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

new QGIS plugin and R package

new QGIS plugin and R package

our EAGLE student Konstantin Müller created a QGIS plugin and a corresponding R package for easy point density vizualisation. Create way to learn how to build QGIS plugins and R package for spatial analysis. QGIS plugin: The Bestagon QGIS plugin allows easy density...

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MSc defense by Joy Giovanni Matabishi

MSc defense by Joy Giovanni Matabishi

On Tuesday, October 31, 2023 at 12 a.m Joy-Giovanni Matabishi will present his Msc Thesis “Modelling Bat Distribution and Diversity with Artificial light as a Focal Predictor in South Tyrol” in the seminar room 3 in John-Skilton-Str. 4a/ground floor. Modelling Bat...

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MSc defense by Vanessa Rittlinger

MSc defense by Vanessa Rittlinger

On Tuesday, October 24, 2023 at 12:00 a.m. Vanessa Rittllinger will present her master thesis on “Detection of landslides in space and time using optical remote sensing data – A case study in South Tyrol” in seminar room 3 in John-Skilton-Str. 4a/ground floor From the...

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MSc defense by Moritz Rösch

MSc defense by Moritz Rösch

On Tuesday, November 27 at 12:00 a.m., 2023 Moritz Rösch will present his MSc defense “Daily spread prediction of European wildfires based on historical burned area time series from Earth observation data using spatio-temporal graph neural networks” in the seminar...

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Internship Report

Internship Report

On Tuesday, December 12, 2023 at 12:00 a.m. Sunniva McKeever, Maximilian Merzdorf, and Isabella Metz will present their internship report on their internship at the Kruger National Park, South Africa in seminar room 3 in John-Skilton-Str. 4a/ground floor Subject: "Our...

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Internship Report by Christobal Tobbin

Internship Report by Christobal Tobbin

On Tuesday, November 28, 2023 at 13:00 Christobal Tobbin will present his internship report on his internship at DLR  “The CONCERT Project” in seminar room 3 in John-Skilton-Str. 4a/ground floor. From the abstract: The CONCERT project with the Agriculture and...

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Successful MSc defense by Giovanni Matabishi

Successful MSc defense by Giovanni Matabishi

Giovanni presented his MSc thesis “Modelling Bat Distribution and Diversity with Artificial light as a Focal Predictor in South Tyrol” today within our EAGLE colloquium and passed successfully. He presented very interesting approaches of remote sensing for modelling...

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