This page is used to maintain an up-to-date list of our numerous collaborators, both foreign and domestic.
Institute for Biomagnetism and Biosignal analysisWe are currently collaborating with the biomedical modeling research group of Priv.-Doz. Carsten Wolters based at Institute for Biomagnetism and Biosignal analysis, University of Münster, Germany.
Recent joint papers:
Erdbrügger, Tim, et al. “CutFEM forward modeling for EEG source analysis.” Frontiers in Human Neuroscience 17 (2023).
Rezaei, Atena, et al. “Reconstructing subcortical and cortical somatosensory activity via the RAMUS inverse source analysis technique using median nerve SEP data.” Neuroimage 245 (2021): 118726.
Schrader, Sophie, et al. “DUNEuro—A software toolbox for forward modeling in bioelectromagnetism.” PloS one 16.6 (2021): e0252431.
Rezaei, Atena, et al. “Parametrizing the conditionally Gaussian prior model for source localization with reference to the P20/N20 component of median nerve SEP/SEF.” Brain Sciences 10.12 (2020): 934.
We collaborate with Assoc. Prof. Christelle Eyraud and the HIPE group on radar tomographic modelling and microwave radar signal reconstruction.
Recent joint papers:
Dufaure, A., et al. “Imaging of the internal structure of an asteroid analogue from quasi-monostatic microwave measurement data-I. The frequency domain approach.” Astronomy & Astrophysics 674 (2023): A72.
We work in collaboration with the CAVElab – Computational & Applied Vegetation Ecology-research group of the Ghent University. They study vegetation dynamics, carbon and water cycling of terrestrial ecosystems. CAVElab has a strong focus on tropical forest ecosystems, but a broad interest in all types of terrestrial ecosystems, including projects on temperate forests, drylands and urban ecosystems. Process-based vegetation modelling and 3D forest reconstructions are their core research tools and this is where we collaborate with them. They also supplies our team with lot of the LiDAR data used in developing our tree reconstruction methods.
Joint publications
Terrestrial laser scanning for non-destructive estimates of liana stem biomass. Krishna Moorthy S M, Raumonen P, den Bulcke J V, Calders K, Verbeeck H. Forest Ecology and Management, 2020.
Tree species classification using structural features derived from terrestrial laser scanning. Terryn L, Calders K, Disney M, Origo N, Malhi Y, Newnham G, Raumonen P, Åkerblom M, Verbeeck M. ISPRS Journal of Photogrammetry and Remote Sensing, 2020.
Non-destructive Tree Volume Estimation through Quantitative Structure Modelling: Comparing UAV Laser Scanning with Terrestrial Lidar. Brede B, Calders K, Lau A, Raumonen P, Bartholomeus H M, Herold M, Kooistra L. Remote Sensing of Environment, 2019.
Tree Biomass Equations from Terrestrial LiDAR: A Case Study in Guyana. Lau A, Calders K, Bartholomeus H, Martius C, Raumonen P, Herold M, Vicari M, Sukhdeo H, Singh J, Goodman RC. Forests, 2019.
Natural Resources Institute Finland (LUKE) works with us on developing novel ways to measure and model forests. Our key partners at LUKE include Prof. Raisa Mäkipää, Prof Annika Kangas, Dr. Mikko Peltonen and Dr. Timo Pitkänen.Joint publications
Improving TLS-based stem volume estimates by field measurements. Pitkänen T, Raumonen P, Liang X, Lehtomäki M, Kangas A. Computers and Electronics in Agriculture, 2021.
Measuring stem diameters with TLS in boreal forests by complementary fitting procedure. Pitkänen T, Raumonen P, Kangas A. ISPRS Journal of Photogrammetry and Remote Sensing, 2019.
Simulating solar-induced chlorophyll fluorescence in a boreal forest stand reconstructed from terrestrial laser scanning measurements. Liu W, Atherton J, Mõttus M, Gastellu-Etchegorry J-P, Malenovský Z, Raumonen P, Åkerblom M, Mäkipää R, Porcar-Castell A. Remote Sensing of Environment, 2019.
