2022
DOI: 10.1016/j.rse.2022.113180
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Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning

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Cited by 70 publications
(43 citation statements)
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“…The point cloud was then downsampled using a voxel size of 0.026 m and 0.02 m for Wytham and Sepilok respectively. At Wytham, scans were done within a larger 6 ha area to ensure the best possible data quality within our 1 ha study area (Calders et al 2022). TLS data were collected throughout December 2015 and January 2016 (in leaf-off conditions) on a 20 m x 20 m grid (46).…”
Section: Als Datamentioning
confidence: 99%
See 1 more Smart Citation
“…The point cloud was then downsampled using a voxel size of 0.026 m and 0.02 m for Wytham and Sepilok respectively. At Wytham, scans were done within a larger 6 ha area to ensure the best possible data quality within our 1 ha study area (Calders et al 2022). TLS data were collected throughout December 2015 and January 2016 (in leaf-off conditions) on a 20 m x 20 m grid (46).…”
Section: Als Datamentioning
confidence: 99%
“…Understory trees are not visible in most remote sensing data, so can only be segmented using LiDAR data, which we show is currently inaccurate. This challenge may be addressed using extremely high pulse density LiDAR data collected using unoccupied Areial Vehicles (UAVs) (62). The processing power required to apply existing ALS segmentation algorithms to these massive data sets may be prohibitive, so we expect efficient algorithms to be adapted for this specific purpose.…”
Section: What Next For Tree Segmentation Algorithms?mentioning
confidence: 99%
“…TLS is an active remote sensing technology that generates a detailed 3D point cloud of the surrounding area with centimetre to millimetre accuracy (Newnham et al 2015, Calders et al in Duncanson et al 2021). A TLS-based approach has been used to estimate AGB across a range of forest types (Demol et al, 2022a), for example; tropical forests (Momo Takoudjou et al, 2018, Gonzalez de Tanago et al, 2018, Beyene et al, 2020, Burt et al, 2021, Levick et al, 2021, Brede et al, 2022), temperate forests (Calders et al, 2015, Stovall et al, 2017, Disney et al, 2020, Calders et al), mangroves (Feliciano et al, 2014) and trees outside forests (Wilkes et al, 2018, Kükenbrink et al, 2021, Van Den Berge et al, 2021). Over the past decade, area scanned has increased from a few trees to systematic acquisition across multiple hectares that replicates forest inventory protocols (Wilkes et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…If P is of sufficient density and quality then S can be accurately segmented and an unbiased assessment of plot-level AGB, with associated uncertainties, can be produced (Calders et al, 2015, Momo Takoudjou et al, 2018, Burt et al, 2021). Currently, the most accurate method of S ⊂ P is to manually segment individual trees from their neighbours and other vegetation using interactive point cloud editing software (Momo Takoudjou et al, 2018, Gonzalez de Tanago et al, 2018, Disney et al, 2020, Brede et al, 2022). Manually segmenting trees increases tree- and plot-level estimation accuracy by a factor of 10 and 3 respectively, compared to existing automated TLS pipelines (Martin-Ducup et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…The rapid development of next-generation oblique photogrammetry technology makes it possible to rapidly extract 3D information from the surface and construct high-precision digital surface models (DSM). In particular, the technological breakthroughs in UAV and stereo image pairs have provided technical support for carrying out 3D landscape ecology work (Kang et terrestrial laser scanning (TLS) for assessing above-ground biomass, providing a new technical route for the topic of 3D green volume (Brede et al, 2022). However, most of the existing 3D landscape indices are based on theory, so the operability is low, and they lack a complete process from the acquisition of raw data to the construction of indices to the assessment and evaluation; meanwhile, the studied ones are primarily focused on urban areas, and less attention is paid to critical ecological regions such as islands and coastal zones.…”
Section: Introductionmentioning
confidence: 99%