Publikationer vid Skoglig fjärranalys

Senast ändrad: 12 januari 2024

Här listas publikationer inom ämnesområdet Skoglig fjärranalys. För att se alla publikationer vid SLU kan du gå till publikationsdatabasen.


2022

Vetenskapliga artiklar

Adnan, S.; Valbuena, R.; Kauranne, T.; Gopalakrishnan, R. & Maltamo, M. (2022). Optimizing the airborne laser scanning estimation of basal area larger than mean (BALM): An indicator of cohort balance in forests. Ecological Indicators, 142.

Duncanson, L.; Kellner, J.R.; Armston, J. …Valbuena , R.;… (2022). Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment, 270.

Holmgren, J.; Lindberg, E.; Olofsson, K. & Persson, H.J. (2022). Tree crown segmentation in three dimensions using density models derived from airborne laser scanning. International Journal of Remote Sensing, 43(1)299-329.

Huo, L.; Lindberg, E. & Holmgren, J. (2022). Towards low vegetation identification: A new method for tree crown segmentation from LiDAR data based on a symmetrical structure detection algorithm (SSD). Remote Sensing of Environment, 270.

Leite, R.V.; Silva, C.A.; Broadbent, E.N.; Amaral, C.H.; Liesenberg, V.; Almeida, D.R.A.; Mohan, M.; Godinho, S.; Cardil, A.; Hamamura, C.; Faria, B.L.; & … Valbuena, R. (2022) Large scale multi-layer fuel load characterization in tropical savanna using GEDI spaceborne lidar data. Remote Sensing of Environment, 268.

Li, N.; Huo, L. & Zhang, X. (2022). Classification of pine wilt disease at different infection stages by diagnostic hyperspectral bands. Ecological Indicators, 142.

Lindgren, N.; Nyström, K.; Saarela, S.; Olsson, H. & Ståhl, G. (2022). Importance of Calibration for Improving the Efficiency of Data Assimilation for Predicting Forest Characteristics. Remote Sensing, 14(18)4627.

Lindgren, N.; Olsson, H.; Nyström, K.; Nyström, M. & Ståhl, G. (2022). Data Assimilation of Growing Stock Volume Using a Sequence of Remote Sensing Data from Different Sensors. Canadian Journal of Remote Sensing, 48(2)127-143.

Nabuurs, G.G.; Harris, N.; Sheil, D.; Palahi, M.; Chirici, G.; Boissière, M.; Fay, C.; Reiche, J. & Valbuena, R. (2022). Glasgow forest declaration needs new modes of data ownership. Nature Climate Change, 12(5)415-417.

Nilsson, M.B.; Laudon, H.; Lundmark, T.; Fransson, J.E.S.; Wallerman, J. & Peichl, M. (2022). Overstory dynamics regulate the spatial variability in forest-floor CO2 fluxes across a managed boreal forest landscape. Agricultural and Forest Meteorology, 318.

Olofsson, K. & Holmgren, J. (2022). Co-registration of single tree maps and data captured by a moving sensor using stem diameter weighted linking. Silva Fennica, 56(3).

Peichl, M.; Martinez-Garcia, E.; Fransson, J.E.S.; Wallerman, J.; Laudon, H.; Lundmark, T.& Nilsson, M. B. (2022). Landscape-variability of the carbon balance across managed boreal forests. Global Change Biology, 29(4).

Persson, H.J.; Olofsson, K. & Holmgren, J. (2022). Two-phase forest inventory using very-high-resolution laser scanning. Remote Sensing of Environment, 271.

Persson, H.J.; Ekström, M. & Ståhl, G. (2022). Quantify and account for field reference errors in forest remote sensing studies. Remote Sensing of Environment, 283:113302.

Pires, R.P.; Olofsson K.; Persson, H.J.; Lindberg, E. & Holmgren, J. (2022). Individual tree detection and estimation of stem attributes with mobile laser scanning along boreal forest roads. ISPRS Journal of Photogrammetry and Remote Sensing, 187. 211224.

Silva, C.A.; Hudak, A.T.; Vierling, L.A.; Valbuena, R.; Cardil, A.; Mohan, M.; Alves Almeida, D.R.; Broadbent, E.N.; Zambrano, A.M.A.; Wilkinson, B.; Sharma, A.; Drake, J.B.; Medley, P.B.; Vogel, J.G.; Prata, G.A.; Atkins, J.W.; Hamamura, C.; Johnson, D.J. & Klauberg, C. (2022). Treetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists. Methods in Ecology and Evolution, 13.

Stoddart, J.; Alves de Almeida, D.R.; Silva, C.A.; Gorgens, E.B.; Keller, M. & Valbuena, R. (2022). A conceptual model for detecting small-scale forest disturbances based on ecosystem morphological traits. Remote Sensing, 14(4)933.

Thulin, C.G.; Sorhammar, M. & Bohlin, J. (2022). Black Stork Back: Species distribution model predictions of potential habitats for Black Stork Ciconia nigra in Sweden. Ornis Svecia, 32.

Wallin, E.; Wiberg, V.; Vesterlund, F.; Holmgren, J.; Persson, H. J. & Servin, M. (2022). Learning multiobjective rough terrain traversability. Journal of Terramechanics, 102. 17-26.

Yu, R.; Huo, L.; Huang, H.; Yuan, Y.; Gao, B.; Liu, Y.; Yu, L.; Li, H.; Yang, L.; Ren, L.; & Luo, Y. (2022). Early detection of pine wilt disease tree candidates using time-series of spectral signatures, Frontiers in Plant
Science, 13.

Examensarbeten

Munira, Sirajum, 2022.Transferability Analysis of Individual Tree Species Classification and Volume Estimation using Dual-Wavelength Airborne Laser Scanning in Boreal Forests. Supervisor: Eva Lindberg


2021

Doktorsavhandling

Lindgren, N. (2021). Data assimilation of forest variables predicted from remote sensing data. Department of Forest Resource Management, SLU, no. 2021:6.

Vetenskapliga artiklar

Axelsson, A.; Lindberg, E.; Reese, H. & Olsson, H. (2021). Tree species classification using Sentinel-2 imagery and Bayesian inference. International Journal of Applied Earth Observation and Geoinformation. 100.

Bohlin, I.; Maltamo Assessment, M.; Hedenås, H.; Lämås, T.; Dahlgren, J. & Mehtätalo, L. (2021). Predicting bilberry and cowberry yields using airborne laser scanning and other auxiliary data combined with National Forest Inventory field plot data. Forest Ecology and Management. 502.

Bohlin, J.; Wallerman, J. & Fransson, J.E.S. (2021). Extraction of spectral information from airborne 3D data for of tree species proportions. Remote Sensing. 13(4).

Breidenbach, J.; Ivanovs, J.; Kangas, A.; Nord-Larsen, T.; Nilsson, M. & Astrup, R. (2021). Improving living biomass C-stock loss estimates by combining optical satellite, airborne laser scanning, and NFI data. Canadian Journal of Forest Research. 51(10)1472-1485.

Huo, L.; Persson, H-J. & Lindberg, E. (2021). Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS). Remote Sensing of Environment. 255.

Huo, L., & Xiaoli, Z. (2021). The Method of Matching Single Tree Information Extracted by Point Cloud to the Reference Data from Field Work through Bidirectional Selection. Scientia Silvae Sinica. 57(3)181-188.

Huo, L., & Xiaoli, Z. (2021). Individual Tree Information Extraction and Accuracy Evaluation Based on Airborne LiDAR Point Cloud by Multilayer Clustering Method. Scientia Silvae Sinica. 57(1)85-94.

Klein, J.; Low, M.; Thor, G.; Sjögren, J.; Lindberg, E. & Eggers, S. (2021). Tree species identity and composition shape the epiphytic lichen community of structurally simple boreal forests over vast areas. PLoS ONE. 16(9).

Lindberg, E.; Holmgren, J. & Olsson, H. (2021). Classification of tree species classes in a hemi-boreal forest from multispectral airborne laser scanning data using a mini raster cell method. International Journal of Applied Earth Observation and Geoinformation. 100.

Lindgren, N.; Wästlund, A.; Bohlin, I.; Nyström, K.; Nilsson, M. & Olsson, H. (2021). Updating of forest stand data by using recent digital photogrammetry in combination with older airborne laser scanning data. Scandinavian Journal of Forest Research. 36(5)401-407.

Lundbäck, M.; Persson, H.; Häggström, C. & Nordfjell, T. (2021). Global analysis of the slope of forest land. Forestry. 94(1)54-69.

Marra, E.; Wictorsson, R.; Bohlin, J.; Marchi, E. & Nordfjell, T. (2021). Remote measuring of the depth of wheel ruts in forest terrain using a drone. International Journal of Forest Engineering. 32(3)224-234.

Miina, J.; Bohlin, I.; Lind, T.; Dahlgren, J.; Harkonen, K.; Packalen, T. & Tolvanen, A. (2021). Lessons learned from assessing the cover and yield of bilberry and lingonberry using the national forest inventories in Finland and Sweden. Silva Fennica. 55(5).

Palahi, M. ; Valbuena, R.; Senf, C.; Acil, N.; Pugh, T. A. M.; Sadler, J.; Seidl, R.; Potapov, P; Gardiner, B.; Hetemaeki, L.; Chirici, G.; Francini, S.; Hlasny, T.; Lerink, B.J.W.; Olsson, H.; Gonzalez O.J.R.; Ascoli, D.; Asikainen, A.; Bauhus, J.; Berndes, G.; Donis, J.; Fridman, J.; Hanewinkel, M.; Jactel, H.; Lindner, M.; Marchetti, M.; Marusak, R.; Sheil, D.; Tome, M.; Trasobares, A.; Verkerk, P.J.; Korhonen, M. & Nabuurs, G-J. (2021). Concerns about reported harvests in European forests. Nature. 592(7856)E15-E17.

Persson, H.J.; Jonzen, 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 Observation and Geoinformation. 96.

Santoro, M.; Cartus, O. & Fransson, J.E.S. (2021). Integration of allometric equations in the water cloud model towards an improved retrieval of forest stem volume with L-band SAR data in Sweden. Remote Sensing of Environment. 253.

Söderberg, J.; Wallerman, J.; Almang, A.; Moller, J.J. & Willen, E. (2021). Operational prediction of forest attributes using standardised harvester data and airborne laser scanning data in Sweden. Scandinavian Journal of Forest Research. 364(4).

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. 13(16).

