Mobile mapping applications

Urban applications

The most common application for mobile mapping is 3D city modelling in urban environment. Also for us the first tasks dealt with urban area data collection. Since then the main focus conserning urban applications has turned to algorithm development for automatic extraction of objects such as building facades, pole type objects and road surface. More information on 3D modelling and virtual worlds research group page.

Mobile laser scanning can produce highly accurate and detailed 3D information as point cloud.

Snow surface profiling

The use of mobile laser scanning for snow change monitoring was studied especially as part of SNORTEX (Snow Reflectance Transition Experiment) campaings. Both snow cover change detection and the usability of laser point intensity information are under study. Mobile snow mapping was tested by setting the ROAMER on a sledge.

ROAMER on a snowmobile sledge for snow surface profiling.

Fluvial geomorphology

The main objective of the project is to improve the possibilities of Finnish companies operating to the field of hydraulic engineering to conduct business in the context of assignments relating to flood risks, fluvial dynamics and hydraulic engineering in fluvial environments. The technological objective is to improve flood mapping, hydraulic modelling and fluvial habitat modelling and to develop products relating to these. In addition, completely new concepts will be developed for creating a elevation/depth model tailored for flood modelling by means of the latest laser scanning methods. The project will be implemented in cooperation with the University of Turku, the Helsinki University of Technology, the Finnish Environmental Institute and the Laurea University of Applied Sciences.

ROAMER was operated on a boat and on a trolley for river environment mapping.

Visualizing deposition and erosion areas on one point bar between the two years. (Vaaja, M. et al., 2011. Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner. Remote Sens. 2011, 3, 587-600.)