Manual for building tree volume and biomass allometric equations: from field measurement to prediction
By Nicolas Picard, L. Saint-André, M. Henry. 2012
307 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/538b80f903a3cbf3ec112d923eca6a2ce624bf87
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Karin Kralicek
- Bao Huy
- Ole Martin Bollandsås
- Jan Hackenberg
- Krishna P. Poudel
- A. Bienert
- Hailemariam Temesgen
- Louis Georgi
Citations in the corpus
- Comparison and Combination of Mobile and Terrestrial Laser Scanning for Natural Forest Inventories (2018, methodology): “In contrast to common allometric equations [59], which mainly use height and DBH, QSMs can deliver a much more accurate estimate of wood volume.”
- Allometric equations for estimating tree aboveground biomass in evergreen broadleaf forests of Viet Nam (2016, methodology): “The models were fit based on the maximum likelihood procedure in R statistical software using the nlme package (Picard et al., 2012; Pinheiro et al., 2014) and model diagnostics were conducted using the ggplot2 package (Wickham and Chang, 2013).”
- Models for estimation of tree volume in the miombo woodlands of Tanzania (2014, methodology): “The iteration started with an initial value of that was obtained using the method described by Picard et al. (2012).”
- Non Destructive Method for Biomass Prediction Combining TLS Derived Tree Volume and Wood Density (2015, methodology): “Additionally, power functions, known as allometric models, use these parameters as predictor variables to estimate the biomass of trees [2].”