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English
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For å registrere i Cristin må du være vitenskapelig eller administrativt ansatt.
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2020
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1. |
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
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2019
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2. |
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
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3. |
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
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4. |
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
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5. |
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
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6. |
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
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7. |
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
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8. |
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
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9. |
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
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10. |
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
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