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2020
1 Björk, Sara; Anfinsen, Stian Normann; Næsset, Erik; Gobakken, Terje; Zahabu, Eliakimu.
Generation of Lidar-Predicted Forest Biomass Maps from Radar Backscatter with Conditional Generative Adversarial Networks. IEEE International Geoscience and Remote Sensing Symposium 2020; 2020-09-26 - 2020-10-02
UiT NMBU Untitled
 
2 Cosenza, Diogo N.; Korhonen, Lauri; Maltamo, Matti; Packalén, Petteri; Strunk, Jacob L.; Næsset, Erik; Gobakken, Terje; Soares, Paula; Tome, Margarida.
Comparison of linear regression, k-nearest neighbour and random forest methods in airborne laser-scanning-based prediction of growing stock. Forestry (London) 2020 ;Volum 2020. s. -
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3 de Lera Garrido, Ana; Gobakken, Terje; Ørka, Hans Ole; Næsset, Erik; Bollandsås, Ole Martin.
Reuse of field data in ALS-assisted forest inventory. Silva Fennica 2020 ;Volum 54.(5) s. -
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4 Kangas, Annika; Gobakken, Terje; Næsset, Erik.
Benefits of past inventory data as prior information for the current inventory. Forest Ecosystems 2020 ;Volum 7. s. -
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5 Karjalainen, Tomi; Mehtätalo, Lauri; Packalén, Petteri; Gobakken, Terje; Næsset, Erik; Maltamo, Matti.
Field calibration of merchantable and sawlog volumes in forest inventories based on airborne laser scanning. Canadian Journal of Forest Research 2020 ;Volum 50.(12) s. 1352-1364
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6 McRoberts, Ronald E.; Næsset, Erik; Sannier, Christophe; Stehman, Stephen V.; Tomppo, Erkki O..
Remote sensing support for the gain-loss approach for greenhouse gas inventories. Remote Sensing 2020 ;Volum 12.(11) s. -
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7 Mienna, Ida Marielle; Speed, James David Mervyn; Klanderud, Kari; Austrheim, Gunnar; Næsset, Erik; Bollandsås, Ole Martin.
The relative role of climate and herbivory in driving treeline dynamics along a latitudinal gradient. Journal of Vegetation Science (JVS) 2020 ;Volum 31.(3) s. 392-402
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8 Mohammadi, Jahangir; Shataee, Shaban; Næsset, Erik.
Modeling tree species diversity by combining ALS data and digital aerial photogrammetry. Science of Remote Sensing 2020 ;Volum 2. s. -
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9 Noordermeer, Lennart; Gobakken, Terje; Bollandsås, Ole Martin; Næsset, Erik.
Automatisert bonitering med laser øker nytteverdien for skogeier. skogplanseminar; 2020-02-11 - 2020-02-12
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10 Noordermeer, Lennart; Gobakken, Terje; Næsset, Erik; Bollandsås, Ole Martin.
Economic utility of 3D remote sensing data for estimation of site index in Nordic commercial forest inventories: a comparison of airborne laser scanning, digital aerial photogrammetry and conventional practices. Scandinavian Journal of Forest Research 2020 ;Volum 36.(1) s. 55-67
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11 Noordermeer, Lennart; Gobakken, Terje; Næsset, Erik; Bollandsås, Ole Martin.
Predicting and mapping site index in operational forest inventories using bitemporal airborne laser scanner data. Forest Ecology and Management 2020 ;Volum 457. s. -
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12 Næsset, Erik; McRoberts, Ronald E.; Pekkarinen, Anssi; Saatchi, Sassan; Santoro, Maurizio; Trier, Øivind Due; Zahabu, Eliakimu; Gobakken, Terje.
Corrigendum to ‘Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania’ [Int J Appl Earth Obs Geoinformation 89 (2020) 102109]. International Journal of Applied Earth Observation and Geoinformation 2020 ;Volum 93. s. -
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13 Næsset, Erik; McRoberts, Ronald E.; Pekkarinen, Anssi; Saatchi, Sassan; Santoro, Maurizio; Trier, Øivind Due; Zahabu, Eliakimu; Gobakken, Terje.
Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania. International Journal of Applied Earth Observation and Geoinformation 2020 ;Volum 89. s. -
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14 Strimbu, Victor Felix; Ørka, Hans Ole; Næsset, Erik.
Consistent forest biomass stock and change estimation across stand, property and landscape levels. Canadian Journal of Forest Research 2020
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15 Sørngård, Erik; Astrup, Rasmus Andreas; Næsset, Erik; Gobakken, Terje; Noordermeer, Lennart.
Presis stedfesting av trær med hogstmaskin. PRECISION - webinar om råte i skog; 2020-11-23 - 2020-11-23
NIBIO NMBU Untitled
 
16 Taddese, Habitamu; Asrat, Zerihun; Burud, Ingunn; Gobakken, Terje; Ørka, Hans Ole; Dick, Øystein B.; Næsset, Erik.
Use of remotely sensed data to enhance estimation of aboveground biomass for the dry afromontane forest in south-central Ethiopia. Remote Sensing 2020 ;Volum 12.(20) s. -
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2019
17 Bollandsås, Ole Martin; Ørka, Hans Ole; Dalponte, Michele; Gobakken, Terje; Næsset, Erik.
Modelling site index in forest stands using airborne hyperspectral imagery and Bi-temporal laser scanner data. Remote Sensing 2019 ;Volum 11.(9) s. -
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18 Domingo, Dario; Ørka, Hans Ole; Næsset, Erik; Kachamba, Daud Jones; Gobakken, Terje.
Effects of UAV image resolution, camera type, and image overlap on accuracy of biomass predictions in a tropicalwoodland. Remote Sensing 2019 ;Volum 11.(8) s. -
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19 Duncanson, Laura I.; Armston, John David; Disney, Mathias I.; Avitabile, Valerio; Barbier, Nicholas S.; Calders, Kim; Carter, Sarah; Chave, Jérôme; Herold, Martin; Crowther, Thomas Ward; Falkowski, Michael J.; Kellner, James R.; Labrière, Nicolas; Lucas, Richard; MacBean, Natasha; McRoberts, Ronald E.; Meyer, Victoria; Næsset, Erik; Nickeson, Jaime E.; Paul, Keryn I.; Phillips, Oliver L.; Réjou-Méchain, Maxime; Román-Colón, Miguel O.; Roxburgh, Stephen H.; Saatchi, Sassan S.; Schepaschenko, Dmitry G.; Scipal, Klaus; Siqueira, Paul R.; Whitehurst, Amanda S.; Williams, Matthew Leighton.
The importance of consistent global forest aboveground biomass product validation. Surveys in geophysics 2019 ;Volum 40.(4) s. 979-999
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20 Dutca, I.; McRoberts, Ronald E.; Næsset, Erik; Blujdea, V.N.B..
A practical measure for determining if diameter (D) and height (H) should be combined into D2H in allometric biomass models. Forestry (London) 2019 ;Volum 92.(5) s. 627-634
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21 Eid, Tron Haakon; Hoen, Hans Fredrik; Næsset, Erik; Trømborg, Erik.
NMBU og Landsskogtakseringen. I: Landsskogtakseringen 1919–2019. Ås: Norsk institutt for bioøkonomi - NIBIO 2019 ISBN 978-82-17-02412-5. s. 128-140
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22 Esteban, Jessica; McRoberts, Ronald E.; Fernandez-Landa, Alfredo; Tome, Jose Luis; Næsset, Erik.
Estimating forest volume and biomass and their changes using random forests and remotely sensed data. Remote Sensing 2019 ;Volum 11.(16) s. -
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23 Herold, Martin; Carter, Sarah; Avitabile, Valerio; Espejo, Andres B.; Jonckheere, Inge; Lucas, Richard; McRoberts, Ronald E.; Næsset, Erik; Nightingale, Joanne; Petersen, Rachael; Reiche, Johannes; Romijn, Erika; Rosenqvist, Åke; Rozendaal, Danaë M.A.; Seifert, Frank Martin; Sanz, Maria J.; de Sy, Veronique.
The role and need for space-based forest biomass-related measurements in environmental management and policy. Surveys in geophysics 2019 ;Volum 40.(4) s. 757-778
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24 Magnussen, Steen; Næsset, Erik; Gobakken, Terje.
