LiDAR remote sensing

(04-GEO-OMA4-242-m01)

Lecturer

Julia Rieder

ECTS

5 ECTS

 

Aim

The course provides a practical introduction to LiDAR technology and point cloud analysis. Students gain hands-on experience with LiDAR data, from acquisition principles to processing and interpretation, and learn how LiDAR supports applications such as terrain modelling, forestry, and others. The course emphasizes critical understanding of data quality, limitations, and real-world use cases

Content

This course provides an overview of the scientific field surrounding LiDAR as a key technology for three-dimensional Earth observation. The course covers the fundamentals of LiDAR remote sensing, point cloud data structures, and processing methodologies across platforms ranging from spaceborne and airborne systems to terrestrial and mobile laser scanning. Furthermore, the course highlights current developments and emerging analytical possibilities enabled by advanced point cloud analysis and discusses future potential as LiDAR technologies and methodologies continue to evolve and converge with related disciplines.

 

Coding

Coding examples and individual work will be covered

Software

Various software programs will be used, but mainly OpenSource software such as R.

Techniques

Different techniques will be introduced and practically applied.
w

Content

The content of scientific with regard to the audience will be discussed.

General Course News and Updates

EAGLE application in 2022

EAGLE application in 2022

We received again more than 200 applicants from all over the world. In total applicants from 42 different countries applied to our international Earth Observation M.Sc. program, covering countries such as Hungary, Morocco, Malaysia, Kenya, Nepal or Columbia. We are...

read more
EAGLE application deadline 2022

EAGLE application deadline 2022

Our application deadline for 2022 is approaching. If you want to study applied Earth Observation and learn about a variety of remote sensing sensors and methods as well as about fields of applications, submit your application at the latest on May 15th. Accepted...

read more
MSc defense by Haiyin Ye

MSc defense by Haiyin Ye

On Friday 20th of May at 9am Haiyin will present her M.Sc. thesis "Monitoring Gypsy Moth Outbreak Using Sentinel-1 and Sentinel-2 Data". From the abstract: "Gypsy moth Lymantria dispar (L.) is a serious pest in deciduous forests, the larvae of which can feed on a...

read more
MSc defense by Sofia Garcia

MSc defense by Sofia Garcia

On Friday, March 11th at 9am Sofia will present her M.Sc. thesis "Estimating socioeconomic variables in Bolivia using satellite-based nighttime light images and electricity consumption data". From the abstract: "The lack of up-to-date data on socio-economic parameters...

read more
MSc thesis defense by Nestor Gualsaqui

MSc thesis defense by Nestor Gualsaqui

On March 8th at 10:30 Nestor will present his M.Sc. thesis "Pre-crop emergence weed mapping using high satellite imagery". From the abstract: "During the last decades, the growth of the world population has been increasing and weather fluctuations around the world...

read more
MSc defense Nils Karges

MSc defense Nils Karges

Nils Karges will present his M.Sc. thesis "Exploring spatial relationships of soundscape variables in urban areas. " on 15th of February at 9:30. From the abstract: "This work describes the relationship between soundscape and the underlying landscape in an urban...

read more