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SMAR: Soil moisture analytical relationship

Version 1.0.0 (6.74 KB) by Salvatore Manfreda
Formulation for the estimation of the soil moisture (SM) in the root zone based on the measured value of SM at the surface
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Updated 15 Oct 2023

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Code for the application of the SMAR model (Manfreda et al., 2014) and its calibration when root-zone soil moisture data are available for parameter calibration.
References
Manfreda, S., L. Brocca, T. Moramarco, F. Melone, and J. Sheffield, A physically based approach for the estimation of root-zone soil moisture from surface measurements. Hydrology and Earth System Sciences, 18, 1199-1212, (doi:10.5194/hess-18-1199-2014), 2014.
Faridani, F., A. Farid, H. Ansari, and S. Manfreda, Estimation of the root-zone soil moisture using passive microwave remote sensing and SMAR model. Journal of Irrigation and Drainage Engineering, 04016070, 1-9, (doi: 10.1061/(ASCE)IR.1943-4774.0001115), 2016.
Baldwin, D., S. Manfreda, K. Keller, and E.A.H. Smithwick, Predicting root zone soil moisture with soil properties and satellite near-surface moisture data at locations across the United States. Journal of Hydrology, 546, 393-404, (doi: 10.1016/j.jhydrol.2017.01.020), 2017.
Baldwin, D., S. Manfreda, H. Lin, and E.A.H. Smithwick, Estimating root zone soil moisture across the Eastern United States with passive microwave satellite data and a simple hydrologic model. Remote Sensing, 11, 2013, (doi: 10.3390/rs11172013), 2019.

Cite As

Salvatore Manfreda (2023). SMAR: Soil moisture analytical relationship (https://www.mathworks.com/matlabcentral/fileexchange/136614-smar-soil-moisture-analytical-relationship), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2023b
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Version Published Release Notes
1.0.0