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Etternavn: Gobakken   Fornavn: Terje   Alle publ. kanaler

Viser treff 1-50 av 345 << Forrige 1 2 3 4 5 6 7    Neste >>

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. -
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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
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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
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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. -
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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. -
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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. -
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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
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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
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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
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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. -
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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. -
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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. -
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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
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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. -
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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. -
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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. -
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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
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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. -
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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
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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. -
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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
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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
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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. -
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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. -
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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
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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. -
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27 Astrup, Rasmus Andreas; Hanssen, Kjersti Holt; Gobakken, Terje.
Bærekraftig skogbruk med ny teknologi. Dagens næringsliv 2018 s. 31-
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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
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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. -
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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
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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
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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
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33 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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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. -
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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
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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
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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. -
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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
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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
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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
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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
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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. -
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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
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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
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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
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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
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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
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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
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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
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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
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