apply processing algorithms of 3D point clouds. To understand and apply registration and integration of laser scanning data with other data sources.
Content (valid 01.08.2018-31.07.2020):
This course gives a deeper insight on laser scanning methods such as the use of mobile laser scanning, UAV laser scanners, multi- and hyperspectral laser scanning, handheld scanners, and special applications of laser scanning. In addition, algorithms of 3D data processing and integration with other data sources are emphasized. The course includes also a seminar part in which the recent development of laser scanning is illustrated.
Assessment Methods and Criteria (valid 01.08.2018-31.07.2020):
Examination and assignments
Elaboration of the evaluation criteria and methods, and acquainting students with the evaluation (applies in this implementation):
50% examination & 50% assignments
Workload (valid 01.08.2018-31.07.2020):
Lectures (20 h), assignments (60 h), self-study (28 h), preparation for examination + examination (27 h)
Study Material (valid 01.08.2018-31.07.2020):
Lecture notes and additional literature
Course Homepage (valid 01.08.2018-31.07.2020):
https://mycourses.aalto.fi/course/search.php?search=GIS-E3030
Prerequisites (valid 01.08.2018-31.07.2020):
It is recommended (but not mandatory) to take courses GIS-E1020 From Measurements to Maps and GIS-E1040 Photogrammetry, Laser Scanning and Remote Sensing before participating in this course.
Grading Scale (valid 01.08.2018-31.07.2020):
0-5
Details on the schedule (applies in this implementation):
See Timetable 2019