Summary: 26 peer-reviewed journal papers, 42 conference proceedings, 1 popular science papers, and 2 theses.
The newest papers are listed first.


Journal Papers

Huo, L., Persson, H.J., Lindberg, E. 2021. Early detection of forest stress of European spruce bark beetle attack, and a new vegetation index: Normalized Distance Red & SWIR (NDRS). Remote Sensing of Environment, Vol 255, 2021. PDF DOI

Persson, H.J., Jonzén, J., Nilsson, M. 2021. Combining TanDEM-X and Sentinel-2 for large-area species-wise prediction of forest biomass and volume. International Journal of Applied Earth Observations and Geoinformation, No 96, 2021. PDF DOI

Udali, A., Lingua, E., Persson, H.J. 2021. Assessing forest type and tree species classification using Sentinel-1 C-band SAR data in southern Sweden. Remote Sensing, Vol 13, No 16, 2021. PDF DOI

Huuva, I., Persson, H.J., Soja, M.J., Wallerman, J., Ulander, L.M.H., Fransson, J.E.S. 2020. Predictions of Biomass Change in a Hemi-Boreal Forest Based on Multi-Polarization L- and P-Band SAR Backscatter. Canadian Journal of Remote Sensing, 2020. DOI

Persson, H.J., Soja, M.J., Fransson, J.E.S., Ulander, L.M.H. 2020. National biomass mapping using the Two-Level model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, 2020. PDF DOI

Lundbäck, M., Häggström, C., Persson, H.J., Nordfjell, T. 2020. Global analysis of the slope of forest land. Forestry: An International Journal of Forest Research, 2020. DOI

Leonardo, E.M., Watt, M.S., Pearse, M.S., Dash, J.P., Persson, H.J. 2020. Comparison of TanDEM-X InSAR data and high-density ALS for the prediction of forest inventory attributes in plantation forests with steep terrain. Remote Sensing of Environment, Vol 246, 2020. DOI

Zahriban, M., Shataee, S., Maghsoudi, Y., Mohamadi, J., Fransson, J.E.S., Persson, H.J. 2020. Forest variable estimations using TanDEM-X data in Hyrcanian forests. Canadian Journal of Remote Sensing, Vol 46, No 2, 2020. DOI

Persson, H.J., Ståhl, G. 2020. Characterizing Uncertainty in Forest Remote Sensing Studies. Remote Sensing, Vol 12, No 3, 2020. PDF DOI

Rodriguez Veiga, P., Bouvet, A., Berninger, A., Pathe, C., Schmullius, C., Thiel, C., Ziolkowski, D., Siegert, F., Seifert, F.M., Asner, G., Balzter, H., Persson, H.J., Fransson, J.E.S., Carreiras, J., Tansey, K., Stereńczak, K., Herold, M., Staengel, M., Santoro, M., Carvalhais, N., Cartus, O., Yrjö, R., Mathieu, R., Lohberger, S., Quegan, S., Mermoz, S., Le Toan, T., Avitabile, V. 2019. Forest biomass retrieval approaches from Earth Observation in different biomes. International Journal of Applied Earth Observations and Geoinformation, Vol 77, 2019. DOI

Askne, J.I.H., Persson, H.J., Ulander, L.M.H. 2019. On the Sensitivity of TanDEM-X-Observations to Boreal Forest Structure. Remote Sensing, Vol 11, No 14, 2019. DOI

Pearse, G.D., Dash, J.P., Persson, H.J., Watt, M.S. 2018. Comparison of high-density LiDAR and satellite photogrammetry for forest inventory. ISPRS Journal of Photogrammetry and Remote Sensing, Vol 142, 2018. DOI

Askne, J.I.H., Persson, H.J., Ulander, L.M.H. 2018. Biomass growth from multi-temporal TanDEM-X interferometric synthetic aperture radar observations of a boreal forest site. Remote Sensing, Vol 10, No 4, 2018. DOI

