there may be a mismatch in dates when comparing to other LULC datasets. Thus, by characterizing the relative agreement of different datasets with hand-annotated labels for a specific Sentinel-2 image, these comparisons provide important insights into the value of NRT classification for capturing fine-grained spatial and temporal 