Lasse Keetz

Doctoral Research Fellow - Department of Geosciences
Image of Lasse Keetz
Norwegian version of this page
Mobile phone +47 462 98 525
Room K07
Visiting address Sars' gt./Monrads gt. Botanical Museum 0562 OSLO
Postal address 1172 Blindern / Natural History Museum 0318 OSLO

Academic interests

  • Climate-vegetation interactions
  • Machine learning for vegetation modelling
  • Dynamic Global Vegetation Models
  • Distribution Modelling

Courses taught


2019 – : Doctoral Research Fellow; Vegetation and Climate Dynamics, University of Oslo, Norway.

2019: Field Assistant, University of Gothenburg/ Tarfala Research Station, Sweden.
Vegetation inventory (Point Intercept method), laboratory analyses.

2017 – 2019: MSc in Physical Geography and Ecosystem Science, Lund University, Sweden.
Thesis: “Implications of a dynamic vertical root distribution for modelled water and carbon fluxes across selected ecosystems”.

2017: BSc thesis, Helmholtz-Centre for Environmental Research (UFZ), Leipzig, Germany.
Topic: “Estimating above ground biomass of a tropical rainforest from airborne LiDAR data for different scales”.

2016, 2018: Umeå University/ Abisko Scientific Research Station, Sweden.
Elective courses “Arctic Science” and “Arctic Ecosystems”.

2015 – 2016: Stockholm University, Sweden. Exchange semester at the Dept. of Computer and Systems Science.


  • Bryn, Anders; Dalen, Thea Grobstok; Finne, Eirik Aasmo; Heiberg, Hanne; Keetz, Lasse Torben & Nilsen, Irene Brox [Show all 30 contributors for this article] (2021). Natur i endring - samspillet mellom klima og økosystemene.
  • Keetz, Lasse Torben; Bryn, Anders; Horvath, Peter; Skarpaas, Olav; Tallaksen, Lena M. & Zliobaite, Indre (2021). Using machine learning to model the distribution of Vegetation Types across Norway.

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Published Mar. 9, 2020 11:41 AM - Last modified Sep. 16, 2022 12:46 PM