<p>Water quality monitoring is crucial for agricultural sustainability and overall human well-being as it provides alert to potential threats related to water quality which can significantly make it unfit for intended uses. Remote sensing technology through cloud-based platform like Google Earth Engine (GEE) offers the potential for synoptic coverage and repeated monitoring of water quality. This study aimed at developing a dynamic web-based application in GEE JavaScript Application Programming Interface (API) for monitoring water quality parameters based on established approaches from the scientific literatures. The application made is statistically significant, facilitating dynamic monitoring of Turbidity, TSS, EC, and pH with R² of 0.7214, p &lt; 0.00187; 0.8045, p &lt; 0.015; 0.6832, p &lt; 0.00317; and 0.7394, p &lt; 0.0014 respectively in the selected area of interest, and date range. Moreover, users will be able to download the created layer of a selected parameter, created time-series-chart, metadata in csv format and extract georeferenced specific pixel values. However, accuracy should be verified in case it is used to other water bodies apart from Mindu Reservoir, because the in-situ data for the web application validation were only collected from Mindu Reservoir. This will facilitate informed decision toward water management and satisfy the 2030 agenda and the Sustainable Development Goal (SDG)-6, which highlights the need for protection, restoration, and sustainable management of water-related ecosystems.</p>