The forest inventory and monitoring research group (SkogRover) at the Department of Ecology and Natural resource management (INA) at Norwegian University of Life Sciences (NMBU) develop methods to increase our knowledge of forests and forest related resources.
In a project founded by the Norwegian Environment Agency we have exemplified how remote sensing can be used in the management of non-native species.
Kaja Kandare successfully defended her doctoral thesis, “Fusion of airborne laser scanning and hyperspectral data for predicting forest characteristics at different spatial scales”, on 25 August 2017. Continue reading
- Use of photogrammetric 3D data for forest inventory
- Forest resource mapping using 3D remote sensing: Combining national forest inventory data and digital aerial photogrammetry
- Biomass estimation models and methods for miombo woodlands of Malawi using field and remotely sensed data
- Forest planing seminar 2016
- Can we discriminating between Native Norway Spruce and Invasive Sitka Spruce?
- Use of remote sensing for mapping of non-native conifer species
- Accuracy of forest stand estimates
- Developing methods for biomass and carbon assessment for miombo woodlands, pine plantations and agroforestry fields in Malawi
- Use of 3D-data from image matching in forest standwise inventories