Examensarbeten

Genlund, Kristoffer 2021. Skattning av tidpunkt för förstagallring med hjälp av tillväxtmodeller. Supervisor: Jörgen Wallerman


2020

Vetenskapliga artiklar

Chi, J.; Nilsson, M.B.; Laudon, H.; Lindroth, A.; Wallerman, J.; Fransson, J.E.S.; Kljun, N.; Lundmark, T.; Ottosson Löfvenius, M. & Peichl, M. (2020). The net landscape carbon balance-integrating terrestrial and aquatic carbon fluxes in a managed boreal forest landscape in Sweden. Global Change Biology. 26(4):2353-2367.

Forzieri ,G.; Pecchi, M.; Girardello, M.; Mauri, A.; Klaus, M.; Nikolov, C.; Rüetschi, M.; Gardiner, B.; Tomaštík, J.; Small, D.; Nistor, C.; Jonikavicius, D.; Spinoni, J.; Feyen, L.; Giannetti, F.; Comino, R.; Wolynski, A.; Pirotti, F.; Maistrelli, F.; Savulescu, I.; Wurpillot-Lucas, S.; Karlsson, S.; Zieba-Kulawik, K.; Strejczek-Jazwinska, P.; Mokroš, M.; Franz, S.; Krejci, L.; Haidu, I.; Nilsson, M.; Wezyk, P.; Catani, F.; Chen, Y-Y.; Luyssaert, S.; Chirici, G.; Cescatti, A. & Beck, P. (2020). A spatially explicit database of wind disturbances in European forests over the period 2000-2018. Earth System Science Data. 12(1):257-276.

Huo, L. & Lindberg, E. (2020). Individual tree detection using template matching of multiple rasters derived from multispectral airborne laser scanning data. International Journal of Remote Sensing. 41(24):9525-9544.

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. 46(6):661-680.

Klein, J.; Haverkamp, P.; Lindberg, E.; Griesser, M. & Eggers, S. (2020). Remotely sensed forest understory density and nest predator occurrence interact to predict suitable breeding habitat and the occurrence of a resident boreal bird species. Ecology and Evolution. 10(4):2238-2252.

Klein, J.; Thor, G.; Low, M.; Sjögren, J.; Lindberg, E. & Eggers, S. (2020). What is good for birds is not always good for lichens: Interactions between forest structure and species richness in managed boreal forests. Forest Ecology and Management. 473.

Kozii, N.; Haahti, K.; Torngren, P.; Chi, J.; Maher Hasselquist, E.; Laudon, H.; Launiainen, S.; Oren, R.; Peichl, M.; Wallerman, J. & Hasselquist, N. (2020). Partitioning growing season water balance within a forested boreal catchment using sap flux, eddy covariance, and a process-based model Hydrology and Earth System Sciences. 24(6):2999-3014.

Leonardo, E.; Watt, M.; Pearse, G.; Dash, J. & 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. 246.

Lidberg, W.; Nilsson, M. & Ågren, A. (2020). Using machine learning to generate high-resolution wet area maps for planning forest management: A study in a boreal forest landscape. AMBIO:A Journal of the Human Environment. 49(2):475-486.

Persson, H.J.; Soja, M.J.; Fransson, J.E.S. & Ulander, L.M.H. (2020). National Forest Biomass Mapping Using the Two-Level Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13:6391-6400.

Persson, H.J. & Ståhl, G. (2020). Characterizing Uncertainty in forest remote sensing studies. Remote Sensing. 12(3).

Stelmaszczuk-Górska, M.; Aguilar-Moreno, E.; Casteleyn, S.; Vandenboucke, D.; Miguel-Lago, M.; Dubois, C.; Lemmens, R.; Vancauwenberghe, G.; Olijslagers, M.; Lang, S.; Albrecht, F.; Belgiu, M.; Kriger, V.; Jagdhuber, T.; Fluhrer, A.; Soja, M.; 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 DevelopmentXLIIIB5-2020 pp:15-22. DOI:10.5194/isprs-archives-XLIIIB5-2020-15-2020

Versluijs, M.; Hekkala, A-M.; Lindberg, E. & Lämås, T. (2020). Comparing the effects of even-aged thinning and selective felling on boreal forest birds. Forest Ecology and Management. 475.

Wallerman, J.; Nyström, K.; Nilsson, M.; Axensten, P.; Egberth, M.; Jonzen, J.; Sandström, E.; Fransson, J.E.S. & Olsson, H. Nation-wide mapping of tree growth using repeated airborne laser scanning. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing
Symposium: proceedings.

Zahriban Hesari, M.; Shataee, S.; Maghsoudi, Y.; Mohammadi, J.; Fransson, J.E.S. & Persson, H.J. (2020). Forest variable estimations using TanDEM-X data in hyrcanian forests. Canadian Journal of Remote Sensing. 46(2):166-176.

Rapporter

Adelsköld, G.; Högström, M.; Lagerstedt, J. & Olsson, H. (2020). GET-tjänsten och infrastrukturen för distribution av geodata till universitet och högskolor. Institutionen för skoglig resurshushållning, Sveriges lantbruksuniversitet. Arbetsrapport/Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning. 512.

Forsberg, M.; Sabel, L.; Nässert Ericsson, M.; Paasch, J.; Steffen, H.; Olsson H.; Harrie, L.; Horemuz, M. & Ågren, J. (2020). Långsiktig kompetensförsörjning inom geodataområdet. Geodatarådet.

Solberg, S.; Ulander, L.M.H.; Fransson, J.E.S.; Persson, H.J. & Wallerman, J. (2020). Technical assistance in the implementation of a C-band convoy mission demonstration campaign. In Final report, European Space Agency (ESA). 136 p.

Willen, E.; Söderberg, J.; Lindgren, N.; Olsson, H. & Bohlin, J. 2020. Skogliga fjärranalysskattningar – utvärdering av fotogrammetrimetoder samt laser- och skördardata i gallringsskogar. Arbetsrapport 1067- 2020, Skogforsk. 22 p.

Examensarbeten

Nilsson, August, 2020. Kartering av lämnade hänsynsområden vid slutavverkning med hjälp av fjärranalys. Supervisor: Jonas Bohlin

Kingstad, Victor, 2020. Evaluated density estimates of young forest stands using high resolution 2D imagery from UAV. Supervisor: Jonas Bohlin


2019

Vetenskapliga artiklar

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. 11(14).

Burian, A.; Karaya, R.; Wernersson, J.E.V.; Egberth, M.; Lokorwa, B. & Nyberg, G. (2019). A community-based evaluation of population growth and agro-pastoralist resilience in Sub-Saharan drylands. Environmental Science and Policy. 92:323-330.

Chi, J.S.; Nilsson, M.B.; Kljun, N.; Wallerman, J.; Fransson, J.E.S.; Laudon, H.; Lundmark, T. & Peichl, M. (2019). The carbon balance of a managed boreal landscape measured from a tall tower in northern Sweden. Agricultural and Forest Meteorology. 274:29-41.

Holmgren, J.; Tulldahl, M.; Nordlof, J.; Willen, E. & Olsson, H. (2019). Mobile Laser Scanning for Estimating Tree Stem Diameter Using Segmentation and Tree Spine Calibration. Remote Sensing. 11(23).

Holmgren, J. & Lindberg, E. (2019). Tree crown segmentation based on a tree crown density model derived from Airborne Laser Scanning. Remote Sensing Letters. 10(12):1143-1152.

Hovi, A.; Lindberg, E.; Lang, M.; Arumae, T.; Peuhkurinen, J.; Sirparanta, S.; Pyankov, S. & Rautiainen, M. (2019). Seasonal dynamics of albedo across European boreal forests: Analysis of MODIS albedo and structural metrics from airborne LiDAR. Remote Sensing of Environment. 224:365-381.

Rodriguez-Veiga, P.; Quegan, S.; Carreiras, J.; Persson, H.J.; Fransson, J.E.S.; Hoscilo, A.; Ziolkowski, D.; Sterenczak, K.; Lohberger, S.; Stangel, M.; Berninger, A.; Siegert, F.; Avitabile, V.; Herold, M.; Mermoz, S.; Bouvet, A.; Toan, T.L.; Carvalhais, N.; Santoro, M.; Cartus, O.;

Rauste, Y.; Mathieu, R.; Asner, G.P.; Thiel, C.; Pathe, C.; Schmullius, C.; Seifert, F.M.; Tansey, K. & Balzter, H. (2019). Forest biomass retrieval approaches from earth observation in different biomes. International Journal of Applied Earth Observation and Geoinformation. 77:53-68.

Santoro, M.; Cartus, O.; Fransson, J.E.S. & Wegmuller, U. (2019). Complementarity of X-, C-, and L-band SAR Backscatter Observations to Retrieve Forest Stem Volume in Boreal Forest. Remote Sensing. 11(13).

Rapporter

Fransson, J.E.S.; Olsson, H.; Wallerman, J.; Persson, H.J.; Ulander, L.M.H; Eriksson, L.E.B.; Soja, M.J.; & Santoro, M. (2019). Retrieval of forest biomass and biomass change using PALSAR data. In: Final Report on the 4th ALOS-2 Research Announcement, Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center (EORC), NDX-2018023. pp. 685-695.

Fransson, J.E.S. & Santoro, M. (2019). K&C Final Science Report – Phase 4, Retrieval of forest biomass and biomass change with spaceborne SAR. In: The ALOS Kyoto & Carbon Initiative, Science Team Reports, Phase
4 (2015-2019), Japan Aerospace Exploration Agency, Earth Observation Research Center, 2-1-1 Sengen, Tsukuba-shi, Ibaraki 305-8505, Japan, JAXA EORC, NDX-2019009. pp. 258-270.

Olsson, H.; Heden, P.; Fröjdenlund, J. & André, P. (2019). Rapport geodatarådets handlingsplan 2018. Aktivitet 1d: Användarbehov inom de areella näringarnas ekosystem, en del av fokusområdet Användarbehov och samhällsnytta. Geodatarådet och Lantmäteriet. Dnr: LM 2019/001170.

Examensarbeten

Holmgren, Robert, 2019. Reliabilitet i mätning av trädhöjd : en jämförelse mellan fjärranalysmetoder samt mätning i fält. Supervisor: Mattias Nyström.

Isaksson, Joakim och Johansson, Lars, 2019. Metoder för höjdkorrigering av punktmoln generade från drönarbilder. Supervisor: Jonas Bohlin.

