<p>Landslides triggered by rainfall are major catastrophes from climate-driven wetting and drying soil cycles. The soil-water characteristic curve (SWCC) is of great significance in the evaluation of slope stability. It is also noted that SWCC behaves differently in the drying and wetting process, which is commonly referred to as the hysteresis of SWCC. The current equipment for the measurement of SWCC in the field are limited to a particular suction range, time-consuming, and tedious in operation. On the other hand, the estimation of the soil suction from SWCC in the field are mainly limited to the drying process. In this paper, a framework is proposed for the estimation of soil suction from field-measured water content by calibration with the laboratory-measured drying and wetting SWCC. The framework employs Newton-Raphson’s numerical technique to derive soil suction from the established fitting parameters and water content. Residual soils obtained from a slope at Sembawang in Singapore were used for calibration, with field instrumentation including moisture sensors, rain gauges, and piezometers installed to enable real-time monitoring. The results of the proposed framework were compared with experimental data from published literature. Strong correlations were observed between the measured and estimated drying and wetting SWCC. The in-situ soil suction responses were depth-dependent, with rapid variations near the surface and delayed changes at greater depths. Moisture accumulation was more obvious at the toe than at the crest, possibly increasing the risk of landslides. Therefore, the proposed framework for the estimation of soil suction from water content is recommended.</p>