Ehlers, S., Saarela, S., Lindgren, N., Lindberg, E., Nyström, M., Grafström, A., Persson, H.J., Olsson, H., Ståhl, G. 2018. Assessing error correlations in remote sensing-based predictions of forest attributes for improved data assimilation. Remote Sensing, Vol 10, No 5, 2018. DOI

Soja, M., Persson, H.J., Ulander, L.M.H. 2018. Modeling and Detection of Deforestation and Forest Growth in Multi-Temporal TanDEM-X Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 11, No 10, 2018. DOI

Vastaranta, M., Yu, X., Luoma, V., Karjalainen, M., Saarinen, N., Wulder, M.A., White, J.C., Persson, H.J., Hollaus, M., Holopainen, M., Hyyppä, J. 2018. Aboveground forest biomass derived using multiple dates of WorldView-2 stereo-imagery: quantifying the improvement in estimation accuracy. International Journal of Remote Sensing, Vol 39, No 23, 2018. DOI

Persson, H.J., Fransson, J.E.S. 2017. Comparison between TanDEM-X and ALS based estimation of biomass and tree height in boreal forests. Scandinavian Journal of Forest Research, Vol 32, No 4, 2017. PDF DOI

Lindgren, N., Persson, H.J., Nyström, M., Nyström, K., Grafström, A., Muszta, A., Willén, E., Fransson, J.E.S., Ståhl, G. 2017. Improved prediction of forest variables using data assimilation of interferometric synthetic aperture radar data. Canadian Journal of Remote Sensing, Vol 43, No 4, 2017. DOI

Persson, H.J., Olsson, H., Soja, M.J., Ulander, L.M.H. 2017. Experiences from large-scale forest mapping of Sweden using TanDEM-X data. Remote Sensing, Vol 9, No 12, 2017. PDF DOI

Persson, H.J., Fransson, J.E.S. 2016. Estimating site index from short term TanDEM-X canopy height models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 9, No 8, 2016. PDF DOI

Persson, H.J., Perko, R. 2016. Assessment of boreal forest height from WorldView-2 satellite stereo images. Remote Sensing Letters, Vol 7, No 12, 2016. PDF DOI

Persson, H.J. 2016. Estimation of boreal forest attributes from very high resolution Pléiades data. Remote Sensing, Vol 8, No 9, 2016. PDF DOI

Soja, M., Persson, H.J., Ulander, L.M.H. 2015. Estimation of Forest Height and Canopy Density from a Single InSAR Correlation Coefficient. IEEE Geoscience and Remote Sensing Letters, Vol 12, No 3, 2015. PDF DOI

Soja, M., Persson, H.J., Ulander, L.M.H. 2015. Estimation of Forest Biomass from Two-Level Model Inversion of Single-Pass InSAR Data. IEEE Transactions on Geoscience and Remote Sensing, Vol 53, No 9, 2015. PDF DOI

Persson, H.J., Fransson, J.E.S. 2014. Forest Variable Estimation Using Radargrammetric Processing of TerraSAR-X Images in Boreal Forests. Remote Sensing, Vol 6, No 3, 2014. PDF DOI

Persson, H., Wallerman, J., Olsson, H., Fransson, J.E.S. 2013. Estimating forest biomass and height using optical stereo satellite data and a DTM from laser scanning data. Canadian Journal of Remote Sensing, Vol 39, No 3, 2013. DOI

Conferences

Huuva, I., Persson, H.J., Wallerman, J., Fransson, J.E.S. 2021. Influence of plot size and extended extraction regions on TanDEM-X phase height in relation to forest variables.. IGARSS 2021 Symposium, Remote Sensing for a Dynamic Earth, Brussels, Belgium.

Persson, H.J., Olofsson, K., Holmgren, J. 2021. Estimation of individual trees for large areas with high-resolution laser scanning. Mistra Digital Forest Program Conference, Virtual Symposium. PDF

Persson, H.J., Olofsson, K., Holmgren, J. 2021. Impact of sample size – empirical results from a hybrid inference two-phase inventory based on dense laser scanning. SilviLaser, Virtual Symposium.

de P. Pirez, R., Holmgren, J., Olofsson, K., Lindberg, E., Persson, H.J. 2021. Influence of distance to the road on stem detection with car-mounted mobile laser scanner. SilviLaser, Virtual Symposium.

