Articles | Volume 1, issue 1
https://doi.org/10.5194/soil-1-47-2015
© Author(s) 2015. This work is distributed under the Creative Commons Attribution 3.0 License.
Original research article
| 
06 Jan 2015
Original research article |
| 06 Jan 2015
Quantifying soil and critical zone variability in a forested catchment through digital soil mapping
Related authors
EGUsphere, 2022
Preprint withdrawn
Earth Syst. Sci. Data, 12, 61–76, 2020
Hydrol. Earth Syst. Sci., 20, 1103–1115, 2016
SOIL, 1, 631–639, 2015
Related subject area
Soil systems
Cited articles
Ashtekar, J. M. and Owens, P. R.: Remembering Knowledge: An Expert Knowledge Based Approach to Digital Soil Mapping, Soil Horizons, 54, https://doi.org/10.2136/sh13-01-0007, 2013.
Ballabio, C., Fava, F., and Rosenmund, A.: A plant ecology approach to digital soil mapping, improving the prediction of soil organic carbon content in alpine grasslands, Geoderma, 187, 102–116, https://doi.org/10.1016/j.geoderma.2012.04.002, 2012.
Beaudette, D. E. and O'Geen, A. I.: Quantifying the Aspect Effect: An Application of Solar Radiation Modeling for Soil Survey (vol 73, pg 1345, 2009), Soil Sci. Soc. Am. J., 73, 1755–1755, https://doi.org/10.2136/sssaj2008.0229er, 2009.
Ben-Dor, E.: Quantitative remote sensing of soil properties, Adv. Agronomy, 75, 173–243, https://doi.org/10.1016/S0065-2113(02)75005-0, 2002.
Ben-Dor, E., Patkin, K., Banin, A., and Karnieli, A.: Mapping of several soil properties using DAIS-7915 hyperspectral scanner data – a case study over clayey soils in Israel, Int. J. Remote Sens., 23, 1043–1062, https://doi.org/10.1080/01431160010006962, 2002.
