Open access publications in the SLU publication database

A

Adnan, Syed and Valbuena, Ruben and Kauranne, Tuomo and Gopalakrishnan, Ranjith and Maltamo, Matti (2022). Optimizing the airborne laser scanning estimation of basal area larger than mean (BALM): An indicator of cohort balance in forests. Ecological Indicators. 142 , 109162
[Research article]

Appiah Mensah, Alex and Sarfo, Daniel Akoto and Partey, Samuel Tetteh (2019). Assessment of vegetation dynamics using remote sensing and GIS: A case of Bosomtwe Range Forest Reserve, Ghana. The Egyptian journal of remote sensing and space sciences. 22 , 145-154
[Research article]

Askne, J.I.H. and Fransson, Johan and Santoro, M. and 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
[Research article]

Axelsson, Arvid and Lindberg, Eva and Olsson, Håkan (2018). Exploring Multispectral ALS Data for Tree Species Classification. Remote Sensing. 10 , 183
[Research article]

Axelsson, Arvid and Lindberg, Eva and Reese, Heather and Olsson, Håkan (2021). Tree species classification using Sentinel-2 imagery and Bayesian inference. International Journal of Applied Earth Observation and Geoinformation. 100 , 102318
[Research article]

B

Bartsch, Annett and Widhalm, Barbara and Leibman, Marina and Emorkhina, Ksenia and Kumpula, Timo and Skarin, Anna and Wilcox, Evan J. and Jones, Benjamin M. and Frost, Gerald V. and Höfler, Angelika and Pointner, Georg (2020). Feasibility of tundra vegetation height retrieval from Sentinel-1 and Sentinel-2 data. Remote Sensing of Environment. 237 , 1-19
[Research article]

Bohlin, Jonas and Wallerman, Jörgen and Fransson, Johan (2021). Extraction of Spectral Information from Airborne 3D Data for Assessment of Tree Species Proportions. Remote Sensing. 13 , 720
[Research article]

Bohlin, Jonas and Wallerman, Jörgen and Fransson, Johan E.S. and Olsson, Håkan (2012). Species-specific forest variable estimation using non-parametric modeling of multi-spectral photogrammetric point cloud data. I/In: The XXII Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS), 25 Aug - 1 Sept 2012, Melbourne, Australia.
[Conference Paper]

Breidenbach, Johannes and Ellison, David and Petersson, Hans and Korhonen, Kari T. and Henttonen, Helena M. and Wallerman, Jörgen and Fridman, Jonas and Gobakken, Terje and Astrup, Rasmus and Næsset, Erik (2022). Harvested area did not increase abruptly—how advancements in satellite-based mapping led to erroneous conclusions. Annals of Forest Science. 79 , 2
[Research article]

Burdun, Iuliia and Bechtold, Michel and Sagris, Valentina and Lohila, Annalea and Humphreys, Elyn and Desai, Ankur R. and Nilsson, Mats and De Lannoy, Gabrielle and Mander, Ulo (2020). Satellite Determination of Peatland Water Table Temporal Dynamics by Localizing Representative Pixels of A SWIR-Based Moisture Index. Remote Sensing. 12 , 2936
[Research article]

C

Cai, Zhanzhang and Junttila, Sofia and Holst, Jutta and Jin, Hongxiao and Ardo, Jonas and Ibrom, Andreas and Peichl, Matthias and Molder, Meelis and Jonsson, Per and Rinne, Janne and Karamihalaki, Maria and Eklundh, Lars (2021). Modelling Daily Gross Primary Productivity with Sentinel-2 Data in the Nordic Region-Comparison with Data from MODIS. Remote Sensing. 13 , 469
[Research article]

D

Dubayah, Ralph and Armston, John and Healey, Sean P. and Bruening, Jamis M. and Patterson, Paul L. and Kellner, James R. and Duncanson, Laura and Saarela, Svetlana and Ståhl, Göran and Yang, Zhiqiang and Tang, Hao and Blair, J. Bryan and Fatoyinbo, Lola and Goetz, Scott and Hancock, Steven and Hansen, Matthew and Hofton, Michelle and Hurtt, George and Luthcke, Scott (2022). GEDI launches a new era of biomass inference from space. Environmental Research Letters. 17 :9 , 095001
[Research article]

