Evaluation of automated pipelines for tree and plot metric estimation from TLS data in tropical forest areas
| Autor: | Pierre Ploton, Pasi Raumonen, Raphaël Pélissier, Olivier Martin-Ducup, Nicolas Barbier, Di Wang, Gislain Ii Mofack, Bonaventure Sonké, Pierre Couteron |
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| Přispěvatelé: | Université de Montpellier, Université de Yaoundé I, Department of Built Environment, Tampere University, Aalto-yliopisto, Aalto University, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Yaoundé [Cameroun], University of Tampere [Finland], European Project: 3DForMod, Computing Sciences |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Quantitative structural model (QSM) 010504 meteorology & atmospheric sciences quantitative structural model (QSM) Plant Science tree crown metrics Biology Forests [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomy 010603 evolutionary biology 01 natural sciences Plot (graphics) AGB estimation [SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems Statistics Forest ecology 0105 earth and related environmental sciences Tropical Climate Volume (computing) Reproducibility of Results Original Articles 15. Life on land [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics 113 Computer and information sciences Pipeline (software) Wood Tree crown metrics Tree (data structure) Tree structure wood volume Metric (mathematics) [SDE.BE]Environmental Sciences/Biodiversity and Ecology Scale (map) Wood volume |
| Zdroj: | Annals of Botany Annals of Botany, Oxford University Press (OUP), 2021, 128 (6), pp.753-766. ⟨10.1093/aob/mcab051⟩ Ann Bot Annals of Botany, 2021, 128 (6), pp.753-766. ⟨10.1093/aob/mcab051⟩ |
| ISSN: | 0305-7364 1095-8290 |
| Popis: | Background and Aims Terrestrial LiDAR scanning (TLS) data are of great interest in forest ecology and management because they provide detailed 3-D information on tree structure. Automated pipelines are increasingly used to process TLS data and extract various tree- and plot-level metrics. With these developments comes the risk of unknown reliability due to an absence of systematic output control. In the present study, we evaluated the estimation errors of various metrics, such as wood volume, at tree and plot levels for four automated pipelines. Methods We used TLS data collected from a 1-ha plot of tropical forest, from which 391 trees >10 cm in diameter were fully processed using human assistance to obtain control data for tree- and plot-level metrics. Key Results Our results showed that fully automated pipelines led to median relative errors in the quantitative structural model (QSM) volume ranging from 39 to 115 % at the tree level and 10 to 134 % at the 1-ha plot level. For tree-level metrics, the median error for the crown-projected area ranged from 46 to 59 % and that for the crown-hull volume varied from 72 to 88 %. This result suggests that the tree isolation step is the weak link in automated pipeline methods. We further analysed how human assistance with automated pipelines can help reduce the error in the final QSM volume. At the tree scale, we found that isolating trees using human assistance reduced the error in wood volume by a factor of 10. At the 1-ha plot scale, locating trees with human assistance reduced the error by a factor of 3. Conclusions Our results suggest that in complex tropical forests, fully automated pipelines may provide relatively unreliable metrics at the tree and plot levels, but limited human assistance inputs can significantly reduce errors. |
| Databáze: | OpenAIRE |
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