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

Our EAGLE 2020 generation

Our EAGLE 2020 generation

Our new EAGLE Earth Observation students arrived and we took a group picture while keeping the required distance due to the current situation. Unfortunately not all students could arrive on time for the group picture and hence cannot be seen on the image below. We are...

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New EAGLE stickers arrived

New EAGLE stickers arrived

Just in time for the welcome of the new EAGLEs we received our new EAGLE stickers. They are a first trial of irregular shaped stickers and more will come. The fit nicely with our "old" PixelschubserIn sticker (pixel pusher) and more formal "Remote Sensing Scientist"....

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impressions of our UAV course

impressions of our UAV course

In September 2020 our UAV course took place and all practical exercises were covered. The manual UAV control as well as the automatic mission planning settings were discussed and actually applied. Various UAV systems were explored by the students and a diversity of...

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M.Sc. presentation by Segun Adewale Ojo

M.Sc. presentation by Segun Adewale Ojo

Segun will defend his M.Sc. "Application of Remote Sensing Techniques to detect historical landslides for improving risk assessment in Antioquia, Colombia." on Oct. 16th at 10 am. From the abstract: "In developing countries, current urbanization trends are leading to...

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M.Sc. defense by Michael Wang

M.Sc. defense by Michael Wang

Michael Wang will present his thesis "Comparison of Surface Urban Heat Islands Using the World Settlement Footprint Imperviousness Layer" on Sept. 17th at 10am. From the abstract: "In the growing field of surface urban heat island (SUHI) analysis, impervious surface...

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MSc. presentation by Fowad Ahmed

MSc. presentation by Fowad Ahmed

Fowad Ahmed will present his M.Sc. thesis "Agricultural landscape Configuration and Pattern Analysis with VHR Imagery in Bavaria" on Friday 11th at 11am. from the abstract: "Hedgerows and woody linear features are an integral part of the landscapes where they exist....

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M.Sc. defense by Nina Gnann

M.Sc. defense by Nina Gnann

Nina Gnann will present her M.Sc. thesis "Identification of anthropogenic debris assisted by unmanned aerial vehicles and deep learning” on September 8th 12pm. From the abstract: Due to anthropogenic actions, plastic and other debris are distributed in the environment...

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MSc thesis presentations by Navid Chamani

MSc thesis presentations by Navid Chamani

Navid Chamani is defending his thesis "Investigation on the intra-annual variations of the relationship between Landsat 8-derived LST and spectral indices in west Africa" on September 25th 10am. from the abstract: "Monitoring the variations of the land surface...

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