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Investigating temporal field sampling strategies for site-specific calibration of three soil moisture -- neutron intensity parameterisation methods.
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- Hydrology & Earth System Sciences Discussions, 2015, v. 12, n. 2, p. 2349, doi. 10.5194/hessd-12-2349-2015
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- Article
Predicting subgrid variability of soil water content from basic soil information.
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- Geophysical Research Letters, 2015, v. 42, n. 3, p. 789, doi. 10.1002/2014GL062496
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- Article
Cosmic Ray Neutron Sensing for Simultaneous Soil Water Content and Biomass Quantification in Drought Conditions.
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- Water Resources Research, 2018, v. 54, n. 10, p. 7383, doi. 10.1029/2018WR022692
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- Article
Soil hydrology: Recent methodological advances, challenges, and perspectives.
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- Water Resources Research, 2015, v. 51, n. 4, p. 2616, doi. 10.1002/2014WR016852
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- Article
An empirical vegetation correction for soil water content quantification using cosmic ray probes.
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- Water Resources Research, 2015, v. 51, n. 4, p. 2030, doi. 10.1002/2014WR016443
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- Article
Accuracy of the cosmic-ray soil water content probe in humid forest ecosystems: The worst case scenario.
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- Water Resources Research, 2013, v. 49, n. 9, p. 5778, doi. 10.1002/wrcr.20463
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- Article
Seasonal and event dynamics of spatial soil moisture patterns at the small catchment scale.
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- Water Resources Research, 2012, v. 48, n. 10, p. 1, doi. 10.1029/2011WR011518
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- Article
Investigating temporal field sampling strategies for site-specific calibration of three soil moisture-neutron intensity parameterisation methods.
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- Hydrology & Earth System Sciences, 2015, v. 19, n. 7, p. 3203, doi. 10.5194/hess-19-3203-2015
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- Article
The Footprint Characteristics of Cosmic Ray Thermal Neutrons.
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- Geophysical Research Letters, 2021, v. 48, n. 15, p. 1, doi. 10.1029/2021GL094281
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- Article
A Three-Dimensional View on Soil Biogeochemistry: A Dataset for a Forested Headwater Catchment.
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- Journal of Environmental Quality, 2017, v. 46, n. 1, p. 210, doi. 10.2134/jeq2016.07.0276
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- Article
Effects of Soil Hydraulic Properties on the Spatial Variability of Soil Water Content: Evidence from Sensor Network Data and Inverse Modeling.
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- Vadose Zone Journal, 2014, v. 13, n. 12, p. 1, doi. 10.2136/vzj2014.07.0099
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- Article
Calibration of a Novel Low-Cost Soil Water Content Sensor Based on a Ring Oscillator.
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- Vadose Zone Journal, 2013, v. 12, p. 1, doi. 10.2136/vzj2012.0139
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- Article
Correction of Temperature and Electrical Conductivity Effects on Dielectric Permittivity Measurements with ECH2O Sensors.
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- Vadose Zone Journal, 2011, v. 10, n. 2, p. 582, doi. 10.2136/vzj2010.0083
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- Article
Potential of Wireless Sensor Networks for Measuring Soil Water Content Variability.
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- Vadose Zone Journal, 2010, v. 9, n. 4, p. 1002, doi. 10.2136/vzj2009.0173
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- Article
Sensor-to-Sensor Variability of the ECH<sub>2</sub>O EC-5, TE, and 5TE Sensors in Dielectric Liquids.
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- Vadose Zone Journal, 2010, p. 12, doi. 10.2136/vzj2009.0036
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- Article
Hybrid Wireless Underground Sensor Networks: Quantification of Signal Attenuation in Soil.
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- Vadose Zone Journal, 2009, p. 16, doi. 10.2136/vzj2008.0138
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- Article
Potential of Thermal Neutrons to Correct Cosmic‐Ray Neutron Soil Moisture Content Measurements for Dynamic Biomass Effects.
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- Water Resources Research, 2022, v. 58, n. 8, p. 1, doi. 10.1029/2022WR031972
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Comment on Dong and Ochsner (2018): "Soil Texture Often Exerts Stronger Influence Than Precipitation on Mesoscale Soil Moisture Patterns".
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- Water Resources Research, 2021, v. 57, n. 1, p. 1, doi. 10.1029/2020WR027790
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- Article
Atmospheric deposition and precipitation are important predictors of inorganic nitrogen export to streams from forest and grassland watersheds: a large-scale data synthesis.
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- Biogeochemistry, 2022, v. 160, n. 2, p. 219, doi. 10.1007/s10533-022-00951-7
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- Article