20 citations as recorded by crossref.

1. Characterization of annual soil moisture response pattern on a hillslope in Bongsunsa Watershed, South Korea S. Kim https://doi.org/10.1016/j.jhydrol.2012.04.030
2. Application of statistical and machine learning techniques for landslide susceptibility mapping in the Himalayan road corridors Y. Sarfraz et al. https://doi.org/10.1515/geo-2022-0424
3. Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA N. Regmi et al. https://doi.org/10.1016/j.geomorph.2009.10.002
4. Spatial correlograms of soil cover as an indicator of landscape heterogeneity E. Uuemaa et al. https://doi.org/10.1016/j.ecolind.2006.12.002
5. Integrating Topography and Soil Properties for Spatial Soil Moisture Storage Modeling X. Xiang et al. https://doi.org/10.3390/w9090647
6. Investigating hydrologic connectivity and its association with threshold change in runoff response in a temperate forested watershed A. James & N. Roulet https://doi.org/10.1002/hyp.6554
7. Hyper-resolution global hydrological modelling: what is next? M. Bierkens et al. https://doi.org/10.1002/hyp.10391
8. Assessing soil water content spatio-temporal variability at the hillslope scale in a headwater catchment using a multi variable interpolation model based on EMI surveys (Draix, South Alps, France) F. Mallet et al. https://doi.org/10.1007/s12665-018-7687-9
9. Assessing soil water content variation in a small mountainous catchment over different time scales and land covers using geographical variables F. Mallet et al. https://doi.org/10.1016/j.jhydrol.2020.125593
10. Mapping Field Surface Soil Moisture for Hydrological Modeling M. Tombul https://doi.org/10.1007/s11269-006-9134-z
11. Shallow soil moisture – ground thaw interactions and controls – Part 1: Spatiotemporal patterns and correlations over a subarctic landscape X. Guan et al. https://doi.org/10.5194/hess-14-1375-2010
12. Defining optimal DEM resolutions and point densities for modelling hydrologically sensitive areas in agricultural catchments dominated by microtopography I. Thomas et al. https://doi.org/10.1016/j.jag.2016.08.012
13. Dealing with microtopography of an ombrotrophic bog for simulating ecosystem-level CO2 exchanges J. Wu et al. https://doi.org/10.1016/j.ecolmodel.2010.07.015
14. Including the lateral redistribution of soil moisture in a supra regional water balance model to better identify suitable areas for tree species I. Ondo et al. https://doi.org/10.1016/j.catena.2017.01.032
15. Current awareness https://doi.org/10.1002/hyp.5997
16. The role of mineral soil topography on the spatial distribution of organic layer thickness in a paludified boreal landscape A. Laamrani et al. https://doi.org/10.1016/j.geoderma.2014.01.003
17. Ranking Importance of Topographical Surface and Subsurface Parameters on Paludification in Northern Boreal Forests Using Very High Resolution Remotely Sensed Datasets A. Laamrani & O. Valeria https://doi.org/10.3390/su12020577
18. Landslide susceptibility analysis with logistic regression model based on FCM sampling strategy L. Wang et al. https://doi.org/10.1016/j.cageo.2013.04.006
19. Revisiting the tension water storage capacity distribution in conceptual rainfall-runoff modeling: A large-sample approach Y. Zhou et al. https://doi.org/10.1016/j.jhydrol.2024.131834
20. Assessing susceptibility to landslides: Using models to understand observed changes in slopes N. Regmi et al. https://doi.org/10.1016/j.geomorph.2010.05.009