Duncanson, Laura and Kellner, James R. and Armston, John and Dubayah, Ralph and Minor, David M. and Hancock, Steven and Healey, Sean P. and Patterson, Paul L. and Saarela, Svetlana and Marselis, Suzanne and Silva, Carlos E. and Bruening, Jamis and Goetz, Scott J. and Tang, Hao and Hofton, Michelle and Blair, Bryan and Luthcke, Scott and Fatoyinbo, Lola and Abernethy, Katharine and Alonso, Alfonso and Andersen, Hans-Erik and Aplin, Paul and Baker, Timothy R. and Barbier, Nicolas and Bastin, Jean Francois and Biber, Peter and Boeckx, Pascal and Bogaert, Jan and Boschetti, Luigi and Boucher, Peter Brehm and Boyd, Doreen S. and Burslem, David F. R. P. and Calvo-Rodriguez, Sofia and Chave, Jerome and Chazdon, Robin L. and Clark, David B. and Clark, Deborah A. and Cohen, Warren B. and Coomes, David A. and Corona, Piermaria and Cushman, K. C. and Cutler, Mark E. J. and Dalling, James W. and Dalponte, Michele and Dash, Jonathan and de-Miguel, Sergio and Deng, Songqiu and Ellis, Peter Woods and Erasmus, Barend and Fekety, Patrick A. and Fernandez-Landa, Alfredo and Ferraz, Antonio and Fischer, Rico and Fisher, Adrian G. and Garcia-Abril, Antonio and Gobakken, Terje and Hacker, Jorg M. and Heurich, Marco and Hill, Ross A. and Hopkinson, Chris and Huang, Huabing and Hubbell, Stephen P. and Hudak, Andrew T. and Huth, Andreas and Imbach, Benedikt and Jeffery, Kathryn J. and Katoh, Masato and Kearsley, Elizabeth and Kenfack, David and Kljun, Natascha and Knapp, Nikolai and Kral, Kamil and Krucek, Martin and Labriere, Nicolas and Lewis, Simon L. and Longo, Marcos and Lucas, Richard M. and Main, Russell and Manzanera, Jose A. and Martinez, Rodolfo Vasquez and Mathieu, Renaud and Memiaghe, Herve and Meyer, Victoria and Mendoza, Abel Monteagudo and Monerris, Alessandra and Montesano, Paul and Morsdorf, Felix and Naesset, Erik and Naidoo, Laven and Nilus, Reuben and O'Brien, Michael and Orwig, David A. and Papathanassiou, Konstantinos and Parker, Geoffrey and Philipson, Christopher and Phillips, Oliver L. and Pisek, Jan and Poulsen, John R. and Pretzsch, Hans and Rudiger, Christoph and Saatchi, Sassan and Sanchez-Azofeifa, Arturo and Sanchez-Lopez, Nuria and Scholes, Robert and Silva, Carlos A. and Simard, Marc and Skidmore, Andrew and Sterenczak, Krzysztof and Tanase, Mihai and Torresan, Chiara and Valbuena, Ruben and Verbeeck, Hans and Vrska, Tomas and Wessels, Konrad and White, Joanne C. and White, Lee J. T. and Zahabu, Eliakimu and Zgraggen, Carlo (2022). Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment. 270 , 112845
[Research article]

de Paula Pires, Raul and Holmgren, Johan and Persson, Henrik and Lindberg, Eva and Olofsson, Kenneth (2021). Influence of distance to the road on stem detection with car-mounted mobile laser scanner. I/In: SilviLaser Conference 2021, 210928-210930, Vienna, Austria.
[Conference Paper]

de Paula Pires, Raul and Olofsson, Kenneth and Persson, Henrik and Lindberg, Eva and Holmgren, Johan (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 , 211-224
[Research article]

E

Ehlers, Sarah and Saarela, Svetlana and Lindgren, Nils and Lindberg, Eva and Nyström, Mattias and Persson, Henrik and Olsson, Håkan and Ståhl, Göran (2018). Assessing Error Correlations in Remote Sensing-Based Estimates of Forest Attributes for Improved Composite Estimation. Remote Sensing. 10 , 667
[Research article]