Larsson, Karl, 2019. Skattningar av ståndortsindex – med flygburen laserskanning, allmänt tillgänglig information eller skördarmätningar? Supervisor: Jörgen Wallerman.

Lindberg, Lisa och Persson, Martin, 2019. Kan ytmodeller och punktmoln från stereomatchade flygbilder användas för att prediktera trädhöjd vid skogskanter? : en jämförelse mot flygburen laserskanning. Supervisor: Jonas Bohlin.

Udali, Alberto, 2019. Assessing the accuracy for area-based tree species classification using Sentinel-1 C-band SAR data. Supervisor: Henrik Persson.


2018

Doktorsavhandling

Forsman, M. 2018. Tree stem diameter estimation from terrestrial point clouds. Department of Forest Resource Management, SLU, no. 2018:54.

Vetenskapliga artiklar

Askne, J.I.H., Persson, H.J. and Ulander, L.M.H. 2018. Biomass growth from multitemporal TanDEM-X interferometric Synthetic Aperture Radar observations of a boreal forest site. Remote Sensing, vol. 10, no. 4.  

Axelsson, A., Lindberg, E. and Olsson, H. 2018. Exploring multispectral ALS data for tree species classification. Remote Sensing, vol. 10, no. 2.   

Ehlers, S., Saarela, S., Lindgren, N., Lindberg, E., Nyström, M., Persson, H., Olsson, H. and Ståhl, G. 2018. Assessing error correlations in remote sensing-based estimates of forest attributes for improved composite estimation. Remote Sensing, vol. 10, no. 5.   

Forsman, M., Börlin, N., Olofsson, K., Reese, H. and Holmgren, J. 2018. Bias of cylinder diameter estimation from ground-based laser scanners with different beam widths: A simulation study. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 135, pp. 84-92.

Kangas, A., Astrup, R., Breidenbach, J., Fridman, J., Gobakken, T., Korhonen, K.T., Maltamo, M., Nilsson, M., Nord-Larsen, T., Naesset, E. and Olsson, H. 2018. Remote sensing and forest inventories in Nordic countries - roadmap for the future. Scandinavian Journal of Forest Research, vol. 33, no. 4, pp. 397-412.

Liang, X., Hyyppä, J., Kaartinen, H., Lehtomäki, M., Pyörälä, J., Pfeifer, N., Holopainen, M., Brolly, G., Francesco, P., Hackenberg, J., Huang, H., Jo, H.-W., Katoh, M., Liu, L., Mokroš, M., Morel, J., Olofsson, K., Poveda-

Lopez, J., Trochta, J., Wang, D., Wang, J., Xi, Z., Yang, B., Zheng, G., Kankare, V., Luoma, V., Yu, X., Chen, L., Vastaranta, M., Saarinen, N. and Wang, Y. 2018. International benchmarking of terrestrial laser scanning approaches for forest inventories. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 144, pp. 137-179.

Vastaranta, M., Yu, X., Luoma, V., Karjalainen, M., Saarinen, N., Wulder, M.A., White, J.C., Persson, H.J., Hollaus, M., Yrttimaa, T., Holopainen M. and 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, pp. 8766-8783.  

Mononen, L., Auvinen, A.-P., Packalen, P., Virkkala, R., Valbuena, R., Bohlin, I., Valkama, J. and Vihervaara, P. 2018. Usability of citizen science observations together with airborne laser scanning data in determining the habitat preferences of forest birds. Forest Ecology and Management, vol. 430, pp. 498-508.

Olofsson, K. and Olsson, H. 2018. Estimating tree stem density and diameter distribution in single-scan terrestrial laser measurements of field plots: A simulation study. Scandinavian Journal of Forest Research, vol. 33, no. 4, pp. 365-377.

Pearse, G.D., Dash, J.P., Persson, H.J. and Watt, M.S. 2018. Comparison of high-density LiDAR and satellite photogrammetry for forest inventory. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 142, pp. 257-267.

Persson, M., Lindberg, E. and Reese, H. 2018. Tree species classification with multi-temporal sentinel-2 data. Remote Sensing, vol. 10, no. 11.  

Soja, M.J., Persson, H.J. and Ulander, L.M.H. 2018. Modeling and detection of deforestation and forest growth in multitemporal TanDEMX data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 10, pp. 3548-3563.  

Wästlund, A., Holmgren, J., Lindberg, E. and Olsson, H. 2018. Forest variable estimation using a high altitude single photon lidar system. Remote Sensing, vol. 10, no. 9.

Rapport

Olsson, H., Lindberg, E., Wallerman, J. and Holmgren, J. 2018. Fjärranalysforskning på Remningstorp – exempel från SLU. Arbetsrapport, Institutionen för skoglig resurshushållning, Sveriges lantbruksuniversitet, vol. 479. 

Examensarbeten

Ellingsson,  Anders, 2018. Field- and aerial image estimation of residual timber volumes in Medelpad after the storms of the 2010s. Supervisor: Jörgen Wallerman.

Jansson, Carl, 2018. Identification of uneven-aged stands using photogrammetry and airborne laser scanning. Supervisor: Eva Lindberg.

Larsson, Helene, 2018. Classification of ground lichen using Sentinel-2 and airborne laser data. Supervisor: Heather Reese.

Persson, Magnus, 2018. Tree species classification using multi-temporal Sentinel-2 data. Supervisors: Heather Reese and Eva Lindberg.

Selin, Lina, 2018. Modeling of Effective Leaf Area Index. Supervisor: Henrik Persson.

Wennerlund, Lisa, 2018. Evaluating the need of cleaning using 3D point clouds derived from high resolution images collected with a drone. Supervisors: Jonas Bohlin and Jonas Jonzén.


 2017

Doktorsavhandling

Bohlin, J. 2017. Data collection for forest management planning using stereo photogrammetry. Department of Forest Resource Management, SLU, no. 2017:109.

Vetenskapliga artiklar

Bohlin, J., Bohlin, I., Jonzen, J. and Nilsson, M. 2017. Mapping forest attributes using data from stereophotogrammetry of aerial images and field data from the National Forest Inventory. Silva Fennica, vol. 51, no. 2, 18 p.

Bohlin, I., Olsson, H., Bohlin, J. and Granström, A. 2017. Quantifying post-fire fallen trees using multi-temporal lidar. International Journal of Applied Earth Observation and Geoinformation, vol. 63, pp. 186-195.

De Conto, T., Olofsson, K., Görgens, E., Rodriguez, L. and Almeida, G. 2017. Performance of stem denoising and stem modelling algorithms on single tree point clouds from terrestrial laser scanning. Computers and Electronics in Agriculture, vol. 143, pp. 165-176.

Granholm, A-H., Lindgren, N., Olofsson, K., Nyström, M., Allard, A. and Olsson, H. 2017. Estimating vertical canopy cover using dense image-based point cloud data in four vegetation types in southern Sweden. International Journal of Remote Sensing, vol. 38, no. 7, pp. 1820-1838.

Husson, E., Reese, H and Ecke, F. 2017. Combining spectral data and a DSM from UASimages for improved classification of non-submerged aquatic vegetation. Remote Sensing, vol. 9, no. 3, 15 p.

Lindberg, E. and Holmgren, J. 2017. Individual tree crown methods for 3D data from remote sensing. Current Forestry Reports, vol. 3, no. 1, pp. 19-31

Lindgren, N., Persson, H.J., Nyström, M., Nyström, K., Grafström, A., Muszta, A., Willén, E., Fransson J.E.S., Ståhl, G. and Olsson, H. 2017. Improved prediction of forest variables using data assimilation of interferometric synthetic aperture radar data. Canadian Journal of Remote Sensing, vol. 43, no. 4, pp. 374-383.

Milenkovic, M., Schnell, S., Holmgren, J., Ressl, C., Lindberg, E., Hollaus, M., Pfeifer, N. and Olsson, H. 2017. Influence of footprint size and geolocation error on the precision of forest biomass estimates from space-borne waveform LiDAR. Remote Sensing of Environment, vol. 200, pp. 74-88.

Nilsson, M., Nordkvist, K., Jonzen, J., Lindgren, N., Axensten, P., Wallerman, J., Egberth, M., Larsson, S., Nilsson, L., Eriksson, J. and Olsson, H. 2017. A nationwide forest attribute map of Sweden predicted using airborne laser scanning data and field data from the National Forest Inventory. Remote Sensing of Environment, vol. 194, pp. 447-454.

Persson, H.J. and Fransson, J.E.S. 2017. Comparison between TanDEM-X- and ALS-based estimation of aboveground biomass and tree height in boreal forests. Scandinavian Journal of Forest Research, vol. 32, no. 4, pp. 306-319.

Persson, H.J., Olsson, H., Soja, M.J., Ulander, L.M.H. and Fransson, J.E.S. 2017. Experiences from large-scale forest mapping of Sweden using TanDEM-X data. Remote Sensing, vol. 9, no. 12, 26 p

Populärvetenskapligt

Olofsson, K., Holmgren, J., Lindberg, E., Nyström, M. and Olsson. H. 2017. Markbaserad laserskanning. Fakta Skog, no. 2, Sveriges lantbruksuniversitet.

Examensarbeten

Axelsson, Arvid, 2017. Using multispectral ALS for tree species identification. Supervisor: Eva Lindberg, SLU.

Benjaminson, Simon, 2017. Forest inventory on individual tree level using stereo matching of aerial images taken from a drone. Supervisor: Jörgen Wallerman, SLU.

Jakobsson, Oscar, 2017. Control assessment using drones at Norra Skogsägarna. Supervisor: Jonas Bohlin, SLU.


2016

Licentiat 

Granholm, Ann-Helen (2016). Segmentation of forest patches and estimation of canopy cover using 3D information from stereo photogrammetry. Umeå : Sveriges lantbruksuniv. 

Vetenskapliga artiklar

Bohlin, J., Wallerman, J. and Fransson, J.E.S. 2016. Deciduous forest mapping using change detection of multi-temporal canopy height models from aerial images acquired at leaf-on and leaf-off conditions. Scandinavian Journal of Forest Research, vol. 31, no. 5, pp. 517-525.

Forsman, M., Börlin, N. and Holmgren, J. 2016. Estimation of tree stem attributes using terrestrial photogrammetry with a camera rig. Forests, vol. 7, no. 3.

Forsman, M., Holmgren, J. and Olofsson, K. 2016. Tree stem diameter estimation from mobile laser scanning using line-wise intensitybased clustering. Forests, vol. 7, no. 9.

