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Above-ground biomass references for urban trees from terrestrial laser scanning data
Authors:Daniel Kü  kenbrink,Oliver Gardi,Felix Morsdorf,Esther Thü  rig,Andreas Schellenberger,Lukas Mathys
Affiliation:1. Swiss Federal Institute WSL, Zürichstrasse 111, CH-8903 Birmensdorf, Switzerland;2. Remote Sensing Laboratories, University of Zurich, Winterthurerstrasse 190, CH-8045 Zurich, Switzerland;3. School of Agricultural, Forest and Food Sciences HAFL, Länggasse 85, CH-3052 Zollikofen, Switzerland;4. Federal Office for the Environment FOEN, CH-3003 Bern, Switzerland;5. Nategra LLC, Nydeggstalden 30, CH-3011 Bern, Switzerland
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.
Keywords:TLS   non-forest trees   urban trees   AGB   wood volume   biomass   allometry   tree structure   QSM   point cloud
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