The Forest Inventory and Monitoring Research Group (SkogRover) at Faculty of Environmental Sciences and Natural Resource Management (MINA), Norwegian University of Life Sciences (NMBU), develops methods to increase our knowledge of forests and forest-related resources.
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Detection of Root, Butt, and Stem Rot in Picea Abies with Remotely sensed Data
Benjamin Allen successfully defended his doctoral thesis, “Detection of Root, Butt, and Stem Rot in Picea Abies with Remotely sensed Data”, on 14 March 2023. The topic for the trial lecture was “Challenges in area-wide biodiversity inventories in Scandinavian boreal … Continue reading
Risk and uncertainties incorporated in the management of root and butt rot infected forest areas
Ana Claudia Ferreira Aza successfully defended his doctoral thesis, “Risk and uncertainties incorporated in the management of root and butt rot infected forest areas”, on 16 December 2022.
(Norsk) Ny feltkampanje for overvåking av den alpine tregrensen i Norge gjennomført sommeren 2022
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Modelling and estimating tree and forest resources of the Dry Afromontane forests in South-central Ethiopia using field and remotely sensed data
Zerihun Asrat Kutie successfully defended his doctoral thesis, “Modelling and estimating tree and forest resources of the Dry Afromontane forests in South-central Ethiopia using field and remotely sensed data”, on 30 October 2020.
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Presentasjoner fra Takst- og planseminar 2023
Sorry, this entry is only available in Norwegian Bokmål.
- Monitoring tree occupancy and height in the Norwegian alpine treeline using a time series of airborne laser scanner data Leave a reply
- (Norsk) Takst- og planseminar 2023 Leave a reply
- End seminar – ForestPotential Leave a reply
- (Norsk) Resultater fra analyser av takstproduktet SR16 Leave a reply
- Fine-spatial radiation measurements for heterogeneous boreal–alpine and sub-alpine vegetation Leave a reply
- The role of biotic and abiotic factors on treeline ecotone dynamics: studies using field observations and remote sensing Leave a reply
- Application of external prediction models in forest management inventories based on airborne laser scanning Leave a reply
- Estimating Timber Volume using Harvester Data and Airborne Laser Scanner Data from Multiple Acquisitions Leave a reply
- Remote sensing-based mapping and monitoring of the forest ecosystem Leave a reply