%0 Research article
%T Co-registration of single tree maps and data captured by a moving sensor using stem diameter weighted linking
%A Olofsson, Kenneth
%A Holmgren, Johan
%D 2022
%J Silva Fennica
%V 56
%N 3
%R doi:10.14214/sf.10712
%U https://silvafennica.fi/article/10712
%X <p>A new method for the co-registration of single tree data in forest stands and forest plots applicable to static as well as dynamic data capture is presented. This method consists of a stem diameter weighted linking algorithm that improves the linking accuracy when operating on diverse diameter stands with stem position errors in the single tree detectors. A co-registration quality metric threshold, <em>Q<sub>T</sub></em>, is also introduced which makes it possible to discriminate between correct and incorrect stem map co-registrations with high probability (&gt;99%). These two features are combined to a simultaneous location and mapping-based co-registration method that operates with high linking accuracy and that can handle sensors with drifting errors and signal bias. A test with simulated data shows that the method has an 89.35% detection rate. The statistics of different settings in a simulation study are presented, where the effect of stem density and position errors were investigated. A test case with real sensor data from a forest stand shows that the average nearest neighbor distances decreased from 1.90 m to 0.51 m, which indicates the feasibility of this method.</p>