21 citations as recorded by crossref.

1. On the determination of transportation, range and distribution characteristics of Uranium-238, Thorium-232 and Potassium-40: a critical review F. Külahcı & Ş. Çiçek https://doi.org/10.1007/s12665-019-8736-8
2. Multifractal behaviour of the soil water content of a vineyard in northwest Spain during two growing seasons J. Mirás-Avalos et al. https://doi.org/10.5194/npg-23-205-2016
3. Spatial heterogeneity of loess contour tilled microtopographic slope in rainfall erosion Z. Huihui et al. https://doi.org/10.1080/00380768.2016.1218742
4. A multifractal approach to characterize cumulative rainfall and tillage effects on soil surface micro-topography and to predict depression storage E. Vidal Vázquez et al. https://doi.org/10.5194/bg-7-2989-2010
5. Soil roughness indexes and their relationship with water erosion F. Zangiski et al. https://doi.org/10.1590/s0100-204x2018000600012
6. Multiscaling analysis of soil roughness variability R. Garcia Moreno et al. https://doi.org/10.1016/j.geoderma.2010.04.011
7. Complexity Analysis of Peat Soil Density Distribution J. Sampurno et al. https://doi.org/10.1088/1742-6596/739/1/012071
8. Automated mapping of landforms through the application of supervised classification to lidAR-derived DEMs and the identification of earthquake ruptures Z. Wei et al. https://doi.org/10.1080/01431161.2017.1372861
9. Quantifying the changes of soil surface microroughness due to rainfall impact on a smooth surface B. Abban et al. https://doi.org/10.5194/npg-24-569-2017
10. Description of soil micro‐topography and fractional wetted area under runoff using fractal dimensions M. García‐Serrana et al. https://doi.org/10.1002/esp.4424
11. Effect of potato hilling on soil temperature, soil moisture distribution and sediment yield on a sloping terrain S. Nyawade et al. https://doi.org/10.1016/j.still.2018.06.008
12. Segmentation of soil surface roughness features using a hybrid deep learning and geostatistical framework: a multi-scale approach for precision agriculture applications R. Damle https://doi.org/10.55529/ijaap.51.170.182
13. A new fractal relationship for measuring surface roughness to be used in physical models of radar backscattering M. Maleki https://doi.org/10.61186/jgit.11.4.103
14. Evaluation of surface roughness parameters in agricultural soils with different tillage conditions using a laser profile meter A. Martinez-Agirre et al. https://doi.org/10.1016/j.still.2016.02.013
15. Multifractal analysis of vertical profiles of soil penetration resistance at the field scale G. Siqueira et al. https://doi.org/10.5194/npg-20-529-2013
16. Multifractal Analysis of Soil Surface Roughness R. Moreno et al. https://doi.org/10.2136/vzj2007.0016
17. Discrimination of Geological Top-Formations by their Morphology through SAR Images and via Fractal Geometry implementation in IEM Backscattering Model(Case Study: Zagros Thrust Belt) A. Ghafouri et al. https://doi.org/10.29252/jgit.7.3.137
18. Calculating fractal parameters from low-resolution terrain profiles C. Goodin et al. https://doi.org/10.1016/j.jterra.2017.03.002
19. Applying fractal analysis to detect spatio-temporal variability of soil moisture content on two contrasting land use hillslopes K. Liao et al. https://doi.org/10.1016/j.catena.2017.05.022
20. Estimation of Effective Roughness for Water-Worked Gravel Surfaces J. Qin & S. Ng https://doi.org/10.1061/(ASCE)HY.1943-7900.0000610
21. Evolution of the soil surface roughness using geostatistical analysis E. Vázquez et al. https://doi.org/10.1590/S0006-87052010000500015