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.
인용 양식
Salvatore Manfreda (2025). SMAR: Soil moisture analytical relationship (https://kr.mathworks.com/matlabcentral/fileexchange/136614-smar-soil-moisture-analytical-relationship), MATLAB Central File Exchange. 검색 날짜: .
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