Water Turbidity Mapping Using Sentinel-2A Imagery and Cloud Based Google Earth Engine in Saguling Reservoir

Abstract

Abstract Turbidity represents the level of suspended sediments in water, that will contribute to a greater effect on the sedimentation process such as siltation in river and reservoir. Knowing the distribution of turbidity is expected to provide an overview of which parts of the reservoir area need special attention to reduce the sedimentation rate of the reservoir. The study location is the Saguling Reservoir. All stages in this study are processed in the Google Earth Engine, a cloud-based computing that only produce one output of water with turbidity index values only. The visualization shows that the normalized difference turbidity index (NDTI) varies with a minimum value index of -0.187228 and a maximum value index of 0.09871. The results of this study are sufficient to describe where the source of turbidity has the potential to become sediment in the reservoir which continues to settle and can gradually accelerate the lifetime of the dam. The map produced can provide an overview for stakeholders who have a task in managing water resources. The higher of turbidity show the worse condition of the catchment area or watershed area upstream. The conditions can be a consideration in planning engineering that might be done so as to reduce sedimentation that occurs in the reservoir.