A study of crown development mechanisms using a shoot-based tree model and segmented terrestrial laser scanning data. Sievänen R, Raumonen P, Perttunen J, Nikinmaa E, Kaitaniemi P. Annals of Botany, 2018.
Automatic tree species recognition with quantitative structure models Remote Sensing of Environment, 2017.
Wageningen University & Research works with us on developing novel ways to measure and model forests. Our key partners at Laboratory of Geo-information Science and Remote Sensing include Prof. Martin Herold, Dr. Alvaro Lau and Dr. Benjamin Brede.Joint publications
| A Shortest Path Based Tree Isolation Method For Uav Lidar Data. Raumonen P, Brede B, Lau L, Bartholomeus H. To appear in the proceedings of IGARSS 2021
Non-destructive Tree Volume Estimation through Quantitative Structure Modelling: Comparing UAV Laser Scanning with Terrestrial Lidar. Brede B, Calders K, Lau A, Raumonen P, Bartholomeus H M, Herold M, Kooistra L. Remote Sensing of Environment 2019. Tree Biomass Equations from Terrestrial LiDAR: A Case Study in Guyana. Lau A, Calders K, Bartholomeus H, Martius C, Raumonen P, Herold M, Vicari M, Sukhdeo H, Singh J, Goodman R C. Forests 2019. An architectural understanding of natural sway frequencies in trees. Jackson T, Shenkin A, Moore J, Bunce A, van Emmerik T, Kane B, Burcham D, James K, Selker J, Calders K, Origo N, Disney M, Burt A, Wilkes P, Raumonen P, Gonzalez de Tanago Menaca J, Lau A, Herold M, Goodman R C, Fourcaud T and Malhi Y. Journal of Royal Society Interface 2019. Finite element analysis of trees in the wind based on terrestrial laser scanning data. Jackson T, Shenkin A, Wellpott A, Calders K, Origo N, Disney M, Burt A, Raumonen P, Gardiner B, Herold M, Fourcaud T, Malhi Y. Agricultural and Forest Meteorology 2019. Quantifying branch architecture of tropical trees using terrestrial LiDAR and 3D modelling. Lau A, Bentley P L, Martius C, Bartholomeus H, Shenkin A, Raumonen P, Malhi Y, Jackson T, Herold M. Trees 2018. Estimation of above-ground biomass of large tropical trees with Terrestrial LiDAR. Gonzalez de Tanago Menaca J, Lau A, Bartholomeus H, Herold M, Avitabile V, Raumonen P, Martius C, Goodman R, Disney M, Manuri S, Burt A, Calders K. Methods in Ecology and Evolution 2018. Non-destructive estimates of above-ground biomass using terrestrial laser scanning. Calders K, Newnham G, Burt A, Murphy S, Raumonen P, Herold M, Culvenor D, Avitabile V, Disney M, Armston J, Kaasalainen M. Methods in Ecology and Evolution 2015. |
We collaborate on radar tomography for Juventas Radar with Team Leader Alain Hérique and his group.
Recent joint papers:
Sorsa, Liisa-Ida, et al. “Complex-structured 3D-printed wireframes as asteroid analogues for tomographic microwave radar measurements.” Materials & Design 198 (2021): 109364.
Our team is part of the Osiris camera team which is part of the Rosetta mission aiming to send an orbiter and a lander on a comet.
Related publications
| Shape modeling techniques KOALA validated by ESA Rosetta at (21) Lutetia. In Planetary and Space Science, volume 66, 2012. | |
| E-type asteroid Steins as imaged by OSIRIS on board Rosetta. In Science, volume 327, 2010. |
We collaborate with Josef Ďurech’s research group on asteroid modelling with various data sources.
