Organizers: Juha Hyyppä, Gottfried Mandlburger, Fabio Remondino, Narges Takhtkeshha

23 June 2025 - REGISTRATION IS NOW CLOSED. Please email EuroSDR@mu.ie should you wish to register today. 

Light Detection and Ranging (LiDAR) is a well-established active technology for the direct acquisition of 3D data. In recent years, the emergence of Multispectral LiDAR (MSL) systems, which operate with two or more wavelengths, is revolutionizing the simultaneous acquisition of height and intensity information. MSL sensor properties (e.g., wavelength, instrument size and measurement range) are selected with respect to the intended application and domain which vary from forestry mapping, Land Use Land Cover (LULC) classification or change detection to bathymetry, topographic mapping, archaeology and geology.

MSL sensors provide information on the full 3D distribution of materials with improved penetration capacity hence they are becoming a valuable solution for geospatial data acquisition for NMCAs.

This online EuroSDR workshop on Multispectral LiDAR aims to review the emerging MSL and its possible application, with technical presentations and best practices from companies and mapping agencies.

Program of the workshop:

The workshop has featured reviews of solutions, processing methodologies and experiences with multispectral LiDAR data:

• Multispectral LiDAR basic - Gottfried Mandlburger, TU Vienna
• Multispectral LiDAR: solutions review, processing methods and applications - Narges Takhtkeshha, FBK / TU Vienna / FGI
• Applications of Multispectral LiDAR in forest mapping - Eva Lindberg, Swedish University of Agricultural Sciences
• Multispectral airborne laser scanning: three wavelengths in theory and practice - Peter Rieger, Riegl
• FGI experiences in multispectral LiDAR - Juha Hyyppä - FGI

References:

• Takhtkeshha, N., Mandlburger, G., Remondino, F., Hyyppä, J., 2024: Multispectral Light Detection and Ranging Technology and Applications: A Review. Sensors; 24(5):1669
• Takhtkeshha, N., Bayrak, O.C., Mandlburger, G., Remondino, F., Kukko, A., Hyyppä, J., 2024a: Automatic Annotation of 3D Multispectral LiDAR Data for Land Cover Classification. IGARSS 2024 - IEEE International Geoscience and Remote Sensing Symposium, 8645–8649. https://doi.org/10.1109/IGARSS53475.2024.10642907 
• Taher, J., Hyyppä, E., Hyyppä, M. et al., 2025: Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms. arXiv:2504.14337
• Ruoppa, L., Oinonen, O., Taher, J. et al., 2025: Unsupervised deep learning for semantic segmentation of multispectral LiDAR forest point clouds. arXiv:2502.06227

REGISTRATION IS NOW CLOSED. Please email EuroSDR@mu.ie should you wish to register today.