Laser scans recognise tree species automatically

A joint research project by Tampere University of Technology’s mathematics laboratory and the Natural Resources Institute in Finland (Luke) has developed a new method of recognising tree species based on laser scanning measurements.

The method enables the calculation of classification features in a completely new way. Researchers from TUT and Luke received promising results when testing a fully automatic method of recognising tree species.

In the future, this method can be applied to automate timber measurements during felling, selection of trees to be felled and optimisation of cutting.

“This method also allows for efficient measuring of the extensive materials needed in forest ecology research concerning tree species and the competitive relationships between their crowns,” says principal scientist, Ms. RaisaMakipaa from Luke.

For recognising the species, the researchers defined 15 classification features, the values of which were then calculated for each tree. Some of these features are completely new and some have been used in previous studies.

The new aspect is that now their value can be calculated more accurately, as they can now utilise information about the tree’s entire crown. Furthermore, the magnitude of the testing data far exceeds any previous study. For more information check



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