Husson, E., Ecke, F. and Reese, H. 2016. Comparison of manual mapping and automated object-based image analysis of non-submerged aquatic vegetation from very-high-resolution UAS Images. Remote Sensing, vol. 8, no. 9.

Karlson, M., Ostwald, M., Reese, H., Bazié, H-R. and Tankoano, B. 2016. Assessing the potential of multi-seasonal WorldView-2 imagery for mapping West African agroforestry tree species. International Journal of Applied Earth Observation and Geoinformation, vol. 50, pp. 80-88.

Naesset, E., Orka, H-O., Solberg, S., Bollandsås, O-M., Hansen, E-H., Mauya, E., Zahabu, E., Malimbwi, R., Olsson, H. and Gobakken, T. 2016. Mapping and estimating forest area and aboveground biomass in miombo woodlands in Tanzania using data from airborne laser scanning, TanDEM-X, RapidEye, and global forest maps: A comparison of estimated precision. Remote Sensing of Environment, vol. 175, pp. 282-300.

Olofsson, K. and Holmgren, J. 2016. Single tree stem profile detection using terrestrial laser scanner data, flatness saliency features and curvature properties. Forests, vol. 7, no. 9.

Persson, H. 2016. Estimation of boreal forest attributes from very high resolution pleiades data. Remote Sensing, vol. 8, no. 9. 

Persson, H. and 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, pp. 3598-3606.

Persson, H. and Perko, R. 2016. Assessment of boreal forest height from WorldView-2 satellite stereo images. Remote Sensing Letters, vol. 7, no. 12, pp. 1150-1159.

Roberge, C., Wulff, S., Reese, H. and Ståhl, G. 2016. Improving the precision of sample-based forest damage inventories through two-phase sampling and post-stratification using remotely sensed auxiliary information. Environmental Monitoring and Assessment, vol. 188, no. 4.

Saad, R., Wallerman, J., Holmgren, J. and Lämås, T. 2016. Local pivotal method sampling design combined with micro stands utilizing airborne laser scanning data in a long term forest management planning setting. Silva Fennica, vol. 50, no. 2.

Wang, Y., Hyyppä, J., Liang, X., Kaartinen, H., Yu, X., Lindberg, E., Holmgren, J., Qin, Y., Mallet, C., Ferraz, A. and Torabzadeh, H. 2016. International benchmarking of the individual tree detection methods for modeling 3-D canopy structure for silviculture and forest ecology using airborne laser scanning. IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 9, pp. 5011-5027.

Konferensbidrag

Fransson, J.E.S., Santoro, M., Wallerman, J., Persson, H., Monteith, A.R., Eriksson, L.E.B., Nilsson, M., Olsson, H., Soja, M.J. and Ulander, L.M.H. 2016. Estimation of forest stem volume using ALOS-2 PALSAR-2 satellite images. Proc. IGARSS 2016 - Advancing the understanding of our living planet, IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, 2016.

Balzter, H., Rodriguez-Veiga, P., Tansey, K., Carreiras, J., Quegan, S., Persson, H., Hoscilo, A., Dabrowska-Zielinska, K., Stereczak, K. and Schmullius, C. 2016. GLOBBIOMASS - Regional case studies, preparing the ground for global forest biomass mapping. Proc. Living Planet Symposium, Proc. of ESA Living Planet Symposium, Prague, Czech Republic, 9-13 May, 2016.

Ulander, L.M.H., Monteith, A.R., Soja, M.J., Persson, H., Fransson, J.E.S. and Eriksson, L.E.B. 2016. BorealScat: A tower experiment for understanding of temporal changes in P- and Lband backscattering from a boreal forest. Proc. Living Planet Symposium, Proc. of ESA Living Planet Symposium, Prague, Czech Republic, 9-13 May, 2016.

Rapport

Larsson, S., Nilsson, L., Persson, A., André, P., Eriksson, J., Kristiansson, K., Lysell, G., Nilsson, M., Jonzén, J. and Olsson, H. 2016. Skogliga skattningar från laserdata, Meddelande/ Skogsstyrelsen, no. 4.

Populärvetenskapligt

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

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

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

Examensarbeten

Forsman, Karl, 2016. Using structure from motion for stockpile inentory in the forest industry. Supervisors: Jonas Bohlin, SLU and Mattias Nyström, SLU.

Romlin Fredriksson, Anton, 2016. Fjärranalysstödd objektiv uppskattning av virkesförråd för värdering av fastigheter. Handledare: Håkan Olsson, SLU.   

Sjödin, Edward, 2016. Analys av säsongsvariationer vid skattning av skogliga variabler med InSAR teknik. Handledare: Henrik Persson, SLU och Mattias Nyström, SLU. 

Straker, Adrian, 2016. Comparison of forest fire severity classification models based on aerial images and Landsat 8 OLI/TIRS images of a forest fire area in central Sweden. Supervisor: Jonas Bohlin, SLU. 

Wästlund, André, 2016. Framskrivning av ALS data med TanDEM-X. Handledare: Henrik Persson, SLU och Nils Lindgren, SLU. 


2015

Vetenskapliga artiklar

Bohlin, J., Wallerman, J. and Fransson, J.E.S. 2015. Deciduous forest mapping using change detection of multi-temporal canopy height models from aerial images acquired at leaf-on and leaf-off conditions. Scandinavian Journal of Forest Research, vol. 31(5), 517-525.

Eysn, L., Hollaus, M., Lindberg, E., Berger, F., et al. 2015. A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space. Forests, vol. 6(5), 1721-1747.

Granholm, A.-H., Olsson, H., Nilsson, M., Allard, A. and Holmgren, J. 2015. The potential of digital surface models based on aerial images for automated vegetation mapping. International Journal of Remote Sensing, vol. 36(7), 1855-1870.

Karlson, M., Ostwald, M., Reese, H., Sanou, J., Tankoano, B. and Mattsson, E. 2015. Mapping Tree Canopy Cover and Aboveground Biomass in Sudano-Sahelian Woodlands Using Landsat 8 and Random Forest. Remote Sensing, vol. 7(8), 10017-10041.

Lindberg, E., Roberge, J-M., Johansson, T. and Hjältén J. 2015. Can Airborne Laser Scanning (ALS) and Forest Estimates Derived from Satellite Images Be Used to Predict Abundance and Species Richness of Birds and Beetles in Boreal Forest? Remote Sensing, vol. 7(4), 4233-4252. 

Lindgren, N., Christensen, P., Nilsson, B., Åkerholm, M., Allard, A., Reese, H. and Olsson, H. 2015. Using Optical Satellite Data and Airborne Lidar Data for a Nationwide Sampling Survey. Reomte Sensing, vol. 7(4), 4253-4267.  

Lämås, T., Sandström, E., Jonzén, J., Olsson, H., and Gustafsson, L. 2015.  Tree retention practices in boreal forests – what kind of future landscapes are we creating? Scandinavian Journal of Forest Research, vol. 30(6).

Nyström, M., Lindgren, N., Wallerman, J., et al. 2015. Data Assimilation in Forest Inventory: First Empirical Results. Forests, vol. 6(12), 4540-4557.

Reese, H., Nordkvist, K., Nyström, M., Bohlin, J. and Olsson, H. 2015. Combining point clouds from image matching with SPOT 5 multispectral data for mountain vegetation classification. International Journal of Remote Sensing, vol. 36(2), 403-416.

Saad, R., Wallerman, J. and Lämås, T. 2015. Estimating stem diameter distributions from airborne laser scanning data and their effects on long term forest management planning. Scandinavian Journal of Forest Research, vol. 30(2), 186-196.

Saarela, S., Grafström, A., Ståhl, G., Kangas, A., Holopainen, M., Tuominen, S., Nordkvist, K., Hyyppä, J. 2015.  Model-assisted estimation of growing stock volume using different combinations of LiDAR and Landsat data as auxiliary information. Remote Sensing of Environment, vol. 158, 431-440.

Santoro, M., Beaudoin, A., Beer, C., Cartus, O., Fransson, J.E.S, et al. 2015. Forest growing stock volume of the northern hemisphere: Spatially explicit estimates for 2010 derived from Envisat ASAR. Remote Sensing of Environment, vol. 168, 316-334.

Santoro, M., Eriksson, L.E.B. and Fransson, J.E.S. 2015. Reviewing ALOS PALSAR Backscatter Observations for Stem Volume Retrieval in Swedish Forest. Remote Sensing, vol. 7(4), 4290-4317.

Soja, M.J., Persson, H. and 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(9), 5083-5099.

Soja, M.J., Persson, H. and 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(3), 646-650. 

Solberg, S., Gizachew, B., Nasset, E., et al. 2015. Monitoring forest carbon in a Tanzanian woodland using interferometric SAR: a novel methodology for REDD+. Carbon Balance and Management, vol. 10(14).

Konferensbidrag

Adler, S., Blicharska, M., Esselin, A., Hedblom, M., Hedenås, H., Mikusinski, G., Sandström, S., Sandström, P., Svensson, J., Wardel, D. and Reese, H. 2015. Modelling the distribution of reindeer lichens as a proxy for the Ecosystem service reindeer meat: An example from the project “National monitoring for assessing and valuating ecosystem services in Fennoscandian alpine and boreal landscapes”. Poster Tartu Aug 2015 – in press.

Bohlin, J., Blombäck, J., Wallerman, J. and Fransson, J. 2015. Updating the National Forest Attribute Map using stereo matching of aerial images, the national terrain model and data from the National Forest Inventory? SilviLaser 2015, La Grand Motte, France, September 28-30, 2015.

Granholm, A., Lindgren, N., Olofsson, K., Allard, A. and Olsson, H. 2015. Estimating vertical canopy cover with dense point cloud data from matching of digital aerial photos. EARSel, 2015, Stockholm, Sweden, June 15-18, 2015.

Holmgren, J., Olofsson, K., Nyström, M. and Olsson, H. 2015. Estimation of tree stem attributes using ground based and airborne laser scanning. SilviLaser 2015, La Grand Motte, France, September 28-30, 2015.

Husson, E., Reese, H. and Ecke, F. 2015. Comparison of manual mapping and object-based digital image analysis for identifying aquatic vegetation in 5cm-resolution remote sensing images. 14th International Symposium on Aquatic Plants, Edinburgh, Scotland, September 14-18, 2015.

