Point and parameter pedotransfer functions for water retention predictions for Danish soils
By Christen D. Børgesen, M. G. Schaap. 2005
100 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Environmental Engineering, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/2ff9d7f60b54a089e240bd7aa930a638d74997e5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Yakov A. Pachepsky
- M. G. Schaap
- Budiman Minasny
- Alex B. McBratney
- M. T. V. Genuchten
- Harry Vereecken
- Mathieu Javaux
- M. Weynants
In Environmental Engineering
- Yakov A. Pachepsky
- Budiman Minasny
- Alex B. McBratney
- M. G. Schaap
- M. T. V. Genuchten
- Harry Vereecken
- José Padarian
- Mathieu Javaux
In Water Science and Technology
- Yakov A. Pachepsky
- M. G. Schaap
- Budiman Minasny
- Alex B. McBratney
- José Padarian
- M. T. V. Genuchten
- Wim Cornelis
- Attila Nemes
Citations in the corpus
- Using Pedotransfer Functions to Estimate the van Genuchten–Mualem Soil Hydraulic Properties: A Review (2010, methodology): “Again, the lowest values were obtained for those PTFs that used soil moisture content, such as in the case for the Børgesen and Schaap (2005) and Børgesen et al. (2008) data sets.”
- Machine learning and soil sciences: a review aided by machine learning tools (2019, methodology): “…method can be to report the geographical extent from where the soil samples used during training were collected (e.g. Tomasella et al., 2000; Børgesen and Schaap, 2005) or a broad soil classification based on the soil characteristics such as “sandy soils” (e.g Schaap and Bouten, 1996 and…”