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Land suitability assessment using machine learning: A comparison between point-based and raster-based terron methods

PhD defence, Friday 26 February 2021, Yannik Elo Roell

2021.02.26 | Helle Mitzi Thomsen Reichl

Yannik Elo Roell

During his studies, Yannik investigated land suitability across Denmark using terron methodology. Terrons are created by combining machine learning with soil, climate, and landscape variables. Yannik utilized two different methods (i.e. point-based and raster-based) for generating terrons and validated the resulting maps using data on agriculture production and suitability for three different time periods (1688, 1844, and present day). In his PhD project, Yannik automated a previously developed terron method and introduced the concept of hierarchical terrons.


The new research findings contribute to the understanding of agriculture land suitability across Denmark and will contribute in developing official provenance foods. By proposing a new terron model which includes climate, Yannik has enabled terrons to be utilized in larger study areas.


The PhD degree was completed at the Department of Agroecology, Faculty of Technical Sciences, Aarhus University.

This summary was prepared by the PhD student. Time: Friday 26 February 2021 at 10:00

Place: The PhD defence will be held online. To receive a link to the event, please send an e-mail to Karina Rysholt Christensen; kch@agro.au.dk

Title of dissertation: Land suitability assessment using machine learning: A comparison between point-based and raster-based terron methods

Contact information: Yannik E. Roell, e-mail: yannik.roell@agro.au.dk, tel.: +45 52 75 08 11 Members of the assessment committee:

Professor Dr. Lubós Borúvka, Department of Soil Science and Soil Protection, Faculty of Agrobiology, Czech University of Life Sciences Prague, The Czech Republic

Senior researcher Rosario Napoli, Research Centre for Agriculture and Environment, (CREA-AA), Italy

Senior scientist Jim Rasmussen (chair), Department of Agroecology, Aarhus University

Main supervisor:

Senior Scientist Mogens H. Greve, Department of Agroecology, Aarhus University Co-supervisor:

Post-doc Amélie Beucher, Department of Agroecology, Aarhus University Language: The PhD dissertation will be defended in English

The defence is public.
Due to the coronavirus situation, the PhD thesis will not be available for reading at the offices of the PhD administration. Instead, interested parties may send an e-mail to gradschool.tech@au.dk to receive a digital copy of the PhD thesis. Please note, it may in certain cases be necessary to make an individual arrangement to read the PhD thesis.

PhD defence
17427 / i43