Lindgren, N., Nyström, M., Wallerman, J., Ehlers, S., Grafström, A., Muszta, A., Nyström, K., Willén, E., Fransson, J.E.S., Bohlin, J., Olsson, H. and Ståhl, G. 2015. Data assimilation in stand level forest inventory – first results. IBFRA 2015, Rovaniemi, Finland, May 24-29, 2015.

Lindberg, E., Roberge, J-M., Johansson, T., Hollaus, M., Holmgren, J. and Hjältén, J. 2015. Individual tree properties from ALS data as input to habitat analysis in boreal forest. SilviLaser 2015, La Grand Motte, France, September 28-30, 2015.

Lindberg, E., Roberge, J-M., Johansson, T. and Hjältén, J. 2015. Does detailed vegetation structure derived from airborne laser scanning (ALS) contribute to prediction of abundance and species richness of birds and beetles in boreal forest? Book of Abstracts, IUFROLE WG Conference in Tartu, Estonia, 2015: Sustaining ecosystem services in forest landscapes. pp.96-96.

Lindberg, E., Briese, C., Doneus, M., Hollaus, M., Schroiff, A. and Pfeifer, N. 2015. Multi-wavelength Airborne Laser Scanning for Characterization of Tree Species. Proceedings of SilviLaser 2015: 14th conference on Lidar Applications for Assessing and Managing Forest Ecosystems. La Grande Motte, France. pp 271-273.

Nilsson, M., Nordkvist, K., Jonzén, J., Lindgren, N., Axensten, P., Wallerman, J., Egberth, M., Larsson, S., Nilsson, L., Eriksson, J. and Olsson, H. 2015. A nationwide forest attribute map of Sweden derived using airborne laser scanning data and field data from the national forest inventory. SilviLaser 2015, La Grand Motte, France, September 28-30, 2015.

Nyström, M., Lindgren, N., Wallerman, J., Ehlers, S., Grafström, A., Muszta, A., Nyström, K., Willén, E., Fransson, J.E.S., Bohlin, J., Olsson, H. and Ståhl, G. 2015. Assimilating remote sensing data with forest growth models. EARSeL, 2015, Stockholm, Sweden, June 15-18, 2015.

Nyström, M., Lindgren, N., Wallerman, J., Grafström, A., Muszta, A., Nyström, K., Ståhl, G. and Olsson, H. 2015. Data assimilation in forestry, first practical results using ALS data. SilviLaser 2015, La Grand Motte, France, September 28-30, 2015.

Olsson, H., Granström, A-H., Tyboni, M. and Nilsson, M. 2015. Photo plot interpretation of a major forest fire in Sweden. EARSeL SIG Forestry meeting Cyprus.

Olsson, H. 2015. Forestry Remote Sensing in Sweden. 35th EARSeL Symposium, Stockholm, June 15-18.

Persson, H.J., Soja M.J., Ulander, L.M.H. and Fransson, J.E.S. 2015. Detection of thinning and clear-cuts using TanDEM-X data. In Proceedings of IGARSS 2015 Symposium, Remote Sensing for a Dynamic Earth, Milan, Italy, 26-31 July, 2015. Oral presentation.

Persson, H.J. and Fransson, J.E.S. 2015. Analysis of tree height growth with TanDEM-X data. In Proceedings of 35th EARSeL 2015 Symposium, Stockholm, Sweden, 15-19 June, 2015. Oral presentation.

Soja, M.J., Persson, H. and 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, Remote Sensing: Understanding the Earth for a Safer World, Milan, Italy, July 26-31, 2015.  

Wallerman, J., Nyström, K., Bohlin, J., Persson, H.J., Soja, M.J. and Fransson, J.E.S. 2015. Estimating forest age and site productivity using time series of 3D remote sensing data. Geoscience and Remote Sensing Symposium (IGARSS), 2015.

Populärvetenskapligt

Lämås, T., Roberge, J-M., Felton, A., Gustafsson, L., Jonzén J., Lundmark, T., Nordin, A., Olsson H., Ranius, T. and Sandström, E. 2015. Generell naturhänsyn och frivilliga avsättningar - Mängden död ved och grova träd ökar i framtidens skogslandskap. Fakta Skog no. 10, SLU.

Persson, H., Soja, M., Olsson, H. och Fransson, J. 2015. Satellitbaserade 3D-data till hjälp för skogliga skattningar. Fakta Skog no. 1, SLU. 

Olsson, H. 2015. Försvann fotogrammetrin från akademin? Nyhetsbrev november 2015, avdelningen för Geodesi och satellitpositionering, KTH.

Reese, H. and Högström, M. 2015. GET: a web-based service for downloading free geodata for Swedish universities. EuroSDR Annual Report 2014.

Examensarbeten

Blombäck, Johanna, 2015. Uppdatering av Södras skogsbruksplaner med hjälp av stereomatchning av flygbilder i kombination med den nya nationella höjdmodellen och Riksskogstaxeringens provytor. Supervisor: Jörgen Wallerman, SLU, Jonas Bohlin, SLU, Heather Reese, SLU and Mats Johansson, Södra Skog. 

Olofsson, Linnéa, 2015. Automatisk metod för att identifiering av stormskador med hjälp av kronhöjdsmodeller. Supervisor: Jonas Bohlin, SLU, Mattias Nyström, SLU, Johan Viklund, SCA Skog.

Singhania, Monica, 2015. Forest estimates derived from airborne laser scanning data in southern Sweden : a comparison of regional and local model calibration. Supervisor: Mats Nilsson, SLU and Jörgen Wallerman, SLU.

Söderberg, Jon, 2015. A method for using harvester data in airborne laser prediction of forest variables in mature coniferous stands. Supervisor: Jörgen Wallerman, SLU, Jonas Bohlin, SLU, Anders Almäng, Sveaskog and Johan J. Möller, Skogforsk.


2014

Doktorsavhandling

Nyström, Mattias (2014). Mapping and monitoring of vegetation using airborne laser scanning. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis agriculturae Sueciae, 1652-6880 ; 2014:9

Persson, Henrik (2014). Estimation of forest parameters using 3D satellite data. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis agriculturae Sueciae, 1652-6880 ; 2014:84 

Vetenskapliga artiklar

Karlson, M., Reese, H. and Ostwald, M. 2014. Tree Crown Mapping in Managed Woodlands (Parklands) of Semi-Arid West Africa Using WorldView-2 Imagery and Geographic Object Based Image Analysis. Sensors, 14(12), 22643-22669.

Lindberg, E., Eysn, L., Hollaus, M., Holmgren,J. and Pfeifer, N. 2014. Delineation of TreeCrowns and Tree Species Classification FromFull-Waveform Airborne Laser Scanning DataUsing 3-D Ellipsoidal Clustering. Ieee JournalOf Selected Topics In Applied Earth ObservationsAnd Remote Sensing, vol. 7, no. 7, pp.3174-3181.

Nyström, M., Holmgren, J., Fransson J.E.S., Olsson, H. 2014. Detection of windthrown trees using airborne laser scanning. International Journal of Applied Earth Observation and Geoinformation, vol. 30, 21-29.

Olofsson, K. & Holmgren, J., 2014. Forest stand delineation from lidar point-clouds using local maxima of the crown height model and region merging of the corresponding Voronoi cells. Remote Sensing Letters, 5:3, 268-276.

Olofsson, K., Holmgren, J. and Olsson H. 2014. Tree Stem and Height Measurements using Terrestrial Laser Scanning and the RANSAC Algorithm. Remote Sens. 6(5), 4323-4344.

Pantze, A., Santoro, M. and Fransson, J.E.S. 2014. Change detection of boreal forest using bi-temporal ALOS PALSAR backscatter data. Remote Sensing of Environment, vol. 155, 120-128. 

Persson, H. and Fransson, J.E.S., 2014. Forest Variable Estimation Using Radargrammetric Processing of TerraSAR-X Images in Boreal Forests. Remote Sens. 6(3), 2084-2107.

Pihel, J., Sang, Å. O., Hägerhäll, C., Nyström, M. and Sandström, E. 2014. Assessments and Eye Movements Compared between Photographs and Visualizations of Logged Forest Vistas–For What Kind of Assessments are Visualisations a Good Representation of Photographs? In Wissen Hayek, U., Fricker, P. & Buhmann, E. (Eds.) (2014): Peer Reviewed Proceedings of Digital Landscape Architecture 2014 at ETH Zurich. © Herbert Wichmann Verlag, VDE VERLAG GMBH, Berlin/Offenbach.

Reese, H., Nyström, M., Nordkvist, K. and Olsson, H. 2014. Combining airborne laser scanning data and optical satellite data for classification of alpine vegetation.  International Journal of Applied Earth Observation and Geoinformation (27): 81–90.

Sandberg, G., Ulander, L.M.H., Wallerman, J. and Fransson, J.E.S. 2014. Measurements of forest biomass change using P-band Synthetic Aperture Radar backscatter. IEEE Transactions on Geoscience and Remote Sensing 52(10), 6047-6061.

Tobella, A.B., Reese, H., Almaw, A., Bayala, J.,Malmer, A., Laudon, H. and Ilstedt, U. 2014.The effect of trees on preferential flow andsoil infiltrability in an agroforestry parkland insemiarid Burkina Faso. Water Resources Research,vol. 50, no. 4, pp. 3342-3354.

Konferensbidrag

Bohlin, J., Wallerman, J. and Fransson, J.E.S.2014. A comparison of forest inventories basedon aerial image matching and Airborne LaserScanning data. Proc. ForestSAT 2014, A BridgeBetween Forest Sciences, Remote Sensing and Geo-Spatial Applications, Riva del Garda, Italy,4-7 November, 2014.

Lindberg, E., Roberge, J.-M., Johansson, T. and Hjältén, J., 2014. Can airborne laser scanning or satellite images, or a combination of the two, be used to predict the abundance and species richness of birds and beetles at a patch scale? In: N. Pfeifer and A. Zlinszky (Editors), International Workshop on Remote Sensing and GIS for Monitoring of Habitat Quality, Vienna, Austria, 2014.

Nyström, M., Wallerman, J., Lindgren, N.,Ehlers, S., Grafström, A., Muszta, A., Nyström,K., Sonesson, J., Fransson, J.E.S., Bohlin, J.,Olsson, H. and Ståhl, S. 2014. Data assimilationfor forest inventory using series of digitalaerial photos. Proc. ForestSAT 2014, A BridgeBetween Forest Sciences, Remote Sensing andGeo-Spatial Applications, Riva del Garda, Italy,4-7 November, 2014.

