From comprehensive field inventories to remotely sensed wall-to-wall stand attribute data - a brief history of management inventories in the Nordic countries

Forest management inventories (FMIs) provide critical information, usually at the stand level, for forest management planning. A typical FMI includes (1) the delineation of the inventory area to stands by applying auxiliary information; (ii) the classification of the stands according to categorical attributes such as age, site fertility, main tree species, and stand development; and (iii) measurement, modelling, and prediction of stand attributes of interest. The emergence of wall-to-wall remote-sensing data has enabled a paradigm change in FMIs from highly subjective, visual assessments to objective, model-based inferences. Previously, optical remote-sensing data were used to complement visual assessments, especially in stand delineation and height measurements. The evolution of airborne laser scanning (ALS) has made objective estimation of forest characteristics with known accuracy possible. New optical and Lidar-based sensors and platforms will allow further improvements of accuracy. However, there are still bottlenecks related to species-specific stand attribute information in mixed stands and assessments of tree quality. Here, we concentrate on approaches and methods that have been applied in the Nordic countries in particular.

Automated summary

Forest management inventories provide critical information for forest management planning at the stand level. The use of wall-to-wall remote-sensing data has enabled a paradigm shift from subjective visual assessments to model-based inferences. While advances in optical and Lidar-based sensors have improved accuracy in forest attribute estimation, challenges remain in obtaining species-specific stand attribute information and assessing tree quality in mixed stands.