Persson, H.J., Jonzén, J., Fransson, J.E.S. 2020. Combining TanDEM-X, Sentinel-2 and field data for prediction of species-wise stem volumes. IGARSS 2020 Symposium, Remote Sensing for a Dynamic Earth, Virtual Symposium.

Huo, L., Lindberg, E., Persson, H.J. 2020. Normalized Projected Red & SWIR (NPRS): A new vegetation index for spruce bark beetle attack detection. IGARSS 2020 Symposium, Remote Sensing for a Dynamic Earth, Virtual Symposium.

Fransson, J.E.S., Persson, H.J. 2020. Estimation of stem density in hemi-boreal forests using airborne low-frequency synthetic aperture radar. IGARSS 2020 Symposium, Remote Sensing for a Dynamic Earth, Virtual Symposium.

Stelmaszczuk-Górska, M.A., Aguilar-Moreno, E., Casteleyn, S., Vandenbroucke, D., Miguel-Lago, M., Dubois, C., Lemmens, R., Vancauwenberghe, G., Olijslagers, M., Lang, S., Albrecht, F., Belgiu, M., Krieger, V., Jagdhuber, T., Fluhrer, A., Soja, M.J., Mouratidis, A., Persson, H.J., Colombo, R., Masiello, G. 2020. Body of Knowledge for the Earth Observation and Geoinformation Sector – A Basis for Innovative Skills Development. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, Archives. DOI

Persson, H.J., Askne, J., Ulander, L.M.H. 2019. Sensitivity of TanDEM-X to Vertical and Horizontal Boreal Forest Structure Using IWCM. TanDEM-X Science Team Meeting, Oberpfaffenhofen, Germany. PDF

Zahribanhesari, M., Fallaha, A., Shataee-Joibary, S., Kalbi, S., Persson, H.J. 2019. Estimating the forest stand volume and basal area using Pleiades spectral and auxiliary data. ISPRS International Joint Conferences SMPR and GISresearch, Karaj, Iran.

Lundbäck, M., Persson, H.J., Nordfjell, T. 2019. Share of steep slope worldwide. 52. International Symposium on Forest Mechanisation, Forchtenstein, Austria.

Persson, H.J., Soja, M.J., Fransson, J.E.S., Ulander, L.M.H. 2019. Using the two-level model with TanDEM-X for large-scale forest mapping. IGARSS 2019, IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan.

Fransson, J.E.S., Persson, H.J. 2019. Integrating SAR backscatter and ICESAT GLAS metrics and allometric functions towards an improved estimation of forest biomass. IGARSS 2019, IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan.

Persson, H.J., Fransson, J.E.S. 2018. Forest Remote Sensing in Sweden. BioGeoSAR-2018, Oberpfaffenhofen, Germany.

Persson, H.J., Ståhl, G. 2018. Influence of reference data accuracy in remote sensing studies. ForestSAT, Maryland, USA.

Persson, H.J., Soja, M.J., Ulander, L.M.H., Fransson, J.E.S. 2018. National forest mapping of stem volume using TanDEM-X. EUSAR, Aachen, Germany.

Balzter, H., Rodriguez-Veiga, P., Tansey, K., Quegan, S., Carreiras, J., Persson, H.J., Fransson, J.E., Hoscilo, A., Ziolkowski, D., Dabrowska-Zielinska, K., Stereńczak, K., Lohberger, S., Stängel, M., Siegert, F., Avitabile, V., Mermoz, S., Bouvet, A., LeToan, T., Carval, N., Soja, M.J., Eriksson, L.E.B., Santoro, M., Pathe, C., Schmullius, C. 2017. Lessons learned on forest biomass estimation in the six GLOBBIOMASS regional case studies. Remote Sensing Society conference, .

