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Le, T. T. H., Pham, M. H., Nguyen, T. B., & Nguyen, N. T. (2020). Estimating soil salinity of agricultural soil in some areas near the estuaries of Hai Phong – Thai Binh provinces using Sentinel 2A imagery. Journal of Geodesy and Cartography, (45), 35–41. https://doi.org/10.54491/jgac.2020.45.321
Abstract
In recent years, the complexity of the downstream flow indry season in combination with the increasing demand for water of differenteconomic sectors... has led to the increasing salinity intrusion in some coastalareas of the Red River delta. This study evaluated soil salinity at theestuaries of the Van Uc, Thai Binh and Tra Ly rivers using Sentinel 2A data.Sentinel 2A data were used to extract indices including single spectral band,VSSI, SAVI, NDVI, and NDSI index. Statistical analyses between conductivity (EC1:5,dS/m) and indices were performed. The results show that the spectral valuesof the near infrared band and the VSSI index strongly correlate with EC1:5(with correlation coefficients of 0.75 and 0.63, respectively). The comparisonshows that the soil salinity estimated from Sentinel 2A data is consistent withfield data (with R2 = 0.74 and RMSE = 3.36 dS/m for the spectralband NIR and R2 = 0, 67 and RMSE = 3.8 dS/m for the VSSI index). Theresults of this study demonstrate that Sentinel 2A data has high potential formonitoring the salinity of the topsoil. Moreover, the study results are usefulfor agricultural activities, providing important information to authorities andfarmers by mapping soil salinity as a basis for better crop choices to reduceeconomic losses in the context of climate change.
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