Articles | Volume 27, issue 5
https://doi.org/10.5194/hess-27-1173-2023
© Author(s) 2023. 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-27-1173-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Mar 2023
Research article |
| 16 Mar 2023
| 16 Mar 2023
A comprehensive assessment of in situ and remote sensing soil moisture data assimilation in the APSIM model for improving agricultural forecasting across the US Midwest
Marissa Kivi
CORRESPONDING AUTHOR
Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
Noemi Vergopolan
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
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Cited
17 citations as recorded by crossref.
- The Characterization of the Vertical Distribution of Surface Soil Moisture Using ISMN Multilayer In Situ Data and Their Comparison with SMOS and SMAP Soil Moisture Products N. Yang et al. https://doi.org/10.3390/rs15163930
- Simulating within-field spatial and temporal corn yield response to nitrogen with APSIM model L. Thompson et al. https://doi.org/10.1007/s11119-024-10178-1
- Estimation of multi-layer soil moisture in agricultural irrigation areas based on a feature-level integrated LSTM-XGBoost model D. Wang et al. https://doi.org/10.1016/j.agwat.2026.110379
- Soil and Water Assessment Tool (SWAT)-Informed Deep Learning for Streamflow Forecasting with Remote Sensing and In Situ Precipitation and Discharge Observations C. Huang et al. https://doi.org/10.3390/rs16213999
- Refining the shuttleworth-wallace model with particle swarm optimization and genetic algorithm for evapotranspiration simulation in the ecotone of the eastern margin of the tibetan plateau Z. Weihang et al. https://doi.org/10.1016/j.catena.2026.110014
- A physics-guided sensor-to-model framework for real-time estimation and near-future forecasting of soil moisture H. Zhao et al. https://doi.org/10.1016/j.advwatres.2026.105221
- Plot-Scale Irrigation Dates and Amount Detection Using Surface Soil Moisture Derived from Sentinel-1 SAR Data in the Optirrig Crop Model M. Hamze et al. https://doi.org/10.3390/rs15164081
- Coupled estimation of root zone soil moisture and soil hydraulic parameters with reduced-adjoint variational data assimilation using near-surface soil moisture observations P. Heidary et al. https://doi.org/10.1016/j.envsoft.2026.107035
- Optimization of Cotton Field Irrigation Scheduling Using the AquaCrop Model Assimilated with UAV Remote Sensing and Particle Swarm Optimization F. Wang et al. https://doi.org/10.3390/agriculture15171815
- Satellite-Guided Delineation of Crop Production Zones from Official Crop Statistics for Spatial Agricultural Decision Support A. Attia et al. https://doi.org/10.3390/su18146937
- Improving regional simulations of processing tomato using remote sensing X. Yang et al. https://doi.org/10.1016/j.eja.2026.128075
- A data-driven crop model for biomass sorghum growth process simulation Y. Chang et al. https://doi.org/10.3389/fpls.2025.1617775
- Crop Growth Models: Development, Applications, Recent Advances, and Future Perspectives G. Li et al. https://doi.org/10.3390/plants15152395
- Models for predicting nitrate leaching and assessing cover crop mitigation: A systematic review V. Daimonakos et al. https://doi.org/10.1016/j.jenvman.2026.130004
- Enhancing winter wheat yield estimation by synergizing UAV remote sensing and a hybrid PROSAIL–AquaCrop data assimilation framework Y. Xu et al. https://doi.org/10.1016/j.agrformet.2026.111203
- A review of integrated crop growth and hydrological models for sustainable agriculture in the midwest: Challenges and opportunities F. Pourmansouri et al. https://doi.org/10.1016/j.agwat.2026.110368
- Quantification of wheat water footprint based on data assimilation of remote sensing and WOFOST model J. Xue et al. https://doi.org/10.1016/j.agrformet.2024.109914
17 citations as recorded by crossref.
- The Characterization of the Vertical Distribution of Surface Soil Moisture Using ISMN Multilayer In Situ Data and Their Comparison with SMOS and SMAP Soil Moisture Products N. Yang et al. https://doi.org/10.3390/rs15163930
- Simulating within-field spatial and temporal corn yield response to nitrogen with APSIM model L. Thompson et al. https://doi.org/10.1007/s11119-024-10178-1
- Estimation of multi-layer soil moisture in agricultural irrigation areas based on a feature-level integrated LSTM-XGBoost model D. Wang et al. https://doi.org/10.1016/j.agwat.2026.110379
- Soil and Water Assessment Tool (SWAT)-Informed Deep Learning for Streamflow Forecasting with Remote Sensing and In Situ Precipitation and Discharge Observations C. Huang et al. https://doi.org/10.3390/rs16213999
- Refining the shuttleworth-wallace model with particle swarm optimization and genetic algorithm for evapotranspiration simulation in the ecotone of the eastern margin of the tibetan plateau Z. Weihang et al. https://doi.org/10.1016/j.catena.2026.110014
- A physics-guided sensor-to-model framework for real-time estimation and near-future forecasting of soil moisture H. Zhao et al. https://doi.org/10.1016/j.advwatres.2026.105221
- Plot-Scale Irrigation Dates and Amount Detection Using Surface Soil Moisture Derived from Sentinel-1 SAR Data in the Optirrig Crop Model M. Hamze et al. https://doi.org/10.3390/rs15164081
- Coupled estimation of root zone soil moisture and soil hydraulic parameters with reduced-adjoint variational data assimilation using near-surface soil moisture observations P. Heidary et al. https://doi.org/10.1016/j.envsoft.2026.107035
- Optimization of Cotton Field Irrigation Scheduling Using the AquaCrop Model Assimilated with UAV Remote Sensing and Particle Swarm Optimization F. Wang et al. https://doi.org/10.3390/agriculture15171815
- Satellite-Guided Delineation of Crop Production Zones from Official Crop Statistics for Spatial Agricultural Decision Support A. Attia et al. https://doi.org/10.3390/su18146937
- Improving regional simulations of processing tomato using remote sensing X. Yang et al. https://doi.org/10.1016/j.eja.2026.128075
- A data-driven crop model for biomass sorghum growth process simulation Y. Chang et al. https://doi.org/10.3389/fpls.2025.1617775
- Crop Growth Models: Development, Applications, Recent Advances, and Future Perspectives G. Li et al. https://doi.org/10.3390/plants15152395
- Models for predicting nitrate leaching and assessing cover crop mitigation: A systematic review V. Daimonakos et al. https://doi.org/10.1016/j.jenvman.2026.130004
- Enhancing winter wheat yield estimation by synergizing UAV remote sensing and a hybrid PROSAIL–AquaCrop data assimilation framework Y. Xu et al. https://doi.org/10.1016/j.agrformet.2026.111203
- A review of integrated crop growth and hydrological models for sustainable agriculture in the midwest: Challenges and opportunities F. Pourmansouri et al. https://doi.org/10.1016/j.agwat.2026.110368
- Quantification of wheat water footprint based on data assimilation of remote sensing and WOFOST model J. Xue et al. https://doi.org/10.1016/j.agrformet.2024.109914
Saved (final revised paper)
Latest update: 11 Aug 2026
Short summary
This study attempts to provide a framework for direct integration of soil moisture observations collected from soil sensors and satellite imagery into process-based crop models for improving the representation of agricultural systems. The performance of this framework was evaluated across 19 sites times years for crop yield, normalized difference vegetation index (NDVI), soil moisture, tile flow drainage, and nitrate leaching.
This study attempts to provide a framework for direct integration of soil moisture observations...