Ekström, Magnus and Nilsson, Mats (2021). A Comparison of Model-Assisted Estimators, With and Without Data-Driven Transformations of Auxiliary Variables, With Application to Forest Inventory. Frontiers in forests and global change. 4 , 764495
[Research article]

Eysn, Lothar and Hollaus, Markus and Lindberg, Eva and Berger, Frédéric and Monnet, Jean-Matthieu and Dalponte, Michele and Kobal, Milan and Pellegrini, Marco and Lingua, Emanuele and Mongus, Domen and Pfeifer, Norbert (2015). A benchmark of lidar-based single tree detection methods using heterogeneous forest data from the alpine space. Forests. 6 :5 , 1721-1747
[Research article]

F

Flyckt, Jonatan and Andersson, Filip and Lavesson, Niklas and Nilsson, Liselott and Ågren, Anneli (2022). Detecting ditches using supervised learning on high-resolution digital elevation models. Expert Systems with Applications. 201 , 116961
[Research article]

Forsman, Mona (2018). Tree stem diameter estimation from terrestrial point clouds. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2018:54
ISBN 978-91-7760-248-4
eISBN 978-91-7760-249-1
[Doctoral thesis]

Forsman, Mona and Börlin, Niclas and Holmgren, Johan (2016). Estimation of tree Stem attributes using terrestrial photogrammetry with a camera rig. Forests. 7 :3 , 1-20
[Research article]

Forsman, Mona and Holmgren, Johan and Olofsson, Kenneth (2016). Tree stem diameter estimation from mobile laser scanning using line-wise intensity-based clustering. Forests. 7 :9 , 1-22
[Research article] (Unpublished)

Fransson, Johan E.S. and Santoro, Maurizio and Wallerman, Jörgen and Persson, Henrik and Monteith, Albert R. and Eriksson, Leif E B and Nilsson, Mats and Olsson, Håkan and Soja, Maciej J. and Ulander, Lars M.H. (2016). Estimation of forest stem volume using ALOS-2 PALSAR-2 satellite images. I/In: IGARSS 2016 Symposium, Advancing the understanding of our living planet, 10-15 July, Beijing, China.
[Conference Paper]

G

Gallagher, Michael R. and Maxwell, Aaron E. and Guillén, Luis Andrés and Everland, Alexis and Loudermilk, E. Louise and Skowronski, Nicholas S. (2021). Estimation of Plot-Level Burn Severity Using Terrestrial Laser Scanning. Remote Sensing. 13 :20 , 4168
[Research article]

Granholm, Ann-Helen (2016). Segmentation of forest patches and estimation of canopy cover using 3D information from stereo photogrammetry. Umeå : Sveriges lantbruksuniv.
ISBN 978-91-576-9399-0
eISBN 978-91-576-9400-3
[Licentiate thesis]

H

Hagemann, Niklas and Magdon, Paul and Schnell, Sebastian and Pommerening, Arne (2022). Analysing gap dynamics in forest canopies with landscape metrics based on multi-temporal airborne laser scanning surveys - A pilot study. Ecological Indicators. 145 , 109627
[Research article]

Hall, Ola and Dahlin, Sigrun and Marstorp, Håkan and Archila Bustos, Maria Francisca and Öborn, Ingrid and Jirström, Magnus (2018). Object-Oriented Classification of Maize from UAV Imagery in African mixed smallholder farming systems. Drones. 2 , 1-8
[Research article]

Heiskanen, Janne and Nilsson, Björn and Mäki, Ann-Helen and Allard, Anna and Moen, Jon and Holm, Sören and Sundquist, Sture and Olsson, Håkan (2008). Aerial photo interpretation for change detection of treeline ecotones in the Swedish mountains. Umeå: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning och geomatik ; 242
[Report]

