Forest Remote Sensing
In the Forest remote sensing field, we work with all sensors and sensor platforms that are of relevance to forestry and assessment of vegetation. Common sensors are digital cameras, laser scanners and imaging radar. Platforms include aircraft and satellites, but also photos from drones or from sensors that view the forest from the ground that might be stationary, or manually carried or carried by vehicles.
Forest Inventory and Sampling
This subject area includes field-based forest and landscape inventory, as well as development of cost-effective inventory systems that use several different data sources.
Forest planning deals with decision making concerning the future development of the forest. When, where and how will silviculture and harvesting be applied on a forest holding or in a landscape in order to achieve the objectives of the forest management?
Mathematical Statistics Applied to Forest Sciences
This subject area is concerned with research on mathematical and statistical methods for effectively describing and modelling characteristics and traits related to organisms and life processes that are part of forest ecosystems and forest landscapes.
The subject area includes descriptions and analyses of the current state as well as change processes occurring at both the local and landscape level, within the ecosystem and communities where sustainability is of issue.