Charlie Labuzzetta / Abstract : Land cover is one data type reported for sample points in the National Resources Inventory (NRI). We present a satellite data based classification pipeline for assessing the presence of surface water land covers at NRI sample points. This pipeline includes data acquisition using Google Earth Engine, STFit imputation of missing values, Random Forest based classification, and outlier detection. Various methods of visualization of such classifications and analyses will also be presented. Finally, we discuss a comparison of this pipeline to current NRI methods in a case study of the Salton Sea region in California, an area recently experiencing drought.