Hoffmann, Stephan and Schoenauer, Marian and Heppelmann, Joachim and Asikainen, Antti and Eberhard, Benno and Hasenauer, Hubert and Ivanovs, Janis and Jaeger, Dirk and Lazdins, Andis and Mohtashami, Sima and Moskalik, Tadeusz and Nordfjell, Tomas and Sterenczak, Krzysztof and Talbot, Bruce and Uusitalo, Jori and Astrup, Rasmus and Vuillermoz, Morgan and Cacot, Emmanuel (2022). Trafficability Prediction Using Depth-to-Water Maps: the Status of Application in Northern and Central European Forestry. Current Forestry Reports. 8 :1 , 55-71
[Research article]

Holmgren, Johan and Lindberg, Eva (2019). Tree crown segmentation based on a tree crown density model derived from Airborne Laser Scanning. Remote Sensing Letters. 10 , 1143-1152
[Research article]

Holmgren, Johan and Lindberg, Eva and Olofsson, Kenneth and Persson, Henrik (2022). Tree crown segmentation in three dimensions using density models derived from airborne laser scanning. International Journal of Remote Sensing. 43 , 299-329
[Research article]

Holmström, Hampus and Korosuo, Anu (2011). Framtidsanalyser av Vindelns lövvärdetrakt. I/In: Skötselförslag för Vindelns lövvärdetrakt : ett naturvårdsprojekt enligt landskapsstrategimodellen. Sid./p. 21. Umeå: Länsstyrelsen Västerbotten
[Book Chapter]

Hovi, Aarne and Lindberg, Eva and Lang, Mait and Arumae, Tauri and Peuhkurinen, Jussi and Sirparanta, Sanna and Pyankov, Sergey and Rautiainen, Miina (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
[Research article]

Huo, Langning and Lindberg, Eva (2020). Individual tree detection using template matching of multiple rasters derived from multispectral airborne laser scanning data. International Journal of Remote Sensing. 41 , 9525-9544
[Research article]

Huo, Langning and Lindberg, Eva and Bohlin, Jonas and Persson, Henrik (2023). Assessing the detectability of European spruce bark beetle green attack in multispectral drone images with high spatial- and temporal resolutions. Remote Sensing of Environment. 287 , 113484
[Research article]

Huo, Langning and Lindberg, Eva and Holmgren, Johan (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 , 112857
[Research article]

Husson, Eva (2016). Images from unmanned aircraft systems for surveying aquatic and riparian vegetation. Diss. (sammanfattning/summary) Uppsala : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2016:115
ISBN 978-91-576-8733-3
eISBN 978-91-576-8734-0
[Doctoral thesis]

Huuva, Ivan and Persson, Henrik and Soja, Maciej J. and Wallerman, Jörgen and Ulander, Lars M. H. and Fransson, Johan (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 , 661-680
[Research article]

J

Jonsson, Ylva and Bohlin, Inka and Bohlin, Jonas and Fransson, Johan and Huo, Langning and Nilsson, Mats and Persson, Henrik and Wallerman, Jörgen (2022). Potential of mapping forest damage from remotely sensed data. (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning ; 539
[Report]

Jonzén, Niclas and Nilsson, Mats and Olsson, Håkan and Larsson, Svante and Nilsson, Liselott and Persson, Anders (2016). Skogliga grunddata. Uppsala: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Fakta. Skog ; 2016:8
[Factsheet]

Junttila, Sofia and Kelly, Julia and Kljun, Natascha and Aurela, Mika and Klemedtsson, Leif and Lohila, Annalea and Nilsson, Mats and Rinne, Janne and Tuittila, Eeva-Stiina and Vestin, Patrik and Weslien, Per and Eklundh, Lars (2021). Upscaling Northern Peatland CO2 Fluxes Using Satellite Remote Sensing Data. Remote Sensing. 13 , 818
[Research article]

K

Karlson, Martin and Ostwald, Madelene and Reese, Heather and Sanou, J. and Tankoano, Boalidioa and Mattsson, Eskil (2015). Mapping Tree Canopy Cover and Aboveground Biomass in Sudano-Sahelian Woodlands Using Landsat 8 and Random Forest. Remote sensing. 7 :8 , 10017-10041
[Research article]

