Salinity intrusion is a pressing issue in the coastal areas worldwide. It affects the natural environment and causes massive economic loss due to its impacts on the agricultural productivity and food safety. Here, we assessed the salinity intrusion in the Tra Vinh Province, in the Mekong Delta of Vietnam. Landsat 8 OLI image was utilized to derive indices for soil salinity estimate including the single bands, Vegetation Soil Salinity Index (VSSI), Soil Adjusted Vegetation Index (SAVI), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Salinity Index (NDSI). Statistical analysis between the electrical conductivity (EC_1:5, dS/m) and the environmental indices derived from Landsat 8 OLI image was performed. Results indicated that spectral values of near-infrared (NIR) band and VSSI were better correlated with EC_1:5 (r² = 0.8 and r² = 0.7, respectively) than the other indices. Comparative results show that soil salinity derived from Landsat 8 was consistent with in situ data with coefficient of determination, R² = 0.89 and RMSE = 0.96 dS/m for NIR band and R² = 0.77 and RMSE = 1.27 dS/m for VSSI index. Findings of this study demonstrate that Landsat 8 OLI images reveal a high potential for spatiotemporally monitoring the magnitude of soil salinity at the top soil layer. Outcomes of this study are useful for agricultural activities, planners, and farmers by mapping the soil salinity contamination for better selection of accomodating crop types to reduce economical loss in the context of climate change. Our proposed method that estimates soil salinity using satellite-derived variables can be potentially useful as a fast-approach to detect the soil salinity in the other regions with low cost and considerable accuracy.

盐度入侵是全球沿海地区的紧迫问题。它影响自然环境，并因其对农业生产力和食品安全的影响而造成巨大的经济损失。在这里，我们评估了越南湄公河三角洲特拉荣省的盐度入侵。利用Landsat 8 OLI图像得出土壤盐分估值的指标，包括单波段，植被土壤盐分指数（VSSI），土壤调整植被指数（SAVI），归一化植被指数（NDVI）和归一化盐度指数（NDSI） 。导电性之间的统计分析（EC _1：5（dS / m），并从Landsat 8 OLI图像得出环境指数。结果表明，与其他指数相比，近红外（NIR）波段和VSSI的光谱值与EC _1：5的相关性更好（分别为r ² = 0.8和r ² = 0.7）。比较结果表明，来自Landsat 8的土壤盐分与现场数据一致，测定系数为NIR波段和R ²，R ² = 0.89和RMSE = 0.96 dS / m。对于VSSI索引= 0.77，RMSE = 1.27 dS / m。这项研究的结果表明，Landsat 8 OLI图像显示出时空监测顶层土壤层土壤盐度大小的巨大潜力。这项研究的结果对于农业活动，计划者和农民都是有用的，它们可以绘制土壤盐分污染的图，以便更好地选择合适的农作物类型，以减少气候变化背景下的经济损失。我们提出的使用卫星衍生变量估算土壤盐分的方法可能作为低成本快速，准确，低成本地检测其他地区土壤盐分的方法很有用。