An application niche for finite mixture models in forest resource surveys. Canadian Journal of Forest Research 2019 ;Volum 49.(11) s. 1453-1462
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25 Malek, Salim; Miglietta, Franco; Gobakken, Terje; Næsset, Erik; Gianelle, Damiano; Dalponte, Michele.
Optimizing field data collection for individual tree attribute predictions using active learning methods. Remote Sensing 2019 ;Volum 11.(8) s. -
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26 Malek, Salim; Miglietta, Franco; Gobakken, Terje; Næsset, Erik; Gianelle, Damiano; Dalponte, Michele.
Prediction of stem diameter and biomass at individual tree crown level with advanced machine learning techniques. iForest : Biogeosciences and Forestry 2019 ;Volum 12.(3) s. 323-329
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27 Maltamo, Matti; Hauglin, Marius; Næsset, Erik; Gobakken, Terje.
Estimating stand level stem diameter distribution utilizing harvester data and airborne laser scanning. Silva Fennica 2019 ;Volum 53.(3) s. -
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28 McRoberts, Ronald E.; Næsset, Erik; Liknes, Greg C.; Chen, Qi; Walters, Brian F.; Saatchi, Sassan; Herold, Martin.
Using a finer resolution biomass map to assess the accuracy of a regional, map-based estimate of forest biomass. Surveys in geophysics 2019 ;Volum 40.(4) s. 1001-1015
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29 McRoberts, Ronald E.; Næsset, Erik; Saatchi, Sassan; Liknes, Greg C.; Walters, Brian F.; Chen, Qi.
Local validation of global biomass maps. International Journal of Applied Earth Observation and Geoinformation 2019 ;Volum 83.
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30 Noordermeer, Lennart; Bollandsås, Ole Martin; Gobakken, Terje; Næsset, Erik.
Mapping forest productivity in operational forest inventories using bitemporal airborne laser scanner data. Nordic Remote Sensing Conference 2019; 2019-09-17 - 2019-09-19
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31 Noordermeer, Lennart; Bollandsås, Ole Martin; Ørka, Hans Ole; Næsset, Erik; Gobakken, Terje.
Comparing the accuracies of forest attributes predicted from airborne laser scanning and digital aerial photogrammetry in operational forest inventories. Remote Sensing of Environment 2019 ;Volum 226. s. 26-37
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32 Noordermeer, Lennart; Økseter, Roar; Ørka, Hans Ole; Gobakken, Terje; Næsset, Erik; Bollandsås, Ole Martin.
Classifications of forest change by using bitemporal airborne laser scanner data. Remote Sensing 2019 ;Volum 11.(18) s. -
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33 Næsset, Erik; Gobakken, Terje; McRoberts, Ronald E..
A model-dependent method for monitoring subtle changes in vegetation height in the boreal-alpine ecotone using bi-temporal, three dimensional point data from airborne laser scanning. Remote Sensing 2019 ;Volum 11.(15) s. -
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2018
34 Asrat, Zerihun; Taddese, Habitamu; Ørka, Hans Ole; Gobakken, Terje; Burud, Ingunn; Næsset, Erik.
Estimation of forest area and canopy cover based on visual interpretation of satellite images in Ethiopia. Land 2018 ;Volum 7.(3) s. -
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35 Babcock, Chad; Finley, Andrew O.; Andersen, Hans-Erik; Pattison, Robert; Cook, Bruce D.; Morton, Douglas C.; Alonzo, Michael; Nelson, Ross; Gregoire, Timothy; Ene, Liviu Theodor; Gobakken, Terje; Næsset, Erik.
Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations. Remote Sensing of Environment 2018 ;Volum 212. s. 212-230
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36 Bollandsås, Ole Martin; Noordermeer, Lennart; Næsset, Erik.
Bonitering ved bi-temporale laserdata. Skog & Tre; 2018-05-31 - 2018-06-01
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37 Bollandsås, Ole Martin; Noordermeer, Lennart; Næsset, Erik.
Site index estimation using bi-temporal ALS. Oppstartsmøte, ForestPotential; 2018-04-22 - 2018-04-23
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38 Dalponte, Michele; Ene, Liviu Theodor; Gobakken, Terje; Næsset, Erik; Gianelle, Damiano.
