Data and Infrastructure

Last changed: 11 October 2023



Both the quality and quantity of geospatial data are increasing at an astounding rate. Handling large geospatial datasets can be challenging, especially dense point clouds with national coverages. We have built a storage and processing infrastructure between laptops and national superclusters. This infrastructure has allowed us to do more ambitious research projects, which have direct and national societal impact. Here are some examples of digital planning tools that we have developed.




Soil moisture:


Hydrologically correct digital elevation model:


William Lidberg, Associate Senior Lecturer
Department of Forest Ecology and Management, Department of Forest Ecology and Management, joint staff, +46907868655, +46706295567