Tree species identification and subsequent health determination from mobile LiDAR data

This paper discusses an approach developed for tree species identification and subsequent health determination. Using LiDAR data´s ability to provide complementary data to traditional optical imagery analysis methods, this paper introduces methods used to identify Ash trees within an urban landscape and classify their health. Using the ability of LiDAR to provide 3D information, tree types will first be distinguished, afterwards tree branching behavior will be used to classify the tree species. After identifying the tree species, the health will be determined.