13 citations as recorded by crossref.

1. Extending the soil moisture data record of the U.S. Climate Reference Network (USCRN) and Soil Climate Analysis Network (SCAN) E. Coopersmith et al. 10.1016/j.advwatres.2015.02.006
2. Using machine learning to produce near surface soil moisture estimates from deeper in situ records at U.S. Climate Reference Network (USCRN) locations: Analysis and applications to AMSR-E satellite validation E. Coopersmith et al. 10.1016/j.advwatres.2016.10.007
3. Estimating Evapotranspiration in a Post-Fire Environment Using Remote Sensing and Machine Learning P. Poon & A. Kinoshita 10.3390/rs10111728
4. Combined analysis of soil moisture measurements from roving and fixed cosmic ray neutron probes for multiscale real‐time monitoring T. Franz et al. 10.1002/2015GL063963
5. Estimating daily root-zone soil moisture in snow-dominated regions using an empirical soil moisture diagnostic equation F. Pan & M. Nieswiadomy 10.1016/j.jhydrol.2016.09.063
6. Comparison of In Situ Soil Moisture Measurements: An Examination of the Neutron and Dielectric Measurements within the Illinois Climate Network E. Coopersmith et al. 10.1175/JTECH-D-16-0029.1
7. Comparison of First-Order and Second-Order Derived Moment Approaches in Estimating Annual Runoff Distribution Y. Kuang et al. 10.1061/(ASCE)HE.1943-5584.0001683
8. Multi‐Profile Analysis of Soil Moisture within the US Climate Reference Network E. Coopersmith et al. 10.2136/vzj2015.01.0016
9. Comparing AMSR-E soil moisture estimates to the extended record of the U.S. Climate Reference Network (USCRN) E. Coopersmith et al. 10.1016/j.advwatres.2015.09.003
10. A hydrometeorological approach for probabilistic simulation of monthly soil moisture under bare and crop land conditions S. Das & R. Maity 10.1002/2014WR016043
11. Relating coccidioidomycosis (valley fever) incidence to soil moisture conditions E. Coopersmith et al. 10.1002/2016GH000033
12. Estimation of the annual runoff distribution from moments of climatic variables K. Yu et al. 10.1016/j.jhydrol.2015.11.012
13. Machine learning assessments of soil drying for agricultural planning E. Coopersmith et al. 10.1016/j.compag.2014.04.004