Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2577-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-2577-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Soil moisture sensor network design for hydrological applications
Key Laboratory of VGE of Ministry of Education, Nanjing Normal
University, Nanjing, China
Department of Civil and Structural Engineering, University of
Sheffield, Sheffield, UK
Qiang Dai
CORRESPONDING AUTHOR
Key Laboratory of VGE of Ministry of Education, Nanjing Normal
University, Nanjing, China
Jiangsu Center for Collaborative Innovation in Geographical
Information Resource Development and Application, Nanjing, China
Binru Zhao
Key Laboratory of VGE of Ministry of Education, Nanjing Normal
University, Nanjing, China
Dawei Han
WEMRC, Department of Civil Engineering, University of Bristol,
Bristol, UK
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Cited
15 citations as recorded by crossref.
- Integrating Sentinel-1 SAR and Machine Learning Models for Optimal Soil Moisture Sensor Placement at Catchment Scale Y. Xie et al. https://doi.org/10.3390/rs17132330
- Identifying determinants of spatio-temporal disparities in soil moisture of the Northern Hemisphere using a geographically optimal zones-based heterogeneity model P. Luo et al. https://doi.org/10.1016/j.isprsjprs.2022.01.009
- How much hydrology is embedded in low-cost sensors? Machine-learning emulation of the mesoscale hydrological model from citizen soil moisture observations A. Elsaidy et al. https://doi.org/10.1016/j.hydroa.2026.100225
- Identifying soil water movement and water sources of subsurface flow at a hillslope using stable isotope technique R. Zhou et al. https://doi.org/10.1016/j.agee.2022.108286
- Radar Remote Sensing Retrieval of Vertical Profile of Rainfall Kinetic Energy in the U.K J. Zhu et al. https://doi.org/10.1109/TGRS.2025.3542493
- A Spatial Approach for Vadose Zone Monitoring During a Zonal Artificial Infiltration Experiment Using Custom Flexible and Rigid Time Domain Reflectometry Sensors A. Papadopoulos et al. https://doi.org/10.3390/hydrology13030078
- Space–Air–Ground Synergistic Approaches for Field Water Status Precision Monitoring: A Review T. Li et al. https://doi.org/10.3390/rs18101542
- Soil moisture information in Southeast Australia – A review of long-term field measurements toward enhanced monitoring and predictive applications I. Senanayake et al. https://doi.org/10.1016/j.geodrs.2026.e01132
- Improved Soil Moisture and Electrical Conductivity Prediction of Citrus Orchards Based on IoT Using Deep Bidirectional LSTM P. Gao et al. https://doi.org/10.3390/agriculture11070635
- Pattern Recognition in Agricultural Soils Using Principal Component Analysis and Interdigitated Microwave Sensors C. Santillan-Rodríguez et al. https://doi.org/10.3390/agriengineering7060186
- A dual-threshold framework for antecedent wetness controls on hydrological connectivity and nitrate source dynamics in a subtropical agricultural watershed J. Zhou et al. https://doi.org/10.1016/j.jhydrol.2026.136396
- AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things K. Awan et al. https://doi.org/10.3390/s20216174
- 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
- Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model E. Fatima et al. https://doi.org/10.5194/hess-28-5419-2024
- An assessment of statistical interpolation methods suited for gridded rainfall datasets Y. Liu et al. https://doi.org/10.1002/joc.7389
15 citations as recorded by crossref.
- Integrating Sentinel-1 SAR and Machine Learning Models for Optimal Soil Moisture Sensor Placement at Catchment Scale Y. Xie et al. https://doi.org/10.3390/rs17132330
- Identifying determinants of spatio-temporal disparities in soil moisture of the Northern Hemisphere using a geographically optimal zones-based heterogeneity model P. Luo et al. https://doi.org/10.1016/j.isprsjprs.2022.01.009
- How much hydrology is embedded in low-cost sensors? Machine-learning emulation of the mesoscale hydrological model from citizen soil moisture observations A. Elsaidy et al. https://doi.org/10.1016/j.hydroa.2026.100225
- Identifying soil water movement and water sources of subsurface flow at a hillslope using stable isotope technique R. Zhou et al. https://doi.org/10.1016/j.agee.2022.108286
- Radar Remote Sensing Retrieval of Vertical Profile of Rainfall Kinetic Energy in the U.K J. Zhu et al. https://doi.org/10.1109/TGRS.2025.3542493
- A Spatial Approach for Vadose Zone Monitoring During a Zonal Artificial Infiltration Experiment Using Custom Flexible and Rigid Time Domain Reflectometry Sensors A. Papadopoulos et al. https://doi.org/10.3390/hydrology13030078
- Space–Air–Ground Synergistic Approaches for Field Water Status Precision Monitoring: A Review T. Li et al. https://doi.org/10.3390/rs18101542
- Soil moisture information in Southeast Australia – A review of long-term field measurements toward enhanced monitoring and predictive applications I. Senanayake et al. https://doi.org/10.1016/j.geodrs.2026.e01132
- Improved Soil Moisture and Electrical Conductivity Prediction of Citrus Orchards Based on IoT Using Deep Bidirectional LSTM P. Gao et al. https://doi.org/10.3390/agriculture11070635
- Pattern Recognition in Agricultural Soils Using Principal Component Analysis and Interdigitated Microwave Sensors C. Santillan-Rodríguez et al. https://doi.org/10.3390/agriengineering7060186
- A dual-threshold framework for antecedent wetness controls on hydrological connectivity and nitrate source dynamics in a subtropical agricultural watershed J. Zhou et al. https://doi.org/10.1016/j.jhydrol.2026.136396
- AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things K. Awan et al. https://doi.org/10.3390/s20216174
- 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
- Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model E. Fatima et al. https://doi.org/10.5194/hess-28-5419-2024
- An assessment of statistical interpolation methods suited for gridded rainfall datasets Y. Liu et al. https://doi.org/10.1002/joc.7389
Saved (final revised paper)
Latest update: 26 Sep 2026
Short summary
Soil moisture plays an important role in hydrological modelling. However, most existing in situ observation networks rarely provide sufficient coverage to capture soil moisture variations. Clearly, there is a need to develop a systematic approach, so that with the minimal number of sensors the soil moisture information could be captured accurately. In this study, a simple and low-data requirement method is proposed (WRF, PCA, CA), which can provide very efficient soil moisture estimations.
Soil moisture plays an important role in hydrological modelling. However, most existing in situ...