Kipkulei, Harison Kiplagat and Bellingrath-Kimura, Sonoko Dorothea and Lana, Marcos and Ghazaryan, Gohar and Boitt, Mark and Sieber, Stefan (2022). Modelling cropland expansion and its drivers in Trans Nzoia County, Kenya. Modeling Earth Systems and Environment. 8 :4 , 5761-5778
[Research article]

Klein, Julian and Haverkamp, Paul J. and Lindberg, Eva and Griesser, Michael and Eggers, Sönke (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 , 2238-2252
[Research article]

L

Lidberg, William (2019). Digital wet areas mapping. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2019:10
ISBN 978-91-7760-338-2
eISBN 978-91-7760-339-9
[Doctoral thesis]

Lindberg, Eva (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
ISBN 978-91-576-7669-6
[Doctoral thesis]

Lindberg, Eva and Eysn, Lothar and Hollaus, Markus and Holmgren, Johan and Pfeifer, Norbert (2014). Delineation of tree crowns and tree species classification from full-waveform airborne laser scanning data using 3-D ellipsoidal clustering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7 :7 , 3174-3181
[Research article]

Lindberg, Eva and Hollaus, Markus (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. 4 :4 , 1004-1023
[Research article]

Lindberg, Eva and Holmgren, Johan (2014). Flygburen laserskanning för skogliga skattningar. Uppsala: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Fakta. Skog ; 2014:4
[Factsheet]

Lindberg, Eva and Holmgren, Johan (2017). Individual Tree Crown Methods for 3D Data from Remote Sensing. Current Forestry Reports. 3 , 19 - 31
[Article Review/Survey]

Lindberg, Eva and Holmgren, Johan and Olofsson, Kenneth and Wallerman, Jörgen and Olsson, Håkan (2013). Estimation of Tree Lists from Airborne Laser Scanning Using Tree Model Clustering and k-MSN Imputation. Remote Sensing. 5 , 1932-1955
[Research article]

Lindberg, Eva and Holmgren, Johan and Olsson, Håkan (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 , 102334
[Research article]

Lindberg, Eva and Lindberg, Eva and Roberge, Jean-Michel and Johansson, Therese and Hollaus, Markus and Holmgren, Johan and Hjältén, Joakim (2015). Individual tree properties from ALS data as input to habitat analysis in boreal forest. I/In: SilviLaser 2015 : 14th conference on Lidar Applications for Assessing and Managing Forest Ecosystems, 150928--150930, La Grande Motte, France.
[Conference Paper]

Lindgren, Nils (2021). Data assimilation of forest variables predicted from remote sensing data. Diss. (sammanfattning/summary) Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880
ISBN 978-91-7760-690-1
eISBN 978-91-7760-691-8
[Doctoral thesis]

Lindgren, Nils and Christensen, Pernilla and Nilsson, Björn and Åkerholm, Marianne and Allard, Anna and Reese, Heather and Olsson, Håkan (2015). Using optical satellite data and airborne lidar data for a nationwide sampling survey. Remote sensing. 7 :4 , 4253-4267
[Research article]

Lindgren, Nils and Nyström, Kenneth and Saarela, Svetlana and Olsson, Håkan and Ståhl, Göran (2022). Importance of Calibration for Improving the Efficiency of Data Assimilation for Predicting Forest Characteristics. Remote Sensing. 14 :18 , 4627
[Research article]

Lindgren, Nils and Olsson, Håkan and Nyström, Kenneth and Nyström, Mattias and Ståhl, Göran (2022). Data Assimilation of Growing Stock Volume Using a Sequence of Remote Sensing Data from Different Sensors. Canadian Journal of Remote Sensing, 48 (2). TAYLOR AND FRANCIS INC
[Book (author)]

M

Milenkovic, Milutin and Schnell, Sebastian and Holmgren, Johan and Ressi, Camillo and Lindberg, Eva and Hollaus, Markus and Pfeifer, Norbert and Olsson, Håkan (2017). Influence of footprint size and geolocation error on the precision of forest biomass estimates from space-borne waveform LiDAR. Remote Sensing of Environment. 200 , 74-88
[Research article]

