A Simple Procedure to Preprocess and Ingest Level-2 Ocean Color Data into Google Earth Engine

Data from ocean color (OC) remote sensing are considered a cost-effective tool for the study of biogeochemical processes globally. Satellite-derived chlorophyll, instance, is an essential climate variable since it helpful in detecting change impacts. Google Earth Engine (GEE) planetary scale data analysis. Along with OC data, such tools allow unprecedented spatial and temporal analysis water quality monitoring way that has never been done before. Although have routinely collected at medium (~1 km) more recently higher (~250 m) resolution, only coarse resolution (?4 available GEE, making them unattractive applications coastal regions. reprojection needed prior to readily GEE. In this paper, we introduce simple but practical procedure reproject ingest into GEE their native resolution. The applicable swath (Level-2) easily adaptable higher-level products. results showed consistent distributions between reprojected building confidence introduced framework. aims start discussion on