2021
DOI: 10.5194/isprs-archives-xliii-b2-2021-171-2021
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A Concept for the Segmentation of Individual Urban Trees From Dense MLS Point Clouds

Abstract: Abstract. In our daily lives, trees can be seen as the tallest and most noticeable representatives of the plant kingdom. Especially in urban areas, the individual tree is of high significance and responsible for a manifold of positive effects on the environment and residents. In the context of urban tree registers and thus monitoring of urban vegetation, we propose a general concept for the segmentation of trees from 3D point clouds. Mobile Laser Scanning (MLS) is introduced as the preferred sensor. Based on a… Show more

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Cited by 2 publications
(1 citation statement)
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“…A correct height estimation could only be achieved if a terrain model was known or could be derived from incomplete data. We described ideas on such an approach in Hirt et al (2021), which might be of use in these cases. Another phenomenon is a large difference in estimated DBH, indicating that the tree would have grown more than 10 cm in diameter over 2 years.…”
Section: Changes On Object Levelmentioning
confidence: 99%
“…A correct height estimation could only be achieved if a terrain model was known or could be derived from incomplete data. We described ideas on such an approach in Hirt et al (2021), which might be of use in these cases. Another phenomenon is a large difference in estimated DBH, indicating that the tree would have grown more than 10 cm in diameter over 2 years.…”
Section: Changes On Object Levelmentioning
confidence: 99%