Articles | Volume 18, issue 3
https://doi.org/10.5194/hess-18-1199-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-1199-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A physically based approach for the estimation of root-zone soil moisture from surface measurements
S. Manfreda
School of Engineering, University of Basilicata, Potenza, Italy
L. Brocca
Research Institute for Geo-Hydrological Protection (IRPI), National Research Council, Perugia, Italy
T. Moramarco
Research Institute for Geo-Hydrological Protection (IRPI), National Research Council, Perugia, Italy
F. Melone
Research Institute for Geo-Hydrological Protection (IRPI), National Research Council, Perugia, Italy
J. Sheffield
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
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- Enhanced Estimation of Root Zone Soil Moisture at 1 km Resolution Using SMAR Model and MODIS-Based Downscaled AMSR2 Soil Moisture Data M. Farokhi et al. 10.3390/s21155211
- Comparative study of soil moisture estimations from SMOS satellite mission, GLDAS database, and cosmic-ray neutrons measurements at COSMOS station in Eastern Poland M. Kędzior & J. Zawadzki 10.1016/j.geoderma.2016.07.023
- Proposed methodology for site-specific soil moisture obtainment utilizing coarse satellite-based data D. Francis & L. Bryson 10.1007/s12665-023-11057-0
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- Assessment of Irrigation Demands Based on Soil Moisture Deficits Using a Satellite-Based Hydrological Model K. Sushanth et al. 10.3390/rs15041119
- An Exponential Filter Model-Based Root-Zone Soil Moisture Estimation Methodology from Multiple Datasets Y. Yang et al. 10.3390/rs14081785
- Improved subsurface soil moisture prediction from surface soil moisture through the integration of the (de)coupling effect Z. Xu et al. 10.1016/j.jhydrol.2022.127634
- Uncertainty estimation for a new exponential-filter-based long-term root-zone soil moisture dataset from Copernicus Climate Change Service (C3S) surface observations A. Pasik et al. 10.5194/gmd-16-4957-2023
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