35 citations as recorded by crossref.

1. The complementary value of cosmic-ray neutron sensing and snow covered area products for snow hydrological modelling P. Schattan et al. 10.1016/j.rse.2019.111603
2. Assimilation of Cosmogenic Neutron Counts for Improved Soil Moisture Prediction in a Distributed Land Surface Model A. Patil et al. 10.3389/frwa.2021.729592
3. Seasonal soil moisture and crop yield prediction with fifth-generation seasonal forecasting system (SEAS5) long-range meteorological forecasts in a land surface modelling approach T. Boas et al. 10.5194/hess-27-3143-2023
4. Focus on the nonlinear infiltration process in deep vadose zone Y. He et al. 10.1016/j.earscirev.2024.104719
5. A profile shape correction to reduce the vertical sensitivity of cosmic‐ray neutron sensing of soil moisture L. Scheiffele et al. 10.1002/vzj2.20083
6. The Importance of Subsurface Processes in Land Surface Modeling over a Temperate Region: An Analysis with SMAP, Cosmic Ray Neutron Sensing and Triple Collocation Analysis H. Zhao et al. 10.3390/rs13163068
7. Mesoscale soil moisture survey by mobile cosmic-ray neutron sensor across various landscapes in the Heihe River Basin S. Wu et al. 10.1016/j.rcar.2024.01.001
8. Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data L. Strebel et al. 10.5194/hess-28-1001-2024
9. High-resolution drought simulations and comparison to soil moisture observations in Germany F. Boeing et al. 10.5194/hess-26-5137-2022
10. Feasibility of irrigation monitoring with cosmic-ray neutron sensors C. Brogi et al. 10.5194/gi-11-451-2022
11. On the Information Content of Cosmic‐Ray Neutron Data in the Inverse Estimation of Soil Hydraulic Properties G. Brunetti et al. 10.2136/vzj2018.06.0123
12. Mesoscale unfrozen water content measurements in frozen oasis soils using combined cosmic-ray neutron sensing and time domain reflectometry networks Y. Zhang et al. 10.1016/j.agwat.2025.109600
13. Data-driven scaling methods for soil moisture cosmic ray neutron sensors R. Baatz et al. 10.5194/hess-29-2583-2025
14. Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data E. Pinnington et al. 10.5194/hess-25-1617-2021
15. Multiscale soil moisture estimates using static and roving cosmic-ray soil moisture sensors D. McJannet et al. 10.5194/hess-21-6049-2017
16. Uncertainty, sensitivity and improvements in soil moisture estimation with cosmic-ray neutron sensing G. Baroni et al. 10.1016/j.jhydrol.2018.07.053
17. Accuracy and precision of the cosmic‐ray neutron sensor for soil moisture estimation at humid environments J. Iwema et al. 10.1002/hyp.14419
18. Status and Perspectives on the Cosmic‐Ray Neutron Method for Soil Moisture Estimation and Other Environmental Science Applications M. Andreasen et al. 10.2136/vzj2017.04.0086
19. Practical Data Products From Cosmic-Ray Neutron Sensing for Hydrological Applications T. Franz et al. 10.3389/frwa.2020.00009
20. Intercomparison of cosmic-ray neutron sensors and water balance monitoring in an urban environment M. Schrön et al. 10.5194/gi-7-83-2018
21. Dynamic groundwater recharge simulations based on cosmic‐ray neutron sensing in a tropical wet experimental basin L. Barbosa et al. 10.1002/vzj2.20145
22. Can a Sparse Network of Cosmic Ray Neutron Sensors Improve Soil Moisture and Evapotranspiration Estimation at the Larger Catchment Scale? F. Li et al. 10.1029/2023WR035056
23. Water table depth assimilation in integrated terrestrial system models at the larger catchment scale F. Li et al. 10.3389/frwa.2023.1150999
24. HESS Opinions: Towards a common vision for the future of hydrological observatories P. Nasta et al. 10.5194/hess-29-465-2025
25. Extension of cosmic-ray neutron probe measurement depth for improving field scale root-zone soil moisture estimation by coupling with representative in-situ sensors H. Nguyen et al. 10.1016/j.jhydrol.2019.02.018
26. Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors C. Brogi et al. 10.3390/s23052378
27. Employing NDVI as vegetation correction variable to improve soil moisture measurements of mobile cosmic-ray neutron sensor near the Qilian Mountains S. Wu et al. 10.1016/j.geoderma.2023.116764
28. Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model E. Fatima et al. 10.5194/hess-28-5419-2024
29. Opportunities and challenges in using catchment-scale storage estimates from cosmic ray neutron sensors for rainfall-runoff modelling K. Dimitrova-Petrova et al. 10.1016/j.jhydrol.2020.124878
30. Combining static and portable Cosmic ray neutron sensor data to assess catchment scale heterogeneity in soil water storage and their integrated role in catchment runoff response K. Dimitrova-Petrova et al. 10.1016/j.jhydrol.2021.126659
31. Vom Punkt zur Fläche in der Messung des Wasseräquivalents der Schneedecke – Mehrwert von Cosmic-Ray Neutron Sensoren in der regionalen Schneemodellierung P. Schattan et al. 10.1007/s00506-018-0500-x
32. Cosmic Ray Neutron Sensing for Simultaneous Soil Water Content and Biomass Quantification in Drought Conditions J. Jakobi et al. 10.1029/2018WR022692
33. Optimal Temporal Filtering of the Cosmic-Ray Neutron Signal to Reduce Soil Moisture Uncertainty P. Davies et al. 10.3390/s22239143
34. Non-Linear Models for Assessing Soil Moisture Estimation R. Li et al. 10.3390/horticulturae11050492
35. Continuous monitoring of snowpack dynamics in alpine terrain by aboveground neutron sensing P. Schattan et al. 10.1002/2016WR020234