TUT Inverse Problems

Collaborators

This page is used to maintain an up-to-date list of our numerous collaborators, both foreign and domestic, in alphabetical order. The following icons are used to present the research topic(s) for each collaborator. The list can be used to filter the partners according to the topics.

ASTEROIDS Asteroid reconstruction FOREST Forest and tree research VOLUMETRIC Volumetric reconstruction

Furthermore, the info icon can be used to toggle additional information about a partner organization. You can also expand all or collapse all details at once.

Charles University Prague

(CZ)

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 Mikko KaasalainenJosef ĎurechChapter in Asteroids (Viorel Badescu, ed.), Springer Berlin Heidelberg, 2013.
Combining asteroid models derived by lightcurve inversion with asteroidal occultation silhouettes. J. ĎurechM. Kaasalainen10 colleaguesIn Icarus, volume 214, 2011.
DAMIT: a database of asteroid models. J. ĎurechV. SidorinM. KaasalainenIn Astronomy & Astrophysics, volume 513, 2010.

European Space Agency

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
[1] Shape modeling techniques KOALA validated by ESA Rosetta at (21) Lutetia. B. CarryM. Kaasalainen11 colleaguesIn Planetary and Space Science, volume 66, 2012.
[14] E-type asteroid Steins as imaged by OSIRIS on board Rosetta. H.U. Kellerincl. M. Kaasalainen 46 colleaguesIn Science, volume 327, 2010.

Finnish Geospatial Research Institute National Land Survey of Finland

(FI)

We work in collaboration with the Remote sensing of the changing Earth -research group of the Finnish Geospatial Research Institute. Their expertise lies on state-of-the-art and novel remote sensing technologies. As of 2015 FGI is part of the National Land Survey of Finland. Before 2015 FGI was known as the Finnish Geodetic Institute.

Finnish Geodetic Institute supplies our team with most of the LiDAR data used in developing our tree reconstruction methods. An example reconstruction computed from the supplied data is available in the 3D models section of this site.

Joint publications
[7] Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data. P. RaumonenM. KaasalainenM. ÅkerblomS. KaasalainenH. KaartinenM. VastarantaM. HolopainenM. DisneyP. LewisIn Remote Sensing, volume 5, 2013.
[10] Indirect emissions of bioenergy: detailed analysis of stump-root systems. J. LiskiP. RaumonenS. KaasalainenA. RepoA. KrooksA. AkujärviM. KaasalainenIn Global Change Biology Bioenergy, 2014.
[6] Bayes trees and forests: combining precise empirical and theoretical tree models M. KaasalainenI. PotapovP. RaumonenM. ÅkerblomR. SievänenS. KaasalainenIn 7th International Conference on Functional-Structural Plant Models (FSPM2013) Proceedings, 2013.
[1] Comprehensive quantitative tree models from TLS data M. ÅkerblomP. RaumonenM. KaasalainenS. KaasalainenH. KaartinenIn IEEE International Geoscience and Remote Sensing Symposium Proceedings, 2012.
[17]Approximation of volume and branch size distribution of trees from laser scanner data Pasi RaumonenSanna KaasalainenMikko KaasalainenHarri KaartinenIn Int. Archives Photogramm., Remote Sens. Spatial Inf. Sci, Citeseer, volume 38, 2011.

Finnish Meteorological Institute

(FI)

Joint research in soil carbon models (YASSO) with applications varying from Earth System Modeling and greenhouse gas inventories to ecosystems and bioenergy.

Forestry Commission Forest Research

(UK)

Our team is working in close collaboration with Project manager 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.

Together with the Forestry Commission and the University College London we have validated the tree reconstruction method developed by our team [1].

Joint publications
[7] Fast automatic method for constructing topologically and geometrically precise tree models from TLS Data P. RaumonenE. CasellaM. DisneyM. ÅkerblomM. KaasalainenIn 7th International Conference on Functional-Structural Plant Models (FSPM2013) Proceedings, 2013.

IMCCE, Observatoire de Paris

(FR)

Benoit Carry collaborates with us on data analysis from adaptive optics and interferometry.

The acronym comes from the French name of the observatory Institut de mécanique céleste et de calcul des éphémérides.

Large Synoptic Survey Telescope (LSST)

(US)

LSST is a teloscope to be built in Chile. The development and building of the system is overseen by the LSST corporation with offices located in the US. Our team participates in large scale sky surveys.

Natural Resources Institute Finland

(FI)

Natural Resources Institute Finland (LUKE) works with us on developing novel forest and tree models. Before 2015 LUKE was known as FFRI, the Finnish Forest Research Institute.

Our key partners at LUKE include Senior Researcher Risto Sievänen, the lead developer of the LIGNUM tree model, and Researcher Raisa Mäkipää, an expert in plant competition research and functional ecosystems.

Joint publications
[2] Automatic tree species recognition with quantitative structure models Markku ÅkerblomPasi RaumonenRaisa MäkipääMikko KaasalainenIn Remote Sensing of Environment, volume 191, 2017.
[1] Bayes trees and forests: combining precise empirical and theoretical tree models M. KaasalainenI. PotapovP. RaumonenM. ÅkerblomR. SievänenS. KaasalainenIn 7th International Conference on Functional-Structural Plant Models (FSPM2013) Proceedings, 2013.

Pan-STARRS

(US)

Pan-STARRS is a telescope system developed at the University of Hawaii's Institute for Astronomy. We participate in large-scale sky surveys made with the Pan-STARR system.

Pan-STARSS stands for Panoramic Survey Telescope & Rapid Response System. When completed, the entire system will consist of four telescopes all located in Hawaii.

University College London Department of Geography

(UK)

We are currently working with Professor Philip Lewis and Doctor Mat Disney from the The Environmental Modelling and Earth Observation group.

Founded in 1826 the University College London is a cutting edge research facility that has housed numerous Nobel prize winners over the years. Our collaborator is the Department of Geography located at the Pearson Building.

Joint publications
[5]Estimating above ground biomass from terrestrial laser scanning in Australian Eucalypt Open Forest K. CaldersG. NewnhamM. HeroldS. MurphyD. CulvenorP. RaumonenA. BurtJ. ArmstonV. AvitabileM. DisneyIn Silvilaser2013 Full Proceedings, 2013.
[4]Rapid Characterisation of Forest Structure from TLS and 3D Modelling A. BurtM. DisneyP. RaumonenJ. ArmstonK. CaldersP. LewisIn IEEE International Geoscience and Remote Sensing Symposium Proceedings, 2013.
[7] Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data. P. RaumonenM. KaasalainenM. ÅkerblomS. KaasalainenH. KaartinenM. VastarantaM. HolopainenM. DisneyP. LewisIn Remote Sensing, volume 5, 2013.
[7] Fast automatic method for constructing topologically and geometrically precise tree models from TLS Data P. RaumonenE. CasellaM. DisneyM. ÅkerblomM. KaasalainenIn 7th International Conference on Functional-Structural Plant Models (FSPM2013) Proceedings, 2013.

University of Münster Institute for Biomagnetism and Biosignal analysis

(DE)

We 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.

University of Oulu Sodankylä Geophysical Observatory

(FI)

We are working with the research unit led by Markku Lehtinen. We collaborate on various inverse problems but our focus lies on radar data analysis.

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