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Browsing Brage NMBU by Author "Næsset, Erik"

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    • A poststratified ratio estimator for model-assisted biomass estimation in sample-based airborne laser scanning surveys 

      Ringvall, Anna H.; Ståhl, Göran; Ene, Liviu Theodor; Næsset, Erik; Gobakken, Terje; Gregoire, Timothy G. (Peer reviewed; Journal article, 2016)
    • Automatic Detection of Small Single Trees in the Forest-Tundra Ecotone Using Airborne Laser Scanning 

      Stumberg, Nadja; Bollandsås, Ole Martin; Gobakken, Terje; Næsset, Erik (Journal article; Peer reviewed, 2014)
    • Automatic Estimation of Tree Position and Stem Diameter Using a Moving Terrestrial Laser Scanner 

      Oveland, Ivar; Hauglin, Marius; Gobakken, Terje; Næsset, Erik; Maalen-Johansen, Ivar (Journal article; Peer reviewed, 2017)
    • Bestemmelse av diameterfordeling i bestand : sammenligninger av ulike takstopplegg 

      Eid, Tron; Gobakken, Terje; Næsset, Erik (MINA fagrapport;6, Report, 2005)
      Verdiskapningen og konkurransekraften i skogbruk og skogindustri vil kunne øke dersom skogbruksplanene inneholder nyttig informasjon for videreforedling av tømmeret. Hensikten med dette arbeidet har vært å sammenligne ulike ...
    • Detection and segmentation of small trees in the forest-tundra ecotone using airborne laser scanning 

      Hauglin, Marius; Næsset, Erik (Journal article; Peer reviewed, 2016)
    • Discrimination between Ground Vegetation and Small Pioneer Trees in the Boreal-Alpine Ecotone Using Intensity Metrics Derived from Airborne Laser Scanner Data 

      Næsset, Erik (Journal article; Peer reviewed, 2016)
    • Effects of field plot size on prediction accuracy of aboveground biomass in airborne laser scanning-assisted inventories in tropical rain forests of Tanzania 

      Mauya, Ernest William; Hansen, Endre Hofstad; Gobakken, Terje; Bollandsås, Ole Martin; Malimbwi, Rogers Ernerst; Næsset, Erik (Journal article; Peer reviewed, 2015)
    • Effects of pulse density on digital terrain models and canopy metrics using airborne laser scanning in a tropical rainforest 

      Hansen, Endre Hofstad; Gobakken, Terje; Næsset, Erik (Journal article; Peer reviewed, 2015)
    • Estimating stand level stem diameter distribution utilizing harvester data and airborne laser scanning 

      Maltamo, Matti; Hauglin, Marius; Næsset, Erik; Gobakken, Terje (Peer reviewed; Journal article, 2019)
      Accurately positioned single-tree data obtained from a cut-to-length harvester were used as training harvester plot data for k-nearest neighbor (k-nn) stem diameter distribution modelling applying airborne laser scanning ...
    • Estimation of biomass in tropical rainforest using airborne laser scanning 

      Hansen, Endre Hofstad (PhD Thesis;2015:12, Doctoral thesis, 2019-01-08)
      Forest inventories based on field sample surveys, supported by auxiliary remotely sensed data, have the potential to provide transparent and confident estimates of forest carbon stocks required in climate change mitigation ...
    • Fjernmåling av barmasse - en skoghelsevariabel 

      Solberg, Svein; Lange, Holger; Næsset, Erik; Aurdal, Lars; Solberg, Rune (Journal article, 2005)
      Barmasse er sterkt knyttet til kronetetthet og til bladarealindeks (LAI), og er viktig for fjernmåling av skogens helsetilstand. Vi kan nå presentere foreløpige, men lovende resultater for måling av barmasse ved hjelp av ...
    • Forest monitoring with airborne laser scanning in Tanzania 

      Næsset, Erik (MINA fagrapport;31, Report, 2015)
      The research presented in this report was conducted in three separate study areas in Tanzania. First, an area in Amani Nature Reserve located in the Eastern Arc Mountains was selected to analyze to what extent airborne ...
    • Hierarchical model-based inference for forest inventory utilizing three sources of information 

      Saarela, Svetlana; Holm, Sören; Grafström, Anton; Schnell, Sebastian; Næsset, Erik; Gregoire, Timothy G.; Nelson, Ross F.; Ståhl, Göran (Journal article; Peer reviewed, 2016)
    • Improving forest inventory and monitoring by combining remotely sensed three-dimensional and spectral information 

      Ørka, Hans Ole (PhD Thesis;2011:22, Doctoral thesis, 2011)
      Forest inventory has benefited from remote sensing for more than 80 years. Spectral information from aerial cameras has been the dominant data source during this period. However, over the past decade the use of three-dimensional ...
    • Influence of plot size on efficiency of biomass estimates in inventories of dry tropical forests assisted by photogrammetric data from an unmanned aircraft system 

      Kachamba, Daud Jones; Ørka, Hans Ole; Næsset, Erik; Eid, Tron Haakon; Gobakken, Terje (Journal article; Peer reviewed, 2017)
    • Inventory of small forest areas using an unmanned aerial system 

      Puliti, Stefano; Ørka, Hans Ole; Gobakken, Terje; Næsset, Erik (Journal article; Peer reviewed, 2015)
    • Large-area forest productivity estimation using bitemporal data from airborne laser scanning and digital aerial photogrammetry 

      Noordermeer, Lennart (PhD Thesis;2020:37, Doctoral thesis, 2020)
      Site index (SI) indicates the magnitude of timber production that can be realized at a given site and is a crucial variable in forest planning. In Norwegian forest management inventories, SI is commonly quanti ed with large ...
    • Mapping above- and below-ground carbon pools in boreal forests: the case for airborne Lidar 

      Kristensen, Terje; Næsset, Erik; Ohlson, Mikael; Bolstad, Paul V.; Kolka, Randall (Journal article; Peer reviewed, 2015)
    • Mapping and estimating the total living biomass and carbon in low-biomass woodlands using Landsat 8 CDR data 

      Gizachew, Belachew; Solberg, Svein; Næsset, Erik; Gobakken, Terje; Bollandsås, Ole Martin; Breidenbach, Johannes; Zahabu, Eliakimu; Mauya, Ernest William (Journal article; Peer reviewed, 2016)
    • Methods for evaluating the utilities of local and global maps for increasing the precision of estimates of subtropical forest area 

      McRoberts, Ronald E.; Vibrans, Alexander C.; Sannier, Christophe; Næsset, Erik; Hansen, Matthew C.; Walters, Brian F.; Lingner, Débora V. (Journal article; Peer reviewed, 2016)

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