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 Martin Koenig

MSc defense by Martin Koenig

Martin König handed in his thesis with the title “Examining post-fire vegetation recovery with Landsat time series analysis in Olympic National Park (USA)”. Martin used remote sensing and ground collected data to make sense of vegetation recovery patterns for larger...

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thesis idea presentations

thesis idea presentations

On Monday 26th of July at 2pm we will have two MSc thesis idea presentations:   Jakob Wachter (thesis idea):"Derivation of Snow cover in mountain regions from Webcam and Sentinel Imagery (thesis idea)" - supervisors Dr. Tobias Ullmann and Dr. Mattia Rossi, EURAC...

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MSc Defense by Sandro Groth

MSc Defense by Sandro Groth

Sandro Groth will present his M.Sc. thesis "Using street-level imagery and multi-task deep learning for multi-hazard risk related building characterization" on June 28th at 9am. From his abstract: "Accurate building characterization is a key component of multi-hazard...

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MSc defense by Henrik Fisser

MSc defense by Henrik Fisser

Henrik Fisser will present his M.Sc. thesis on Thursday 17th of June at 9am about “Sentinel-2-based moving truck detection for spatiotemporal road cargo emission and density approximation”. More details from his abstract: "In many countries freight is mainly...

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MSc defense of Basil Tufail

MSc defense of Basil Tufail

Basil Tufail will present his M.Sc. thesis "Monitoring the Displacement of an Active Tailings Dam in Peru using Persistent Scatterer Interferometry (PS-InSAR)" on Friday, June 18th, at 9am. From the abstract: "As mining activities and the number of tailings dam grow...

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Review of applications

Review of applications

Dear all applicants in 2021, we are currently working through the first evaluation of all 230 applications and will send out invitations for interviews in the next days/weeks. Unfortunately we are a bit delayed due to the high number of applications and we want to...

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MSc thesis defense by Johannes Mast

MSc thesis defense by Johannes Mast

Johannes Mast will present his thesis "Analyzing the relationship between urban morphology and economic subcenters with a focus on urban polycentricity using remote sensing and socioeconomic data" on Monday 14th of June at 9am. From the abstract: "Polycentricity...

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