Mohtashami, Sima (2022). GIS-based decision support systems to minimise soil impacts in logging operations. Diss. (sammanfattning/summary) Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880
ISBN 978-91-8046-010-1
eISBN 978-91-8046-011-8
[Doctoral thesis]

N

Nilsson, Mats and Olsson, Håkan (2008). Fjärranalysmetoder för datainsamling vid skogsbruksplanläggning i privatskogsbruket. Umeå: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning och geomatik ; 226
[Report]

Nordkvist, Karin and Olsson, Håkan (2013). Laserskanning och digital fotogrammetri i skogsbruket. Umeå: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning och geomatik ; 388
[Report]

Noumonvi, Koffi Dodji and Oblisar, Gal and Zust, Ana and Vilhar, Ursa (2021). Empirical Approach for Modelling Tree Phenology in Mixed Forests Using Remote Sensing. Remote Sensing. 13 , 3015
[Research article]

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
ISBN 978-91-576-7966-6
eISBN 978-91-576-7967-3
[Doctoral thesis]

Nyström, Mattias and Lindgren, Nils and Wallerman, Jörgen and Ehlers, Sarah and Grafström, Anton and Muszta, Anders and Nyström, Kenneth and Willén, Erik and Fransson, Johan E.S. and Bohlin, Jonas and Olsson, Håkan and Ståhl, Göran (2015). Assimilating remote sensing data with forest growth models.
[Conference abstract]

Nyström, Mattias and Lindgren, Nils and Wallerman, Jörgen and Grafström, Anton and Muszta, Anders and Nyström, Kenneth and Bohlin, Jonas and Fransson, Johan E.S. and Ehlers, Sarah and Olsson, Håkan and Ståhl, Göran (2015). Data assimilation in forest inventory: first empirical results. Forests. 6 :12 , 4540-4557
[Research article]

Nyström, Mattias and Lindgren, Nils and Wallerman, Jörgen and Grafström, Anton and Muszta, Anders and Nyström, Kenneth and Ståhl, Göran and Olsson, Håkan (2015). Data assimilation in forest inventory, first empirical results using ALS data. I/In: SilviLaser 2015, 28 - 30 September 2015, La Grand Motte, France.
[Conference Paper]

O

Olofsson, Kenneth and Holmgren, Johan (2022). Co-registration of single tree maps and data captured by a moving sensor using stem diameter weighted linking. Silva Fennica. 56 :3 , 10712
[Research article]

Olofsson, Kenneth and Holmgren, Johan and Lindberg, Eva and Nyström, Mattias and Olsson, Håkan (2017). Markbaserad laserskanning - ger stammars form och läge. Uppsala: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Fakta. Skog ; 2017:2
[Factsheet]

Olsson, Per-Ola and Vivekar, Ashish and Adler, Karl and Garcia Millan, Virginia E. and Koc, Alexander and Alamrani, Marwan and Eklundh, Lars (2021). Radiometric Correction of Multispectral UAS Images: Evaluating the Accuracy of the Parrot Sequoia Camera and Sunshine Sensor. Remote Sensing. 13 , 577
[Research article]

P

Palencia, Pablo and Barroso, Patricia and Vicente, Joaquín and Hofmeester, Tim and Ferreres, Javier and Acevedo, Pelayo (2022). Random encounter model is a reliable method for estimating population density of multiple species using camera traps. Remote sensing in ecology and conservation. 8 :5 , 670-682
[Research article]

Persson, Magnus and Lindberg, Eva and Reese, Heather (2018). Tree Species Classification with Multi-Temporal Sentinel-2 Data. Remote Sensing. 10 , 1794
[Research article]

Persson, Henrik (2016). Estimation of boreal forest attributes from very high resolution pleiades data. Remote sensing. 8 :9 , 1-19
[Research article]

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
ISBN 978-91-576-8116-4
eISBN 978-91-576-8117-1
[Doctoral thesis]

Persson, Henrik and Ekström, Magnus and Ståhl, Göran (2022). Quantify and account for field reference errors in forest remote sensing studies. Remote Sensing of Environment. 283 , 113302
[Research article]

Persson, Henrik and Fransson, Johan (2016). Estimating site index from short term TanDEM-X canopy height models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9 :8 , 3598-3606
[Research article]

