Optimizing pedotransfer functions for estimating soil bulk density using boosted regression trees.
By Manuel P. Martin, D. L. Seen, L. Boulonne, Claudy Jolivet, K. M. Nair, G. Bourgeon, Dominique Arrouays. 2009
102 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Environmental Engineering, Soil Science
View Paper: https://www.semanticscholar.org/paper/a85b6ee18bdca4a8abbc80c90f2f604c40309a79
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In Environmental Engineering
In Soil Science
Citations in the corpus
- Estimating forest soil bulk density using boosted regression modelling (2010, methodology): “After fitting Model G3 to the full dataset, only 45% of the variation of bulk density was explained with a RMSPE of 0.21 g ⁄ cm3 compared to 83% with a RMSPE of 0.08 g ⁄ cm3 for the model m in Martin et al. (2009).”
- Mapping organic carbon stocks in eucalyptus plantations of the central highlands of Madagascar: A multiple regression approach (2011, methodology): “BRT was previously used in C stock mapping (Krishnan et al., 2007) and other soil property estimation (Brown et al., 1999; Tittonell et al., 2008; Martin et al., 2009) and soil landscape Please cite this article as: Razakamanarivo, R.H., et al., Mapping organic carbon stocks in eucalyptus…”
- Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale (2014, unknown): “6 bulk density measurements were done, as described previously (Martin et al., 2009).”