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.
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.
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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.
Our new study is out on the use of time series of airborne laser scanner (ALS) data for monitoring the alpine treeline. The paper can be accessed here:
The paper demonstrates a method for monitoring tree occupancy, i.e., the proportion of a sampled area in which trees are present, and tree height in the alpine treeline ecotone. We used field data and ALS data from three points in time (2008, 2012 and 2018) collected along a ~1100 km transect in the Scandinavian Mountain Range.
We found that time series of ALS data are highly useful for detecting and monitoring small pioneer trees. We found no significant changes in either tree occupancy nor tree height in the observed period. The proposed method can be used to monitor alpine treeline ecotones and to provide the uncertainty of the estimates which can inform whether observed changes are in fact significant.
- (Norsk) Takst- og planseminar 2023
- End seminar – ForestPotential
- (Norsk) Resultater fra analyser av takstproduktet SR16
- Fine-spatial radiation measurements for heterogeneous boreal–alpine and sub-alpine vegetation
- The role of biotic and abiotic factors on treeline ecotone dynamics: studies using field observations and remote sensing
- Application of external prediction models in forest management inventories based on airborne laser scanning
- Estimating Timber Volume using Harvester Data and Airborne Laser Scanner Data from Multiple Acquisitions
- Remote sensing-based mapping and monitoring of the forest ecosystem
- Fieldwork 2020