Persson, Henrik and Fransson, Johan E.S. (2013). Estimation of forest variables using radargrammetry on TerraSAR-X data in combination with a high resolution DEM. I/In: Living Planet Symposium, 9-13 September 2013, Edinburgh, UK.
[Conference Paper]

Persson, Henrik and Jonzen, Jonas and Nilsson, Mats (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 , 102275
[Research article]

Persson, Henrik and Olofsson, Kenneth and Holmgren, Johan (2021). Impact of sample size – empirical results from a hybrid inference two-phase inventory based on dense laser scanning. I/In: SilviLaser Conference 2021, 210928-210930, Vienna, Austria.
[Conference Paper]

Persson, Henrik and Olofsson, Kenneth and Holmgren, Johan (2022). Two-phase forest inventory using very-high-resolution laser scanning. Remote Sensing of Environment. 271 , 112909
[Research article]

Persson, Henrik and Perko, Roland (2016). Assessment of boreal forest height from WorldView-2 satellite stereo images. Remote sensing letters. 7 :12 , 1150-1159
[Research article]

Persson, Henrik and Soja, Maciej J. and Fransson, Johan and Ulander, Lars 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
[Research article]

Persson, Henrik and Soja, Maciej J. and Olsson, Håkan and Fransson, Johan E.S. (2015). Satellitbaserade 3D-data till hjälp för skogliga skattningar. Uppsala: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management, Sveriges lantbruksuniversitet. Fakta. Skog ; 2015:1
[Factsheet]

Persson, Henrik and Ståhl, Göran (2020). Characterizing Uncertainty in Forest Remote Sensing Studies. Remote Sensing. 12 , 1-21
[Research article]

Pfeffer, Sabine and Spitzer, Robert and Allen, Andrew and Hofmeester, Tim and Ericsson, Göran and Widemo, Fredrik and Singh, Navinder and Cromsigt, Joris (2018). Pictures or pellets? Comparing camera trapping and dung counts as methods for estimating population densities of ungulates. Remote Sensing in Ecology and Conservation. 4 , 173-183
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Pommerening, Arne and Gaulton, Rachel and Magdon, Paul and Myllymaki, Mari (2021). CanopyShotNoise - An individual-based tree canopy modelling framework for projecting remote-sensing data and ecological sensitivity analysis. International Journal of Remote Sensing. 42 , 6837-6865
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ISBN 978-91-576-7630-6
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Reese, Heather and Nilsson, Mats and Olsson, Håkan (2009). Comparison of Resourcesat-1 AWiFS and SPOT-5 data over managed boreal forest stands. International journal of remote sensing. 30 :19 , 4957-4978
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ISBN 978-91-576-8238-3
eISBN 978-91-576-8239-0
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Söderström, Mats and Piikki, Kristin and Stenberg, Maria and Stadig, Henrik and Martinsson, Johan (2017). Producing nitrogen (N) uptake maps in winter wheat by combining proximal crop measurements with Sentinel-2 and DMC satellite images in a decision support system for farmers. Acta agriculturae Scandinavica. Section B, Soil and plant science. 67 , 637-650
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Vaudour, Emmanuelle and Gholizadeh, Asa and Castaldi, Fabio and Saberioon, Mohammadmehdi and Boruvka, Lubos and Urbina-Salazar, Diego and Fouad, Youssef and Arrouays, Dominique and Richer-de-Forges, Anne C. and Biney, James and Wetterlind, Johanna and Van Wesemael, Bas (2022). Satellite Imagery to Map Topsoil Organic Carbon Content over Cultivated Areas: An Overview. Remote Sensing. 14 :12 , 2917
[Article Review/Survey]

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Wetterlind, Johanna and Stenberg, Bo (2010). Near infrared spectroscopy for within-field soil characterisation – Small local calibrations compared with national libraries spiked with local samples. European journal of soil science. 61 :6 , 823-843
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Wolters, Sandra (2022). Towards synthesis for nitrogen fertilisation using a decision support system. Diss. (sammanfattning/summary) Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880
ISBN 978-91-7760-993-3
eISBN 978-91-7760-994-0
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