Fig. 6
Spatial comparison between USGS (input) and remotely sensed (reference) land use datasets in three different years. The subplots (a–c) correspond to zoomed-in portions of the Mississippi River Basin floodplains in Iowa, Arkansas, and Louisiana, respectively. a1, b1, c1 show ESA’s Climate Change Initiative (CCI) land use maps based on satellite observations (hereafter, the remotely sensed land use)58, while a2, b2, c2 show the land use data obtained from USGS land modeling framework28,29. The remotely sensed land use (a1 − c1) was our reference to validate the spatial consistency of the USGS land use (a2 − c2; the input land use data in our methodology). Subplots a3 − c3 show the correlation between remotely sensed and USGS datasets across different land use classes within the given spatial domains. The generic land use classes include water, developed, barren, forest, grassland, agriculture, and wetland (abbreviated as Wat, Dev, Barr, For, Grass, Ag, and Wet, respectively).
