The aim of this module is to deepen the understanding of Laser Remote Sensing techniques. The module provides an overview of today’s common sensors used for the Light Detection And Ranging (LiDAR) Remote Sensing along with the practical use case scenarios revolving around use of Point Cloud data and its handling for feature extraction. Both aspects, theory and practice will provide a good ground for standalone handling of the collected LiDAR data and further development based on the common elements (data fusion, cross platform adaptation). The module begins with a basic overview of the sensory platform and theoretical background on LiDAR. This will be followed by an in depth analysis of specific research applications (Satellite, airborne, terrestrial and bathymetric). Practical lessons will cater the need for hands on analysis of LiDAR obtained Point Cloud data. The initial lessons will provide basic principles of loading the data and exploration of the existing features. This will be upgraded with practical analysis of pre-classified point cloud data with derivation of DEM models and basic feature extraction based on class coding. Final part of the practical work will focus on advanced aspects of working with non-classified point cloud data in order to produce DEM models and extract specific features (vegetation masking, building extraction). This course will also use practical elements obtained from the Object-Based analysis (OBIA) methodology domain. A special focus will be given to the topic of storing and using LiDAR data with databases.

May 6, 2019
September 30, 2019

1,5 months



The module is free of charge for UNIGIS students working to meet their elective subject requirements. Included are:

  • all related study materials
  • supervision and assessment
  • module accreditation according to the curriculum

ClubUNIGIS members can register at a price of € 150,-. Included are:

  • all related study materials
  • supervision and assessment
  • course certificate upon completion of the module