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.
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Content

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

General Course News and Updates

MSc defense by Katrin Hasenbein

MSc defense by Katrin Hasenbein

Katrin Hasenbein will defend her M.Sc. thesis on Thursday 12am on "The potential to enhance land use mapping by leveraging processing methods of time series data". from the abstract: "With the launch of the twin satellites of Sentinel-2 time series data with a high...

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MSc idea presentation by Aida Taghavi

MSc idea presentation by Aida Taghavi

Aida will present on Friday, May 22nd at 2:30pm her MSc idea "Potentials of Cosmic-Ray Neutron Probes for Assessing and Mapping SAR-based Soil Moisture in a Mediterranean agro-forestry ecosystem by developing an integrated ground- and space-based Modelling Framework"....

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MSc defense by Sebastian Buchelt

MSc defense by Sebastian Buchelt

Sebastian Buchelt will present his M.Sc. thesis "Analysis of High-Resolution Spatio-Temporal Patterns of Snowmelt using Orthorectified Photo Cameras, Sentinel-1 Time Series and Digital Elevation Data" in a virtual course room. From the abstract: " Snow is one of the...

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MSc defense by Silvan Steiner

MSc defense by Silvan Steiner

On Thursday at 10am Silvan Steiner will present his M.Sc. thesis "Assessing the Potential of a Land Cover Dependent Snow Cover Detection Algorithm for the Global SnowPack". Due to the Covid19 situation his defense will be in a virtual course room. Everybody is invited...

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Covid-19 situation and EAGLE

Covid-19 situation and EAGLE

The Covid-19 situation is also challenging for the University as well as the EAGLE program. Even though we are all in the process to adapt to this new situation, the program itself is continuing as usual. All courses, exams, MSc thesis defense and so on will take...

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