The purpose of this project to develop methodologies to provide useful and meaningful treatment proposals for seedling stand for forest management planning purposes. The project has four different components: (1) biometric modelling for predicting need of shrub and low disturbing vegetation, (2) alternative high resolution remote sensing methodologies, (3) optical satellite based prediction, and (4) calibration approach for large area operations.
The potential for combined use of airborne discrete-return LiDAR, different mobile devices and digital imageries in the classification and measurement of common seedling stand vegetation will be examined in southern Finland. The spatial pattern and amount of the competing vegetation will be estimated with alternative methodologies, which could be useful in deriving meaningful treatment proposals. Reliability tests are done with large area covering operational data sets in Southern Finland.