Surface Water Classification by DSWE and JRC Algorithms

Figure 2. Example classification of surface water by the DSWE and JRC algorithms in a Landsat 8 scene acquired near Stockton, California. The Landsat image is a false-color representation of the landscape; here red depicts growing vegetation and green shades largely depict barren agricultural areas. Water bodies are dark blue. The reduction of the scene to multiple classes of water presence (DSWE) and binary water/not-water presence (JRC) illustrates how sequences of such maps make it easier to track the effects of development or agricultural conversion on patterns of surface water across the landscape. These insights can be applied to anticipated land changes to estimate the future flooding potential. Figure from Figure 2. in (Walker et al. 2020).