Cristin

2020
1.	Asrat, Zerihun; Eid, Tron; Gobakken, Terje; Negash, Mesele. Aboveground tree biomass prediction options for the Dry Afromontane forests in south-central Ethiopia. Forest Ecology and Management 2020 ;Volum 473. s. - NMBU Untitled

2.	Asrat, Zerihun; Eid, Tron; Gobakken, Terje; Negash, Mesele. Modelling and quantifying tree biometric properties of dry Afromontane forests of south‑central Ethiopia. Trees 2020 ;Volum 34. s. 1411-1426 NMBU Untitled

3.	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

4.	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. - NMBU Untitled

5.	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. - NMBU Untitled

6.	Kangas, Annika; Gobakken, Terje; Næsset, Erik. Benefits of past inventory data as prior information for the current inventory. Forest Ecosystems 2020 ;Volum 7. s. - NMBU Untitled

7.	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 NMBU Untitled

8.	Noordermeer, Lennart; Gobakken, Terje; Bollandsås, Ole Martin; Næsset, Erik. Automatisert bonitering med laser øker nytteverdien for skogeier. skogplanseminar; 2020-02-11 - 2020-02-12 NMBU Untitled

9.	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 NMBU Untitled

10.	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. - NMBU Untitled

11.	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. - NR NMBU Untitled

12.	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. - NR NMBU Untitled

13.	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

14.	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. - NMBU Untitled
2019
15.	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. - NMBU Untitled

16.	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. - NMBU Untitled

17.	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 NMBU Untitled

18.	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. - NMBU Untitled

19.	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 NMBU Untitled

20.	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. - NIBIO NMBU Untitled

21.	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 NMBU Untitled

22.	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 NMBU Untitled

23.	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. - NMBU Untitled

24.	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. - NMBU Untitled

25.	Rannestad, Meley Mekonen; Eid, Tron Haakon; Bollandsås, Ole Martin; Gobakken, Terje; Tetemke, Buruh Abebe. Above-ground biomass prediction model using Landsat 8 data: a test on possible approaches for seasonally dry forests of northern Ethiopia. 2nd Conference of the Arabian Journal of Geosciences (CAJG); 2019-11-25 - 2019-11-28 NMBU Untitled
2018
26.	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. - NMBU Untitled

27.	Astrup, Rasmus Andreas; Hanssen, Kjersti Holt; Gobakken, Terje. Bærekraftig skogbruk med ny teknologi. Dagens næringsliv 2018 s. 31- NIBIO NMBU Untitled

28.	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 NMBU Untitled

29.	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. - NMBU Untitled

30.	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 NMBU Untitled

31.	Fischer, Carolin; Høibø, Olav Albert; Vestøl, Geir Isak; Hauglin, Marius; Hansen, Endre Hofstad; Gobakken, Terje. Predicting dynamic modulus of elasticity of Norway spruce structural timber by forest inventory, airborne laser scanning and harvester-derived data. Scandinavian Journal of Forest Research 2018 ;Volum 33.(6) s. 603-612 NMBU Untitled

32.	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 NMBU Untitled

33.	Gobakken, Terje; Næsset, Erik; Hauglin, Marius; Dypsund, Svein; Sørngård, Erik. Hogstmaskinen som skogtaksator. Norsk Skogbruk 2018 ;Volum 64.(4) s. 48-50 NMBU Untitled

34.	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. - NMBU Untitled

35.	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 NMBU Untitled

36.	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 NIBIO NMBU Untitled

37.	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. - NMBU Untitled

38.	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 NMBU Untitled

39.	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 NMBU Untitled

40.	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 NMBU Untitled

41.	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 NMBU Untitled

42.	Oveland, Ivar; Hauglin, Marius; Giannetti, Francesca; Kjørsvik, Narve Schipper; Gobakken, Terje. Comparing Three Different Ground Based Laser Scanning Methods for Tree Stem Detection. Remote Sensing 2018 ;Volum 10.(4) s. - NMBU Untitled

43.	Puliti, Stefano; Saarela, Svetlana; Gobakken, Terje; Ståhl, Gøran; Næsset, Erik. Combining UAV and Sentinel-2 auxiliary data for forest growing stock volume estimation through hierarchical model-based inference. Remote Sensing of Environment 2018 ;Volum 204. s. 485-497 NMBU Untitled

44.	Trier, Øivind Due; Salberg, Arnt Børre; Haarpaintner, Jörg; Aarsten, Dagrun; Gobakken, Terje; Næsset, Erik. Multi-sensor forest vegetation height mapping methods for Tanzania. European Journal of Remote Sensing 2018 ;Volum 51.(1) s. 587-606 NORCE NR NMBU Untitled

45.	Trier, Øivind Due; Salberg, Arnt Børre; Kermit, Martin Andreas; Rudjord, Øystein; Gobakken, Terje; Næsset, Erik; Aarsten, Dagrun. Tree species classification in Norway from airborne hyperspectral and airborne laser scanning data. European Journal of Remote Sensing 2018 ;Volum 51.(1) s. 336-351 NR NMBU Untitled

46.	Ørka, Hans Ole; Bollandsås, Ole Martin; Hansen, Endre Hofstad; Næsset, Erik; Gobakken, Terje. Effects of terrain slope and aspect on the error of ALS-based predictions of forest attributes. Forestry (London) 2018 ;Volum 91.(2) s. 225-237 NMBU Untitled

47.	Ørka, Hans Ole; Eid, Tron Haakon; Kachamba, Daud Jones; Gobakken, Terje; Mwase, Weston. Biomass estimation using 3D data from unmanned aerial vehicle imagery for trees in an agricultural landscape of Malawi. Sustainable Agricultural and Natural Resource Management under Changing Climate in Sub Saharan Africa; 2018-10-16 - 2018-10-18 NMBU Untitled
2017
48.	Bollandsås, Ole Martin; Ene, Liviu Theodor; Gobakken, Terje; Næsset, Erik. Estimation of biomass change in montane forests in Norway along a 1200 km latitudinal gradient using airborne laser scanning: a comparison of direct and indirect prediction of change under a model-based inferential approach. Scandinavian Journal of Forest Research 2017 ;Volum 33.(2) s. 155-165 NMBU Untitled

49.	Bollandsås, Ole Martin; Ørka, Hans Ole; Gobakken, Terje; Næsset, Erik; Rødland, Jan Ivar; Korsvold, Geir. Lasertakst i Vestlandsterreng. Prosjektseminar - Sluttseminar Bionær; 2017-10-26 - 2017-10-26 NMBU Untitled

50.	Bollandsås, Ole Martin; Ørka, Hans Ole; Gobakken, Terje; Næsset, Erik; Rødland, Jan-Ivar; Korsvold, Geir. Bratt terreng kan påvirke lasertaksten. Norsk Skogbruk 2017 (6) s. 64-65 NMBU Untitled

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