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HESS | Articles | Volume 23, issue 6
Hydrol. Earth Syst. Sci., 23, 2615–2635, 2019
https://doi.org/10.5194/hess-23-2615-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 23, 2615–2635, 2019
https://doi.org/10.5194/hess-23-2615-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 18 Jun 2019

Research article | 18 Jun 2019

Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics

Brigitta Szabó et al.

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Cited articles

Adhikari, K., Hartemink, A. E., Minasny, B., Bou Kheir, R., Greve, M. B., and Greve, M. H.: Digital mapping of soil organic carbon contents and stocks in Denmark, PLoS One, 9, e105519, https://doi.org/10.1371/journal.pone.0105519, 2014. 
Ahuja, L. R., Naney, J. W., and Williams, R. D.: Estimating soil water characteristics from simpler properties or limited data, Soil Sci. Soc. Am. J., 49, 1100–1105, https://doi.org/10.2136/sssaj1985.03615995004900050005x, 1985. 
Baker, L. and Ellison, D.: Optimisation of pedotransfer functions using an artificial neural network ensemble method, Geoderma, 144, 212–224, https://doi.org/10.1016/j.geoderma.2007.11.016, 2008. 
Bashfield, A. and Keim, A.: Continent-wide DEM Creation for the European Union, in 34th International Symposium on Remote Sensing of Environment – The GEOSS Era: Towards Operational Environmental Monitoring, available at: http://www.isprs.org/proceedings/2011/isrse-34/211104015Final00143.pdf (last access: 27 September 2018), 2011. 
Behrens, T., Schmidt, K., Viscarra Rossel, R. A., Gries, P., Scholten, T., and MacMillan, R. A.: Spatial modelling with Euclidean distance fields and machine learning, Eur. J. Soil Sci., 69, 757–770, https://doi.org/10.1111/ejss.12687, 2018. 
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This paper analyzes differences in the performance of the indirect and direct mapping method to derive 3-D soil hydraulic maps. Maps of saturated water content, field capacity and wilting point are presented for a 5775 km2 catchment at 100 m resolution. Advantages and disadvantages of the two methods are discussed. The absolute difference in soil water retention values is less than 0.025 cm3 cm−3 between maps derived with indirect and direct methods for 65–86 % of the catchment.
This paper analyzes differences in the performance of the indirect and direct mapping method to...
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