Johan Fransson

Professor

Institutionen för skog och träteknik Fakulteten för teknik

johan.fransson@lnu.se

0470-76 70 42

070-660 86 97

Undervisning

Jag undervisar i kurser som har koppling till skogsbrukets digitalisering, vilket bl.a. innefattar skogsbruksplanläggning, GIS och fjärranalys på kandidat- och master-nivå samt fristående kurser.

Uppdrag

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 –

Mina forskargrupper

Mina pågående forskningsprojekt

Publikationer

Artikel i tidskrift (Refereegranskat)

Topgul, S.N., Sertel, E., Aksoy, S., Unsalan, C., Fransson, J. (2025). VHRTrees : a new benchmark dataset for tree detection in satellite imagery and performance evaluation with YOLO-based models. Frontiers in Forests and Global Change. 7.
Status: Publicerad
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: Publicerad
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: Publicerad
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: Publicerad
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: Publicerad
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: Publicerad
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: Publicerad
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: Publicerad
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: Publicerad

Konferensbidrag (Refereegranskat)

Fransson, J., Björnberg, D., Holmström, A., Lazo, J.F., Löwe, W., et al. (2024). Applying Machine Learning for Forest Attribute Mapping in Latvia : Sharing Insights from the Swedish Approach. 2024 International Geoscience and Remote Sensing Symposium. 5320-5323.
Ulander, L.M., Monteith, A.R., Persson, H.J., Fransson, J.E. (2024). Borealscat-2: Backscatter Measurements of Forest Water Dynamics. International Geoscience and Remote Sensing Symposium (IGARSS). 2332-2335.
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.

Övrigt (Övrigt (populärvetenskap, debatt))

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
.