Santoro, M., Balzter, H., Pedro Rodriguez-Veiga, P., Tansey, K., Quegan, S., Carreiras, J., Persson, H.J., Fransson, J.E., Hoscilo, A., Ziolkowski, D., Dabrowska-Zielinska, K., Stereńczak, K., Lohberger, S., Stängel, M., Siegert, F., Avitabile, V. 2017. A global dataset of forest biomass for the year 2010 obtained from multiple remote sensing observations: evidences, strengths and limitations. 10th International Carbon Dioxide Conference, Interlaken, Switzerland.

Soja, M.J., Persson, H.J., Ulander, L.M.H. 2017. Mapping And Modeling Of Boreal Forest Change In TanDEM-X Data With The Two-Level Model. IGARSS 2017, Texas, USA.

Huuva, I., Fransson, J.E.S., Wallerman, J., Ulander, L.M.H., Blomberg, E. 2017. Measurements Of Forest Biomass Change Using L- And P-Band SAR Backscatter. IGARSS 2017, Texas, USA.

Persson, H.J., Nilsson, M., Olsson, H., Fransson, J.E.S., Soja, M.J., Ulander, L.M.H. 2017. TanDEM-X for national forest mapping. Fringe 2017, Helsinki, Finland.

Persson, H.J., Olsson, H., Fransson, J.E.S. 2016. Stereo matched very high-resolution satellite images for predictions of forest variables. ForestSAT, Santiago, Chile. PDF

Schmullius, C., Thiel, C., Pathe, C., Matejka, E., Quegan, S., Carreiras, J., Wegmuller, U., Santoro, M., Wiesmann, A., Balzter, H., Rodriguez, P., Tansey, K., LeToan, T., Mermoz, S., Bouvet, A., Dabrowska-Zielinska, K., Hoscilo, A., Ziolkowski, D., Siegert, F., Englhart, S., Fransson, J., Persson, H.J., Herold, M., Avitabile, V., Häme, T., Rauste, Y., Shvidenko, A., Schepaschenko, D., Sterenczak, K., Eriksson, L., Ulander, L.M.H, Steffen, F., Reichstein, M., Carvalhais, N., Mathieu, R., Seifert, F.M. 2016. Estimates of Biomass on a Global Scale. Living Planet Symposium, Prague, Czech Republich.

Dostalova, A., Persson, H.J., Wagner, W. 2016. Geocoding uncertainty analysis for the automated processing of Sentinel-1 data using Sentinel-1 Toolbox software. SPIE Remote Sensing, Edinburgh, Scotland.

Ulander, L.M.H., Soja, M.J., Monteith, A.R., Eriksson, L.E.B., Persson, H.J., Fransson, J.E.S. 2016. BorealScat – a tower based tomographic and polarimetric radar experiment in the boreal forest. The 2016 annual meeting of SRS, Umeå, Sweden.

Persson, H.J. 2016. Forestry applications of satellite stereogrammetry using very high resolution (VHR) optical data. The 2016 annual meeting of SRS, Umeå, Sweden.

Persson, H.J., Fransson, J.E.S., Olsson, H., Soja, M.J., Ulander, L.M.H. 2016. TanDEM-X radar challenges airborne laser. The 2016 annual meeting of SRS, Umeå, Sweden.

Fransson, J.E.S., Santoro, M., Nilsson, M., Olsson, H., Persson, H.J., Wallerman, J., Eriksson, L.E.B., Soja, M.J., Ulander, L.M.H. 2016. Estimation of forest stem volume using ALOS-2 PALSAR-2 satellite images. IGARSS 2016, Advancing the Understanding of Our Living Planet, Beijing, China.

Soja, M.J., Eriksson, L.E.B., Ulander, L.M.H., Fransson, J.E.S., Nilsson, M., Olsson, H., Persson, H.J. 2016. ForMap: A Tool for Mapping and Monitoring of Forests in Sweden with TanDEM-X Interferometry and a Digital Terrain Model. Living Planet Symposium, Prague, Czech Republich.

