Articles | Volume 1, issue 1
https://doi.org/10.5194/soil-1-399-2015
https://doi.org/10.5194/soil-1-399-2015
Original research article
 | 
24 Apr 2015
Original research article |  | 24 Apr 2015

Soil surface roughness: comparing old and new measuring methods and application in a soil erosion model

L. M. Thomsen, J. E. M. Baartman, R. J. Barneveld, T. Starkloff, and J. Stolte

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Cited articles

Aguilar, M. A., Aguilar, F. J., and Negreiros, J.: Off-the-shelf laser scanning and close-range digital photogrammetry for measuring agricultural soils microrelief, Biosyst. Eng., 103, 504–517, 2009.
Allmaras, R. R., Burwell, R. E., Larson, W. E. and Holt, R. F.: Total porosity and random roughness of the interrow zone as influenced by tillage, available at: http://www.ars.usda.gov/sp2UserFiles/Place/36221500/cswq-t1914-allmaras.pdf, (last access: 9 November 2014), 1966.
Amoah, J. K. O., Amatya, D. M., and Nnaji, S.: Quantifying watershed surface depression storage: determination and application in a hydrologic model, Hydrol. Process., 27, 2401–2413, https://doi.org/10.1002/hyp.9364, 2013.
ASUS: Xtion Pro, available at: http://www.asus.com/Multimedia/Xtion_PRO/ (last access: 1 October 2014), 2013.
Barneveld, R. J., Seeger, M., and Maalen-Johansen, I.: Assessment of terrestrial laser scanning technology for obtaining high-resolution DEMs of soils, Earth Surf. Process. Landf., 38, 90–94, https://doi.org/10.1002/esp.3344, 2013.