Santoro, M., Wegmüller, U., Fransson, J.E.S. andSchmullius, C. 2014. Regional mapping of forestgrowing stock volume with multi-temporalALOS PALSAR backscatter. Proc. IGARSS 2014, Energy and our Changing Planet, Québec, Canada, 13-18 July, 2014.

Rapport

Fransson, J.E.S. and Santoro, M. “K&C ScienceReport – Phase 3, Advances in forestry applicationsusing satellite ALOS PALSAR images”,In “The ALOS Kyoto & Carbon Initiative,Science Team Reports, Phase 3 (2011-2014)”,Japan Aerospace Exploration Agency, EarthObservation Research Center, 2-1-1 Sengen,Tsukuba-shi, Ibaraki 305-8505, Japan, JAXAEORC, NDX-140008, pp. 258-270, 2014.

Lindgren, N., Nilsson, B., Allard, A., Akerholm, M., Christensen, P. and Olsson, H. 2014.Metodutveckling för datainsamling i NILSlandskapsruta; Skattningar med laserdata ochoptiska satellitbilder. Arbetsrapport, Sverigeslantbruksuniversitet, Institutionen för skogligresurshushållning, vol. 429.

Olsson, H., Skånes, H., Tulldahl, M., Wikström,S., Kautsky, H., Rydell, B., Årnfelt, E., Eklöf,J. and Steinvall, O. 2014. Flygburen laser ochdigitala bilder för kartering och övervakningav akvatisk och terrester miljö. Report 6633from the Swedish Environmental ProtectionAgency.

Santoro, M., Wegmüller, U., Carvalhais, N.,Thurner, M., Beer, C., Fransson, J.E.S. andSchmullius, C. “K&C Science Report – Phase3, Coupling radar-based estimates of forest informationwith biosphere models for improvedcarbon flux estimation”, In “The ALOS Kyoto& Carbon Initiative, Science Team Reports,Phase 3 (2011-2014)”, Japan Aerospace ExplorationAgency, Earth Observation ResearchCenter, 2-1-1 Sengen, Tsukuba-shi, Ibaraki305-8505, Japan, JAXA EORC, NDX-140008,pp. 281-295, 2014.

Populärvetenskapliga bidrag 

Lindberg, E. and Holmgren, J. 2014. Flygburenlaserskanning för skogliga skattningar. FaktaSkog, no. 4, SLU.

Examensarbeten

Viklund, Johan, 2014. A proposed decision support tool for wood procurement planning based on stereo matching of aerial images. Supervisor: Jörgen Wallerman

Lundholm, Anders, 2014. Evaluating inventory methods for estimating stem diameter distributions in micro stands derived from airborne laser scanning. Supervisor: Johan Holmgren


2013

Vetenskapliga artiklar

Askne, J.I.H., Fransson, J.E.S., Santoro, M., Soja, M.J., and Ulander, L.M.H. 2013. Model-based biomass estimation of a hemi-boreal forest from multitemporal TanDEM-X acquisitions. Remote Sensing: 5(11), 5574-5597.

Barth, A.,  Holmgren, J., 2013. Stem taper estimates based on airborne laser scanning and cut-to-length harvester measurements for pre-harvest planning. International Journal of Forest Engineering: 24(3): 161-169.

Chirici G., Scotti R., Montaghi A., Barbati A., Cartisano R., Lopez G., Marchetti M., McRoberts R. E., Olsson H., Corona P. 2013. Stochastic gradient boosting classification trees for forest fuel types mapping through airborne laser scanning and IRS LISS-III imagery. International Journal Of Applied Earth Observation And Geoinformation, 25, pp.87-97.  

Ehlers, S., Grafström, A., Nyström, K., Olsson, H., and Ståhl, G. 2013. Data assimilation in stand-level forest inventories. Canadian Journal of Forest Research: 43(12): 1104-1113.

Gilichinsky, M., Olsson, H., Solberg, S., 2013. Reflectance changes due to pine sawfly attack detected using multitemporal SPOT satellite data. Remote Sensing Letters. 4:1,10-18.

Holmgren, J. & Lindgren, E. 2013.  Tree crown segmentation based on a geometric tree crown model for prediction of forest variables. Canadian Journal of Remote Sensing 39(S1): 1-13.

Lindberg, E. et al., Estimation of Tree Lists from Airborne Laser Scanning Using Tree Model Clustering and k-MSN Imputation.Remote Sensing: 5(4): 1932-1955.

Montaghi Alessandro 2013. Effect of scanning angle on vegetation metrics derived from a nationwide Airborne Laser Scanning acquisition. Canadian Journal of Forest Remote Sensing, 39, pp.S152-S173.  

Montaghi, A., Corona, P., Dalponte, M., Gianelle, D., Chirici, G., and Olsson, H. 2013. Airborne Laser Scanning of Forest Resources: an overview of research in Italy as a commetary case study. Int J of Applied Earth Observation and Geoinformation.

Nyström, M., Holmgren, J. and Olsson, H. 2013. Change detection of mountain birch using multitemporal ALS point clouds. Remote Sensing Letters. 4:2,190-199.

Persson, H., Wallerman, J., Olsson, H., and Fransson, J. E. S. 2013. Estimating forest biomass and height using optical stereo satellite data and a DEM from laser scanning data. Canadian Journal of Remote Sensing. 39(3): 251-262.

Ringdahl, O., Hohnloser, P., Hellstrom, T., Holmgren, J., Lindroos, O. Enhanced algorithms for estimating tree trunk diameter using 2D laser scanner. Remote Sensing: 5(10): 4839-4856.

Santoro, M., Cartus, O., Fransson, J.E.S., Shvidenko, A., McCallum, I., Hall, R.J., Beaudoin, A., Beer, C., and Schmullius, C. 2013. Estimates of forest growing stock volume for Sweden, Central Siberia and Québec using Envisat Advanced Synthetic Aperture Radar backscatter data. Remote Sensing: 5(9), 4503-4532.

Konferensbidrag

Lindberg E., Hollaus M., Mücke W., FranssonJ.E.S. and Pfeifer N. 2013. Detection of LyingTree Stems from Airborne Laser ScanningData Using a Line Template Matching Algorithm.Proc. of ISPRS Workshop Laser Scanning,Antalya, Turkey, 11-13 November, 2013.

Nyström M., Holmgren J. and Olsson H. 2013.Detecting afforestation on individual tree levelusing ALS. Proc. of SilviLaser 2013, Beijing,China, 9-11 October, 2013.

Persson H. and Fransson J.E.S. 2013. Estimationof forest variables using radargrammetryon TerraSAR-X data in combination with ahigh resolution DEM. Proc. of ESA LivingPlanet Symposium 2013, Edinburgh, UK, 9-13September, 2013.

Santoro M., Schmullius C., Pathe C., SchwilkJ., Beer C., Thurner M., Fransson J.E.S., ShvidenkoA., Schepaschenko D., McCallum I.,Hall R. and Beaudoin A. 2013. Estimates offorest growing stock volume of the northernhemisphere from Envisat ASAR. Proc. of ESALiving Planet Symposium 2013, Edinburgh,UK, 9-13 September, 2013.

Bokkapitel

Ågren J., Eklundh L., Olsson H., Harrie L.and Klang D. 2013. Insamling av geografiskadata. 6 ed. Edited by L. Harrie. In Geografiskinformationsbehandling: teori, metoder ochtillämpningar, pp. 103-137.

Rapport

Nordkvist K., Sandström E., Reese H. andOlsson H. 2013. Laserskanning och digital fotogrammetrii skogsbruket. 2 ed. Arbetsrapport,Sveriges lantbruksuniversitet, Institutionen förskoglig resurshushållning, vol. 407.

Examensarbeten

Jensen, Christian, 2013. Estimate and classify the need of cleaning in young forests using point clouds from photogrammetry and airborne laser scanning. Supervisor: Jonas Bohlin


2012

Doktorsavhandling

Lindberg E. (2012). Estimation of canopy structure and individual trees from laser scanning data. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis agriculturae Sueciae, 1652-6880 ; 2012:33

Vetenskapliga artiklar

Bohlin J., Wallerman J. and Fransson J.E.S. 2012. Forest variable estimation using photogrammetric matching of digital aerial images in combination with a high-resolution DEM. Scandinavian Journal of Forest Research, vol.27, no. 7, pp. 692-699.

Gilichinsky M., Heiskanen J., Barth A., Wallerman J., Egberth M. and Nilsson M. 2012. Histogram matching for the calibration of kNN stem volume estimates. International Journal of Remote Sensing, vol. 33, no. 22, pp.7117-7131.

Holmgren J., Barth A., Larsson H. and Olsson H. 2012. Prediction of stem attributes by combining airborne laser scanning and measurements from harvesters. Silva Fennica, vol. 46 no. 2, pp. 227-239.

Hyyppä, J., Holopainen, M., Olsson, H. 2012. Laser scanning in forests. Remote Sensing, vol. 4, no. 10, pp. 2919-2922. 

Lindberg E., Holmgren J., Olofsson K. and Olsson H. 2012.  Estimation of stem attributes using a combination of terrestrial and airborne laser scanning. European Journal of Forest Research, vol. 131, no. 6, pp. 1917-1931.

Lindberg E. and Hollaus M. 2012. Comparison of methods for estimation of stem volume, stem number and basal area from airborne laser scanning data in a hemi-boreal forest. Remote Sensing, vol. 4, no. 4, pp. 1004-1023.

Lindberg E.., Olofsson K., Holmgren J. and Olsson H. 2012. Estimation of 3D vegetation structure from waveform and discrete return airborne laser scanning data. Remote Sensing of Environment, vol. 118, no. 1, pp. 151-161.

Neumann M., Saatchi S.S., Ulander L.M.H. and Fransson J.E.S. 2012. Assessing performance of L- and P-band polarimetric interferometric SAR data in estimating boreal forest aboveground biomass. IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 3, pp. 714-726.

Nordkvist K., Granholm A-H., Holmgren J., Olsson H. and Nilsson M. 2012. Combining optical satellite data and airborne laser scanner data for vegetation classification. Remote Sensing Letters, vol. 3, no. 5, pp. 391-401.

Nyström M., Holmgren J. and Olsson H. 2012. Prediction of tree biomass in the forest–tundra ecotone using airborne laser scanning. Remote Sensing of Environment, vol. 123, no. 1, pp. 271-279.

Santoro M., Pantze A., Fransson J.E.S., Dahlgren J. and Persson A. 2012. Nation-wide clear-cut mapping in Sweden using ALOS PALSAR strip images. Remote Sensing, vol. 4, no. 6, pp. 1693-1715.