Predicting selected forest stand characteristics with multispectral ALS data. Remote Sensing 2018 ;Volum 10.(4) s. -
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39 Dalponte, Michele; Frizzera, Lorenzo; Ørka, Hans Ole; Gobakken, Terje; Næsset, Erik; Gianelle, Damiano.
Predicting stem diameters and aboveground biomass of individual trees using remote sensing data. Ecological Indicators 2018 ;Volum 85. s. 367-376
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40 Giannetti, Francesca; Chirici, Gherardo; Gobakken, Terje; Næsset, Erik; Travaglini, Davide; Puliti, Stefano.
A new approach with DTM-independent metrics for forest growing stock prediction using UAV photogrammetric data. Remote Sensing of Environment 2018 ;Volum 213. s. 195-205
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41 Gobakken, Terje; Næsset, Erik; Hauglin, Marius; Dypsund, Svein; Sørngård, Erik.
Hogstmaskinen som skogtaksator. Norsk Skogbruk 2018 ;Volum 64.(4) s. 48-50
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42 Hauglin, Marius; Bollandsås, Ole Martin; Gobakken, Terje; Næsset, Erik.
Monitoring small pioneer trees in the forest-tundra ecotone: using multi-temporal airborne laser scanning data to model height growth. Environmental Monitoring & Assessment 2018 ;Volum 190.(1) s. -
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43 Hauglin, Marius; Hansen, Endre Hofstad; Sørngård, Erik; Næsset, Erik; Gobakken, Terje.
Utilizing accurately positioned harvester data: modelling forest volume with airborne laser scanning. Canadian Journal of Forest Research 2018 ;Volum 48.(8) s. 913-922
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44 Kangas, Annika; Astrup, Rasmus Andreas; Breidenbach, Johannes; Fridman, Jonas; Gobakken, Terje; Korhonen, Kari T.; Maltamo, Matti; Nilsson, Mats; Nord-Larsen, Thomas; Næsset, Erik; Olsson, Håkan.
Remote sensing and forest inventories in Nordic countries - roadmap for the future. Scandinavian Journal of Forest Research 2018 ;Volum 33.(4) s. 397-412
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45 Kangas, Annika; Gobakken, Terje; Puliti, Stefano; Hauglin, Marius; Næsset, Erik.
Value of airborne laser scanning and digital aerial photogrammetry data in forest decision making. Silva Fennica 2018 ;Volum 52.(1) s. -
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46 McRoberts, Ronald E.; Næsset, Erik; Gobakken, Terje.
Comparing the stock-change and gain–loss approaches for estimating forest carbon emissions for the aboveground biomass pool. Canadian Journal of Forest Research 2018 ;Volum 48.(12) s. 1535-1542
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47 McRoberts, Ronald E.; Næsset, Erik; Gobakken, Terje; Chirici, Gherardo; Condés, Sonia; Hou, Zhengyang; Saarela, Svetlana; Chen, Qi; Ståhl, Göran; Walters, Brian F..
Assessing components of the model-based mean square error estimator for remote sensing assisted forest applications. Canadian Journal of Forest Research 2018 ;Volum 48.(6) s. 642-649
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48 McRoberts, Ronald E.; Stehman, Stephen; Liknes, Greg C; Næsset, Erik; Sannier, Christophe; Walters, Brian F..
The effects of imperfect reference data on remote sensing-assisted estimators of land cover class proportions. ISPRS journal of photogrammetry and remote sensing (Print) 2018 ;Volum 142. s. 292-300
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49 Noordermeer, Lennart; Bollandsås, Ole Martin; Gobakken, Terje; Næsset, Erik.
Direct and indirect site index determination for Norway spruce and Scots pine using bitemporal airborne laser scanner data. Forest Ecology and Management 2018 ;Volum 428. s. 104-114
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50 Noordermeer, Lennart; Bollandsås, Ole Martin; Gobakken, Terje; Næsset, Erik.
Direct and indirect site index determination for Norway spruce and Scots pine using bitemporal airborne laser scanner data. ForestSat; 2018-10-01 - 2201-10-05
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