Ulander, L.M.H., Soja, M.J., Monteith, A.R., Eriksson, L.E.B., Fransson, J.E.S., Persson, H.J. 2016. BorealScat:A Tower Experiment for Understanding of Temporal Changes in P- and L-band Backscattering from a Boreal Forest. Living Planet Symposium, Prague, Czech Republich.

Balzter, H., Rodriguez-Veiga, P., Tansey, K., Quegan, S., Carreiras, J., Persson, H.J., Fransson, J.E., Hoscilo, A., Ziolkowski, D., Dabrowska-Zielinska, K., Stereńczak, K., Lohberger, S., Stängel, M., Siegert, F., Avitabile, V., Mermoz, S., Bouvet, A., LeToan, T., Carval, N., Soja, M.J., Eriksson, L.E.B., Santoro, M., Pathe, C., Schmullius, C. 2016. GLOBBIOMASS Regional Case Studies – Preparing the Ground for Global Forest Biomass Mapping. Living Planet Symposium, Prague, Czech Republich.

Soja, M.J., Fransson, J.E.S., Nilsson, M., Persson, H.J., Ulander, L.M.H. 2015. Storskalig kartering av virkesförråd med radarinterferometri 2015. Remote Sensing Days, Stockholm, Sweden. PDF

Wallerman, J., Nyström, K., Bohlin, J., Persson, H.J., Soja, M.J., Fransson, J.E.S. 2015. Estimating forest age and site productivity using time series of 3D remote sensing data. IGARSS 2015 Symposium, Remote Sensing for a Dynamic Earth, Milan, Italy.

Persson, H.J., Fransson, J.E.S. 2015. Analysis of tree height growth with TanDEM-X data. 35th EARSeL 2015 Symposium, Stockholm, Sweden. PDF

Soja, M., Persson, H.J., Ulander, L.M.H. 2015. Detection of forest change and robust estimation of forest height from two-level model inversion of multi-temporal, single-pass InSAR data.. IGARSS 2015 Symposium, Remote Sensing for a Dynamic Earth, Milan, Italy.

Persson, H.J., Soja, M.J. 2015. Detection of thinning and clear-cuts using TanDEM-X data. IGARSS 2015 Symposium, Remote Sensing for a Dynamic Earth, Milan, Italy.

Soja, M., Persson, H.J., Ulander, L.M.H. 2014. Estimation of boreal forest biomass from two-layer model inversion of interferometric TanDEM-X data. IGARSS 2014, Quebec, Canada.

Persson, H.J., Santoro, M., Fransson, J.E.S. 2013. Estimation of forest variables using radargrammetry on TerraSAR-X data in combination with a high resolution DEM. ESA Living Planet Symposium, Edinburgh, Scotland.

Ulander, L.M.H., Askne, J., Eriksson, L., Fransson, J.E.S., Persson, H.J., Soja, M.J. 2013. Effects of tree species and season on boreal forest biomass estimates from TanDEM-X. 5th TerraSAR-X and 4th TanDEM-X Science Team Meeting, Oberpfaffenhofen, Germany.

Soja, M.J., Askne, J., Fransson, J., Persson, H.J., Ulander, L. 2013. Forest canopy modelling from TanDEM-X interferometry and Lidar DEM. Swedish Remote Sensing Days, Solna, Sweden.

Persson, H., Wallerman, J., Olsson, H., Fransson, J.E.S. 2012. Estimating biomass using DSM from satellite data and DEM from high-resolution laser scanning data. IGARSS 2012, Munich, Germany.

Persson, H. 2012. Estimation of forest variables using TanDEM-X data in combination with a high resolution DEM. ForestSAT, Corvallis, Oregon, USA.

Popular Science Papers

Persson, H., Soja, M., Olsson, H., Fransson, J.. 2015. Satellitbaserade 3D-data till hjälp för skogliga skattningar. Fakta Skog, p. 4, (in Swedish). PDF

Other publicity

2021-02-25 Nya programaktiviteter Mistra Digital Forest