Vauhkonen J., Ene L., Gupta S., Heinzel J., Holmgren J., Pitkänen J., Solberg S., Wang Y., Weinacker H., Hauglin K.M., Lien V., Packalén P., Gobakken T., Koch B., Næsset E., Tokola T.and Maltamo M. 2011. Comparative testing of single-tree detection algorithms under different types of forest. Forestry, vol. 85, no. 1, pp. 27-40.

Konferensbidrag

Bohlin J., Wallerman J., Fransson J.E.S. and Olsson H. 2012. Species-specific forest variable estimation using non-parametric modeling of multi-spectral photogrammetric point cloud data. In Proc. The XXII Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS), Melbourne, Australia, 25 August-1 September, 2012.

Eriksson L.E.B., Fransson J.E.S., Soja M.J. and Santoro M. 2012. Backscatter signatures of wind-thrown forest in satellite SAR images. In Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2012, Munich, Germany, 22-27 July, 2012.

Montaghi A., Egberth M., Wallerman J., Nilsson M. and Olsson H. 2012. Analysis of effects of scanning angle on ALS-derived vegetation metrics in a nationwide airborne ALS acquisition. In Proc. SilviLaser 2012, Vancover, Canada, 16-19 September.

Newnham G., Mashford J., Püschel P., Armston J., Culvenor D., Siggins A., Nyström M., Goodwin N. and Muir J. Non-parametric point classification for phase-shift laser scanning. In proc. SilviLaser 2012, Van Couver, Canada, 16-19 September, 2012.

Persson H., Soja M.J., Santoro M., Fransson J.E.S. and Ulander L.M.H. 2012. Estimation of forest variables using TanDEM-X data in combination with a high resolution DEM. In Proc. ForestSAT 2012, Corvallis, Oregon, USA, 11-14 September, 2012.

Persson H., Wallerman J., Olsson H. and Fransson J.E.S. 2012. Estimating biomass and height using DSM from satellite data and DEM from high-resolution laser scanning data. In Proc. 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, 22-27 July, 2012.

Sandberg G., Ulander L.M.H., Fransson J.E.S. and Soja M.J. 2012. Measurements of forest change using P-band SAR backscatter. In Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, 22-27 July, 2012.

 Santoro M., Pathe C., Schwilk J., Schmullius C., Shvidenko A., Schepaschenko D., Mc- Callum I., Fransson J.E.S., Beaudoin A., Hall R.J. and Cartus O. 2012. Quantifying forest growing stock volume in the boreal zone using spaceborne Envisat ASAR observations. In Proc. ForestSAT 2012, Corvallis, Oregon, USA, 11-14 September, 2012

Wallerman J., Bohlin J. and Fransson J.E.S. 2012. Forest height estimation using semiindividual tree detection in multi-spectral 3D aerial DMC data. In Proc. International Geoscience and Remote Sensing Symposium (IGARSS) 2012, Munich, Germany, 22-27 July, 2012.

Rapport

Newnham G., Armston J., Muir J., Goodwin N., Tindall D., Culvenor D., Püschel P., Nyström M. and Johansen K. 2012. Evaluation of terrestrial laser scanners for measuring vegetation structure. CSIRO Sustainable Agriculture Flagship, pp 1-32.

Examensarbeten

Jonsson, Elin, 2012. Metod för kartläggning av lövråvara i Södra Skogs verksamhetsområde. Supervisor: Mats Nilsson

Lindgren, Nils, 2012. Klassning av fjällbjörkskog enligt FAO:s definition av skogsmark med hjälp av flygburen laserskanning. Supervisor: Karin Nordkvist

Martin, Jennifer, 2012. Mapping wetland areas on forested landsacpes using Radarasat-2 and Landsat-5 TM data. Supervisor: Heather Reese and Brigitte Leblon and Kara Webster

Puliti, Stefano , 2012. Analyses of the feasibility of participatory REDD+ MRV approaches to Lidar assisted carbon inventories in Nepal. Supervisor: Johan Holmgren

 


2011

Doktorsavhandling

Reese H. 2011.Classification of Sweden's forest and alpine vegetation using optical satellite and inventory data Acta Universitatis agriculturae Sueciae nr 2011:86

Vetenskapliga artiklar

Gilichinsky M., Sandström P., Reese H., Kivinen S., Moen J., Nilsson M. 2011.Mapping ground lichens using forest inventory and optical satellite data International Journal of Remote Sensing vol. 32 nr 2 455-472

Hedenås H., Olsson H., Jonasson C., Bergstedt J., Dahlberg U. and Callaghan T.V. 2011. Changes in tree growth, biomass and vegetation over a 13-year period in the Swedish sub-arctic. Ambio, vol. 40, no. 6, pp. 672-682.

Reese H., Olsson H. 2011.C-correction of optical satellite data over alpine vegetation areas: A comparison of sampling stratgies for determining the empirical c-parameter Remote Sensing of Environment vol. 115 nr 6 1387-1400

Sandberg G., Ulander L.M.H., Fransson J.E.S., Holmgren J. and Le Toan T. 2011. L- and Pband backscatter intensity for biomass retrieval in hemiboreal forest. Remote Sensing of Environment, vol. 115, no. 11, pp. 2874-2886.

Bokkapitel 

Bendz M. and Lindberg E. 2011. Skoglig utbildning och forskning. Edited by L. Wastenson, U. Jansson and P. Aspenberg. In Jordbruk och skogsbruk i Sverige sedan år 1900, Sveriges Nationalatlas, p. 232.

Populärvetenskapliga bidrag 

Bohlin J. 2011.Rapport från årets utbildningskonferens Kart och Bildteknik vol. 2011:3 18

Nyström M., Holmgren J., Olsson H. 2011.Kan laserskanning användas för att övervaka trädgränsen? Ny nationell höjdmodell - Användarerfarenhet (www.lantmateriet.se) 1-3

Nyström M. 2011.SilviLaser Kart & Bildteknik vol. 4 10-12

Olsson H., Eklöf J., Lindberg E., Nordkvist K., Nyström M., Holmgren J., Nilsson M., Skånes H. 2011.Flygburen laserskanning för Naturvården Kart och Bildteknik vol. 2011 nr 1 6-9

Olsson H., Fransson J., Nilsson B., Nilsson M., Holmgren J. 2011.Från flygbilder till laserteknik för skoglig inventering – En drygt femtioårig historia med stark förankring i Norrland THULE, Kungliga Skytteanska Samfundets Årsbok 2011 vol. 24 pp. 63-74.

Olsson H. 2011.Stort pris till laserskanning för skogsbruket Kart och Bildteknik vol. 2011 nr 3 20-21

Reese H., Olsson H. 2011.Fjällen på kartan Miljötrender vol. Nr. 3 5-5

Reese H. 2011.Vegetation ses i detalj från rymden Notiser från SLU - rön från Sveriges lantbruksuniversitet vol. Nr 6 2-2

Konferensbidrag  

Barth A. and Holmgren J. 2011. Airborne laser scanning and harvester measurements for pre-harvest planning. In Proc. 4th Forest Engineering Conference, Innovation in Forest Engineering - Adapting to Structural Change, White River, South Africa, 5-7 April, 2011.

Neumann M., Saatchi S.S., Ulander L.M.H. and Fransson J.E.S. 2011. Parametric and nonparametric forest biomass estimation from PolInSAR data. In Proc. IGARSS 2011 Symposium, Beyond the Frontiers: Expanding our Knowledge of the World, Vancouver, Canada 24-29 July, 2011.

Nordkvist K., Nyström M., Reese H., Holmgren J., Olsson H. 2011.Vegetation classification in the Swedish sub-arctic using a combination of optical satellite images and airborne laser scanner data

Nordkvist K., Granholm A-H., Holmgren J., Olsson H., Nilsson M. 2011.Vegetation classification using a combination of SPOT images and airborne laser scanner data

Nyström M., Holmgren J., Olsson H. 2011.Change detection of mountain vegetation using multi-temporal ALS point clouds

Nyström M., Holmgren J., Olsson H. 2011.Laserskanning som övervakningsmetod för naturvården

Ulander L.M.H., Gustavsson A., Dubois-Fernandez P., Dupuis X., Fransson J.E.S., Holmgren J., Wallerman J., Eriksson L., Sandberg G. and Soja M. 2011. BioSAR 2010 – a SAR campaign in support to the BIOMASS mission. In Proc. IGARSS 2011 Symposium, Beyond the Frontiers: Expanding our Knowledge of the World, Vancouver, Canada, 24-29 July, 2011.

Rapport 

Fransson J., Santoro M., Pantze A., Olsson H., Eriksson L.E.B., Ulander L.M.H., Persson A. 2011.K&C Science Report – Phase 2, National clear-cut mapping in Sweden with ALOS PALSAR

Ulander L.M.H., Gustavsson A., Flood B., Murdin D., Dubois-Fernandez P., Dupuis X., Sandberg G., Soja M.J., Eriksson L.E.B., Fransson J.E.S., Holmgren J. and Wallerman J. 2011. BioSAR 2010 - technical assistance for the development of airborne SAR and geophysical measurements during the BioSAR 2010 experiment: Final report.

Examensarbeten 

Jonzen , Jonas, 2011. Visualisering – ett verktyg för att illustrera långsiktiga konsekvenser av slutavverkning och naturhänsyn. Supervisor: Emma Sandström


2010

Vetenskapliga artiklar

Gilichinsky M., Melnikov D., Melekestsev I., Zaretskaya N., Inbar M. 2010.Morphometric measurements of cinder cones from digital elevation models of Tolbachik volcanic field, central Kamchatka Canadian Journal of Remote Sensing vol. 36 nr 4 287-300

Lindberg E., Holmgren J., Olofsson K., Wallerman J., Olsson H. 2010.Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods International Journal of Remote Sensing vol. 31 nr 5 1175–1192

Magnusson M., Fransson J. 2010.Airborne low-frequency synthetic aperture radar and optical satellite data as complementary data sources for forest stem volume estimation Scandinavian Journal of Forest Research vol. 25 pp. 89-99.

Santoro M., Fransson J., Eriksson L.E.B., Ulander L.M.H. 2010.Clear-cut detection in Swedish boreal forest using multi-temporal ALOS PALSAR backscatter data IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing vol. 3 nr 4 pp. 618-631.

