Functional evaluation of pedotransfer functions derived from different scales of data collection

By Attila Nemes, M. G. Schaap, J. Wösten. 2003

181 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/68222918d47c2bd16b0fb8602ab57e74a32e8b2d

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In Civil and Structural Engineering

In Environmental Engineering

Citations in the corpus

Prediction of Water Retention of Soils from the Humid Tropics by the Nonparametric k‐Nearest Neighbor Approach (2013, background): “On the contrary, Vereecken et al. (2010) observed that including OM or OC as a predictor in “temperate” PTFs of, e.g., Vereecken et al. (1989), Nemes et al. (2003), and Weynants et al. (2009) led to improved predictions, with the lowest RMSD values in the wet range and the very dry range of the…”
Multi-scale digital terrain analysis and feature selection for digital soil mapping (2010, background): “Concerning the influence of scale on the spatial distribution of soils, most authors focus on soil properties (Burrough, 1983; Goovaerts and Webster, 1994; German, 1999; Lark and Webster, 2001; Nemes et al., 2003; Lark, 2005; Zhu et al., 2004; Bartoli et al., 1991, 2005; Zhao et al., 2006).”
Excluding Organic Matter Content from Pedotransfer Predictors of Soil Water Retention (2007, methodology): “Extensive overviews of the recent development and use of PTFs have been given by Timlin et al. (1996), Wösten et al. (2001), Cornelis et al. (2001), Gijsman et al. (2002), and Nemes et al. (2003).”
A pseudo-continuous neural network approach for developing water retention pedotransfer functions with limited data (2012, background): “There are lots of important characteristics such as clay mineralogy and salinity of soils that largely influence the soil water status, but which are not accounted for as input variables in nearly any PTFs (Nemes et al., 2003).”
Use of the Nonparametric Nearest Neighbor Approach to Estimate Soil Hydraulic Properties (2006, methodology): “…soil water retention estimations has been pointed out by different authors (e.g., Rawls et al., 1991; Schaap and Leij, 1998; Minasny et al., 1999; Nemes et al., 2003), and the effect of using different inputs in PTFs on estimations has been shown by for example, Schaap et al. (2001) and Nemes et…”
Using Pedotransfer Functions to Estimate the van Genuchten–Mualem Soil Hydraulic Properties: A Review (2010, methodology): “Using a detailed neural network analysis of part of the UNSODA database, they found the macropore contribution to the hydraulic conductivity to be most signifi cant between 0 and 4 cm (pF 0.6), although the eff ects of macroporosity were visible until pressure heads of about 40 cm (pF 1.6).”