Nondestructive estimates of above‐ground biomass using terrestrial laser scanning

By Kim Calders, G. Newnham, A. Burt, S. Murphy, Pasi Raumonen, Martin Herold, D. Culvenor, V. Avitabile, Mathias I. Disney, John Armston and 1 more. 2015

626 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/192559b8ddabbbcd88d611afd7e40fe54e66fe98

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In Environmental Engineering

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Variability and bias in active and passive ground-based measurements of effective plant, wood and leaf area index (2018, methodology): “LAI is commonly used as a measurement of forest structure and its temporal patterns are used to monitor how biological cycles are connected and correspond to climate change (Polgar and Primack, 2011; White et al., 2009; Bequet et al., 2011; Calders et al., 2015b).”
Non Destructive Method for Biomass Prediction Combining TLS Derived Tree Volume and Wood Density (2015, methodology): “[28] further developed the QSM method to work on plot level.”
SimpleTree —An Efficient Open Source Tool to Build Tree Models from TLS Clouds (2015, methodology): “[9] did propose the taper correction applied to the QSM models to achieve a similar effect.”
Quantifying the impact of woody material on leaf area index estimation from hemispherical photography using 3D canopy simulations (2016, neutral): “New 67 developments with accurate 3D reconstruction of trees gives rise to another potential α 68 estimation method, e.g. (Calders et al., 2015; Côté et al., 2009; Raumonen et al., 2013).”
Leaf and wood classification framework for terrestrial LiDAR point clouds (2019, methodology): “These include the accurate estimation of above- ground biomass (Calders et al., 2015; Gonzalez de Tanago et al., 2018; Momo Takoudjou et al., 2018; Raumonen et al., 2013), 3D vegetation density (Grau, Durrieu, Fournier, Gastellu- Etchegorry, & Yin, 2017), canopy profiles (CuniSanchez et al.”
Closing a gap in tropical forest biomass estimation: taking crown mass variation into account in pantropical allometries (2016, methodology): “…more field data on large trees should therefore constitute a priority if we are to improve multi-specific, broad-scale allometric models, and the recent development of nondestructive AGB estimation methods based on terrestrial lidar data should help in this regard (e.g., Calders et al., 2015).”