Fransson J., Santoro M. 2010.National clear-cut mapping in Sweden Global Environmental Monitoring by ALOS PALSAR, Science Results from the ALOS Kyoto & Carbon Initiative pp. 44-45.

Nordkvist K., Olsson H. 2010.Computer classification of Genral Habitat Categories by combining LiDAR and SPOT data. Ebone news letter 1

Konferensbidrag 

Bohlin J., Wallerman J., Fransson J. 2010.Estimating forest stand variables using 3D data from the Z/I DMC system 4 pages.

Fransson J., Pantze A., Eriksson L.E.B., Soja M.J., Santoro M. 2010.Mapping of wind-thrown forests using satellite SAR images pp. 1242-1245.

Holmgren J., Barth A., Larsson H., Olsson H. 2010.Prediction of stem attributes by combining airborne laser scanning and measurements from harvesting machinery.

Lindberg E., Holmgren J., Olofsson K., Olsson H. 2010.Estimation of stem attributes using a combination of terrestrial and airborne laser scanning

Nilesen A.A., Olsson H. 2010.Change detection by the IR-MAD and Kernel MAF methods in Landsat TM data. 167-168

Nilsson M., Allard A., Holm S. and Olsson H. 2010. Integration of earth observation data and in situ data from the National Inventory of Landscapes in Sweden. In Proc. IALE Conference, Västerås, Sweden, 3-6 September, 2010.

Nordkvist K., Granholm A., Nilsson M. and Holmgren J. 2010. Combining optical satellite data and airborne laser scanner data for vegetation classification. In Proc. SilviLaser 2010, Freiburg, Germany, 14-17 September, 2010.

Nyström M., Holmgren J., Olsson H. 2010.The potential of airborne laser scanning for monitoring the subalpine birch forest ecotone

Olsson H., Persson A., Björk L., Rosengren M. 2010.Extended Abstract publicerat i Miranda, Suarez, Cresente (Ed.) Operational tools in forestry using remote sensing techniques – Proceedings från ForestSat 2010 134-136

Pantze A., Fransson J., Santoro M. 2010.Forest change detection from L-band satellite SAR images using iterative histogram matching and thresholding together with data fusion pp. 1226-1229.

Pantze A., Krantz A., Fransson J.E.S., Olsson H., Santoro M., Eriksson L.E.B.and Ulander L.M.H. 2010. Mapping and monitoring clear-cuts in Swedish forests using ALOS PALSAR satellite images. In Proc. IGARSS 2010 Symposium, Remote Sensing: Global Vision for Local Action, 30th Anniversary, Honolulu, Hawaii, USA, 25-30 July, 2010.

Parsons M, et al. 2010. The state of polar data. In Proc. International Polar Year Oslo Science Conference, Oslo, Norway, 8-12 June, 2010.

Peled A. and Gilichinsky M. 2010. Knowledge-based classification of land cover for the quality assessment of GIS database. In Proc. Core Spatial Databases - Updating, Maintenance and Services – From Theory to Practice, Haifa, Israel, 14-17 March, 2010.

Wallerman J., Fransson J., Bohlin J., Reese H., Olsson H. 2010.Forest mapping using 3D data from SPOT-5 HRS and Z/I DMC pp. 64-67.

Rapport

Fransson J., Olsson H., Eriksson L.E.B., Ulander L.M.H., Santoro M. 2010.K&C Science Report – Phase 1, Detection of deforestation in Swedish forest

Nordkvist K., Granholm A-H., Holmgren J., Nilsson M., Olsson H. 2010.Classification of EBONE General Habitat Categories in a Swedish forest area by using LiDAR in combination with SPOT satellite data Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning och geomatik

Examensarbeten 

Blomberg, Robert, 2010. Tillämpning av kNN-Sverige i Södra Skogs verksamhet : behovsinventering, databearbetning och förberedelse för praktisk implementering. Supervisor: Jörgen Wallerman

Djurberg, J, 2010. Stamräkning och identifiering av åtgärdsbehov i röjnings- och gallringbestånd med hjälp av låghöjdsbilder. Supervisor: Mats Nilsson

Hlaing, Myint, 2010. Evaluation of digital surface model data to improve forest biomass estimation from SPOT HRG . Supervisor: Jörgen Wallerman

Sjödin, Martin, 2010. Skattningar i gallringsskog med hjälp av flygburen laserskanning : beräkningar med massaslutenhet . Supervisor: Johan Holmgren


2009

Vetenskapliga artiklar

Barth A., Wallerman J. and Ståhl G. 2009. Spatially consistent nearest neighbor imputation of forest stand data. Remote Sensing of Environment, vol. 113, issue 3, pp. 546-553.

Nilsson M., Holm S., Wallerman J., Reese H. and Olsson H. 2009. Estimating annual cuttings using multi-temporal satellite data and field data from the Swedish NFI. International Journal of Remote Sensing, vol. 30, issue 19, pp. 5109-5116.

Reese H., Nilsson M. and Olsson H. 2009. Comparison of Resourcesat-1 AWiFS and SPOT-5 data over managed boreal forests. International Journal of Remote Sensing, vol. 30, issue 19, pp. 4957-4978.

Santoro M., Fransson J.E.S., Eriksson L.E.B., Magnusson M., Ulander L.M.H. and Olsson H. 2009. Signatures of ALOS PALSAR L-band backscatter in Swedish forest. IEEE Transactions on Geoscience and Remote Sensing, vol. 47, issue 12, pp. 4001-4019.

Bokkapitel

Engström L., Lindén B., Börjesson T., Söderström M., Nissen K., Gruvaeus I., Hagner O. and Lorén N. 2009. Determination of canopy properties of winter oilseed rape using remote sensing techniques in field experiments. In Precision Agriculture 2009. Edited by van Henten E.J., Goense D. and Lokhorst C.,Wageningen Academic Publishers, pp. 113-118.

Rydberg A., Hagner O., Aronsson P. and Söderström M. 2009. Mapping spatial variation in growing willow using small UAS. In Precision Agriculture 2009. Edited by van Henten E.J., Goense D. and Söderström M, Wageningen Academic Publishers, pp. 485-492

Söderström M., Börjesson T., Pettersson CG., Nissen K. and Hagner O. 2009. Within-field and regional prediction of malting barley protein content using canopy reflectance. In Precision Agriculture 2009. Edited by van Henten E.J., Goense D. and Lokhorst C., Wageningen Academic Publishers, pp. 119-126.

Konferensbidrag

Pantze A., Krantz A.H., Fransson J.E.S., Olsson H., Santoro M., Eriksson L.E.B. and Ulander L.M.H. 2009. Mapping and monitoring clear-cuts in Swedish forest using ALOS PALSAR satellite images. In Proc. IGARSS 2009 Symposium, Earth Observation – Origins to Applications, Cape Town, South Africa, 13-17 July, 2009, pp. 589-592.

Sandberg G., Ulander L.M.H., Fransson J.E.S., Holmgren J. and Le Toan T. 2009. Comparison of L- and P-band biomass retrievals based on backscatter from the BioSAR campaign. In Proc. IGARSS 2009 Symposium, Earth Observation - Origins to Applications, Cape Town, South Africa, 13-17 July, 2009, pp. 169-172.

Sandström P. and Sandström C. 2009. Natural resource management - A case study of reindeer husbandry and forestry in Northern Sweden. In Proc. International Symposium, Change in governance as collective learning process, IUFRO, IDDRI, Nancy, France, 21-24 June, 2009.

Sandström P., Baer K., Jougda L. and Lidestav G. 2009. Participatory GIS - new techniques, new possibilities and new roles in reindeer husbandry in Sweden. In Proc. XIII World Forestry Congress, Buenos Aires, Argentina, 18-23 October, 2009.

Sandström P., Baer K. and Jougda L. 2009. Participatory GIS - new techniques, new possibilities and new roles in reindeer husbandry in Sweden. In Proc. 2nd Gender and Forestry Conference, IUFRO, Umeå, Sweden, 15-18 June, 2009.

Sandström P., Sandström C. and Jougda L. 2009. Reindeer husbandry and forestry - conflict mitigation in northern Sweden. In Proc. XIII World Forestry Congress, Buenos Aires, Argentina, 18-23 October, 2009.

Santoro M., Fransson J.E.S., Eriksson L.E.B., Magnusson M., Ulander L.M.H., Olsson H. and Krantz A. 2009. Investigations on forestry applications in Sweden using ALOS PALSAR. In Proc. ALOS PI 2008 Symposium, Rhodes, Greece, 3-7 November, 2009.

Wallerman J., Bohlin J., Fransson J.E.S. and Lundberg K. 2009. Forest data capture using optical 3D digital surface models from the C3 Technologies system. In Proc. ASPRS/MAPPS 2009 Specialty Conference, Digital Mapping - from elevation to information, San Antonio, Texas, USA, 16 – 19 November, 2009. Report

Fransson J.E.S., Olsson H., Eriksson L.E.B., Ul22 ander L.M.H. and Santoro M. 2009. K&C Science Report - Phase 1, Detection of deforestation in Swedish forest. In JAXA, 2009.

Populärvetenskapliga bidrag

Baer K., Jougda L. and Sandström P. 2009. Bridges Across Traditional and Scientific Sectors Leads to Reduced Conflict in Sweden. In Connections International Model Forest Network News, 2009, vol. 1, no 2, p. 3.

Fransson J.E.S. and Hansson S. 2008. Annual Report 2008. Department of forest resource management, SLU, 2009, 24 pages.

Sandström P., Karin B. and Leif J. 2009. Bättre samråd med renbruksplaner. In Miljötrender från SLU, no. 4, 2009, p. 11.

Sandström P. , Jougda L. and Baer K. 2009. Reindeer Herding in Northern Sweden: A Fundamental None Timber Forest Product. In Connections: International Model Forest Network News, 2009, vol. 1, no. 1, p. 8. 

Examensarbeten

Krantz, Anders, 2009. Mapping of clear-cuts in Swedish forest using satellite images acquired by the radar sensor ALOS PALSAR. Supervisor: Johan Fransson

Larsson, Henrik 2009. Flygburen laserskanning kopplat till skördarmätning för datainsamling till operativ planering. Supervisor: Johan Holmgren

Mukesh, Kumar, 2009. Geospatial monitoring and evaluation of UNESCO world heritage forest areas in the Tropics . Supervisor: Mikael Egberth

Wiklund, Olle, 2009. Gallringsinventering från helikopter utrustad med profilerande laser och kamera för låghöjdsfotografering. Supervisor: Mats Nilsson