Laboratory of Forest Resources Management and Geo-information Science

Organisational unit: Research Group

Organisation Profile

Ac­cur­ate geoin­form­a­tion for forestry

Spatial geoinformation is a necessity for cultivating sustainable natural resource management and a green economy. Airborne laser scanning (ALS) has enabled a technological leap forward to further the acquisition of detailed spatial geoinformation. By using ALS, one can collect geometrically accurate point clouds. These 3D data sets that use single- or multi-temporal point clouds enable a wide range of applications in the field of natural resource management. Adding a time dimension provides 4D geoinformatics. Multi-temporal geodata offers information about the history of our environment, and the 4D data can be used in modeling and simulating the future.

Latest research outputs

  1. Assessing spectral measures of post-harvest forest recovery with field plot data

    Research output: Contribution to journalArticleScientificpeer-review

  2. Modelling the knot taper in Scots pine (Pinus sylvestris L.) from terrestrial laser scanning - derived branch attributes

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

ID: 107193334