Joint publications
| What’s Out There? Asteroid Models for Target Selection and Mission Planning Chapter in Asteroids (Viorel Badescu, ed.), Springer Berlin Heidelberg, 2013. | |
| Combining asteroid models derived by lightcurve inversion with asteroidal occultation silhouettes. In Icarus, volume 214, 2011. | |
| DAMIT: a database of asteroid models. In Astronomy & Astrophysics, volume 513, 2010. |
We are working in collaboration with professor Mat Disney and his group which is part of the The Environmental Modelling and Earth Observation group at the Department of Geography.Joint publications
Tree species classification using structural features derived from terrestrial laser scanning. Terryn L, Calders K, Disney M, Origo N, Malhi Y, Newnham G, Raumonen P, Åkerblom M, Verbeeck M. ISPRS Journal of Photogrammetry and Remote Sensing, 2020.
An architectural understanding of natural sway frequencies in trees. Jackson T, Shenkin A, Moore J, Bunce A, van Emmerik T, Kane B, Burcham D, James K, Selker J, Calders K, Origo N, Disney M, Burt A, Wilkes P, Raumonen P, Gonzalez de Tanago Menaca J, Lau A, Herold M, Goodman R C, Fourcaud T and Malhi Y. Journal of Royal Society Interface, 2019.
A new architectural perspective on wind damage in a natural forest. Jackson T, Shenkin A, Kalyan B, Zionts J, Calders K, Origo N, Disney M, Burt A, Raumonen P, Malhi Y. Frontiers in Forests and Global Change, 2019.
Finite element analysis of trees in the wind based on terrestrial laser scanning data. Jackson T, Shenkin A, Wellpott A, Calders K, Origo N, Disney M, Burt A, Raumonen P, Gardiner B, Herold M, Fourcaud T, Malhi Y. Agricultural and Forest Meteorology, 2019.
Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling. Calders K, Origo N, Burt A, Disney M, Nightingale J, Raumonen P, Åkerblom M, Malhi Y, Lewis P. Remote Sensing, 2018.
Non-Intersecting Leaf Insertion Algorithm for Tree Structure Models. Åkerblom A, Raumonen P, Casella E, Disney M, Danson M, Gaulton R, Schofield L, Kaasalainen M. Interface Focus, 2018.
Weighing trees with lasers: advances, challenges and opportunities. Disney M, Boni Vicari M, Burt A, Calders K, Lewis S, Raumonen P, Wilkes P.
Interface Focus, 2018.
Estimation of above-ground biomass of large tropical trees with Terrestrial LiDAR. Gonzalez de Tanago Menaca J, Lau A, Bartholomeus H, Herold M, Avitabile V, Raumonen P, Martius C, Goodman R, Disney M, Manuri S, Burt A, Calders K. Methods in Ecology and Evolution, 2018.
SimpleTree —An Efficient Open Source Tool to Build Tree Models from TLS Clouds. Hackenberg J, Spiecker H, Calders K, Disney M, Raumonen P.
Forests, 2015.
Non-destructive estimates of above-ground biomass using terrestrial laser scanning. Calders K, Newnham G, Burt A, Murphy S, Raumonen P, Herold M, Culvenor D, Avitabile V, Disney M, Armston J, Kaasalainen M. Methods in Ecology and Evolution, 2015.
Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data. Remote Sensing, 2013.
Our team is working in close collaboration with Dr. Eric Casella at the Forest Research unit of the Forestry Commission. Forestry Commission is a governmental institution for maintaining Britain’s forests and for researching and developing sustainable forestry. They have been providing lot of terrestrial laser scanner data for developing and validating our reconstruction methods. Currently our collaboration is concentrating on monitoring change of tree structure from repeated scans.
Joint publications
| Non-Intersecting Leaf Insertion Algorithm for Tree Structure Models. Åkerblom A, Raumonen P, Casella E, Disney M, Danson M, Gaulton R, Schofield L, Kaasalainen M. Interface Focus, 2018
Massive-scale Tree Modelling from TLS Data. Raumonen P, Casella E, Calders K, Murphy S, Åkerblom M, Kaasalainen M. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015. Analysis of geometric primitives in quantitative structure models of tree stems. Åkerblom M, Raumonen P, Kaasalainen M, Casella E. Remote Sensing, 2015. Fast automatic method for constructing topologically and geometrically precise tree models from TLS Data. 7th International Conference on Functional-Structural Plant Models (FSPM2013) Proceedings, 2013. |