ArticleAnnals of botany2021
Above-ground biomass references for urban trees from terrestrial laser scanning data.
Article in Annals of botany, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 70 citations in OpenAlex.
- Tree structural modeling from leaf-on point clouds for biomass carbon stock estimation.Scientific reports · 2026Article
- Stand Structure Extraction and Analysis ofPlants (Basel, Switzerland) · 2025Article
- Combined impact of semantic segmentation and quantitative structure modelling of Southern pine trees using terrestrial laser scanning.Scientific reports · 2025Article
- Self-adaptive individual tree modeling based on skeleton graph optimization and fractal self-similarity.Plant phenomics (Washington, D.C.) · 2025Article
- Screening of Ginkgo Individuals with Superior Growth Structural Characteristics in Different Genetic Groups Using Terrestrial Laser Scanning (TLS) Data.Plant phenomics (Washington, D.C.) · 2023Article
- Forest above-ground volume assessments with terrestrial laser scanning: a ground-truth validation experiment in temperate, managed forests.Annals of botany · 2021Article
- Terrestrial laser scanning: a new standard of forest measuring and modelling?Annals of botany · 2021Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
BACKGROUND AND
aimsWithin extending urban areas, trees serve a multitude of functions (e.g. carbon storage, suppression of air pollution, mitigation of the 'heat island' effect, oxygen, shade and recreation). Many of these services are positively correlated with tree size and structure. The quantification of above-ground biomass (AGB) is of especial importance to assess its carbon storage potential. However, quantification of AGB is difficult and the allometries applied are often based on forest trees, which are subject to very different growing conditions, competition and form. In this article we highlight the potential of terrestrial laser scanning (TLS) techniques to extract highly detailed information on urban tree structure and AGB.
methodsFifty-five urban trees distributed over seven cities in Switzerland were measured using TLS and traditional forest inventory techniques before they were felled and weighed. Tree structure, volume and AGB from the TLS point clouds were extracted using quantitative structure modelling. TLS-derived AGB estimates were compared with AGB estimates based on forest tree allometries dependent on diameter at breast height only. The correlations of various tree metrics as AGB predictors were assessed. KEY
resultsEstimates of AGB derived by TLS showed good performance when compared with destructively harvested references, with an R2 of 0.954 (RMSE = 556 kg) compared with 0.837 (RMSE = 1159 kg) for allometrically derived AGB estimates. A correlation analysis showed that different TLS-derived wood volume estimates as well as trunk diameters and tree crown metrics show high correlation in describing total wood AGB, outperforming tree height.
conclusionsWood volume estimates based on TLS show high potential to estimate tree AGB independent of tree species, size and form. This allows us to retrieve highly accurate non-destructive AGB estimates that could be used to establish new allometric equations without the need for extensive destructive harvesting.
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