Johan Fransson

Professor

Department of Forestry and Wood Technology Faculty of Technology

johan.fransson@lnu.se

+46 470-76 70 42

+46 70-660 86 97

Teaching

I teach courses related to the subject area Digitalisation of forestry, which includes Forest remote sensing, Forest planning and GIS at BSc and MSc level as well as independent courses.

Commissions

Member of the steering committee, Department of Forestry and Wood Technology, LNU, August 2022 –
Research coordinator in Linnaeus University Centre for Data Intensive Sciences and Applications (DISA), January 2022 –
Member of the panel for Svenska Rymdforskares Samarbetsgrupp (SRS), March 2019 –
Member of the Science Advisory Panel of the ALOS Kyoto & Carbon Initiative, July 2004 –
Senior Member of the Institute of Electrical and Electronics Engineers – Geoscience and Remote Sensing Society (IEEE-GRSS), March 2002 – April 2012 (Member), May 2012 –

My research groups

My ongoing research projects

Project: ForestMap The overall objective of the project is to develop and evaluate a new methodology to produce forest maps across the globe, to advance the societal values of forest use. The forest…

Publications

Article in journal (Refereed)

Gundermann, N., Löwe, W., Fransson, J., Olofsson, E., Wehrenpfennig, A. (2024). Object Identification in Land Parcels Using a Machine Learning Approach. Remote Sensing. 16 (7).
Status: Published
Martinez-Garcia, E., Nilsson, M.B., Laudon, H., Lundmark, T., Fransson, J., et al. (2024). Drought response of the boreal forest carbon sink is driven by understorey-tree composition. Nature Geoscience. 17. 197-204.
Status: Published
Doeweler, F., Fransson, J., Bader, M.K. (2024). Linking High-Resolution UAV-Based Remote Sensing Data to Long-Term Vegetation Sampling : A Novel Workflow to Study Slow Ecotone Dynamics. Remote Sensing. 16 (5).
Status: Published
Fjeld, D., Persson, M., Fransson, J., Bjerketvedt, J., Brathen, M. (2024). Modelling forest road trafficability with satellite-based soil moisture variables. International Journal of Forest Engineering. 35 (1). 93-104.
Status: Published
Peichl, M., Martinez-Garcia, E., Fransson, J., Wallerman, J., Laudon, H., et al. (2023). On the uncertainty in estimates of the carbon balance recovery time after forest clear-cutting. Global Change Biology. 29 (15). e1-e3.
Status: Published
Huuva, I., Wallerman, J., Fransson, J., Persson, H.J. (2023). Prediction of Site Index and Age Using Time Series of TanDEM-X Phase Heights. Remote Sensing. 15 (17).
Status: Published
Peichl, M., Martinez-Garcia, E., Fransson, J., Wallerman, J., Laudon, H., et al. (2023). Landscape-variability of the carbon balance across managed boreal forests. Global Change Biology. 29 (4). 1119-1132.
Status: Published
Martinez-Garcia, E., Nilsson, M.B., Laudon, H., Lundmark, T., Fransson, J., et al. (2022). Overstory dynamics regulate the spatial variability in forest-floor CO₂ fluxes across a managed boreal forest landscape. Agricultural and Forest Meteorology. 318.
Status: Published

Conference paper (Refereed)

Ulander, L.M., Monteith, A.R., Fransson, J. (2023). Development and Initial Evaluation of the Tower-based Borealscat-2 P- and L-Band Tomographic SAR. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium : Pasadena, CA, USA, 2023. 2192-2194.
Aksoy, S., Hasan Al Shwayyat, S.Z., Nur Topgül, Ş., Sertel, E., Ünsalan, C., et al. (2023). Forest Biophysical Parameter Estimation via Machine Learning and Neural Network Approaches. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium : Pasadena, CA, USA, 2023. 2661-2664.
Huuva, I., Persson, H.J., Wallerman, J., Ulander, L.M., Fransson, J. (2023). Prediction of Hemi-Boreal Forest Biomass Change Using Alos-2 Palsar-2 L-Band SAR Backscatter. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. 3326-3329.
Fransson, J., Sertel, E., Ünsalan, C., Salo, J., Holmström, A., et al. (2023). ForestMap : Mapping Forest Attributes Across the Globe - First Case Study. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. 3395-3397.
Huo, L., Lindberg, E., Fransson, J., Persson, H.J. (2022). Comparing spectral differences between healthy and early infested spruce forests caused by bark beetle attacks using satellite images. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Hybrid Symposium, Kuala Lumpur, Malaysia, 17-21 July, 2022. 7709-7712.
Huuva, I., Persson, H.J., Wallerman, J., Fransson, J. (2022). Detectability of Silvicultural Treatments in Time Series of Penetration Depth Corrected Tandem-X Phase Heights. International Geoscience and Remote Sensing Symposium (IGARSS), Volume 2022-July. 5909-5912.
Persson, H.J., Mukhopadhyay, R., Huuva, I., Fransson, J. (2022). Comparison of Boreal Biomass Estimations Using C-and X-Band Polsar. International Geoscience and Remote Sensing Symposium (IGARSS), Volume 2022-July. 5555-5558.

Other (Other (popular science, discussion, etc.))

Fransson, J., Elif, S., Ünsalan, C., Jari, S., Holmström, A., et al. (2022). ForestMap : The next generation of forest maps – adapting a Nordic success story across the globe. ForestValue.
Newsletter #10/ ForestValue, p. 11
.
Fransson, J., Elif, S., Ünsalan, C., Jari, S., Holmström, A., et al. (2022). ForestMap : The next generation of forest maps – adapting a Nordic success story across the globe. ForestValue.
Newsletter #10/ ForestValue
.