Flood Gradient-Driven Coupling Differentiation of Soil-Vegetation-Water Systems in Temperate Fluvial Floodplains: A Case Study of the Liaohe River (Shenyang Section)

This dataset supports the study "Flood Gradient-Driven Coupling Differentiation of Soil-Vegetation-Water Systems in Temperate Fluvial Floodplains: A Case Study of the Liaohe River (Shenyang Section)". It contains Google Earth Engine processing scripts and a sample-point table. The scripts generate: (1) flood-season cumulative inundation frequency from Sentinel-1 GRD imagery (VH polarization, IW mode, VH < -20 dB threshold); (2) growing-season maximum NDVI and fractional vegetation cover (FVC) from Sentinel-2 L2A imagery (QA60 cloud masking, endmembers 0.70/0.05); (3) land use from ESA WorldCover v200; and (4) soil texture (sand, silt, clay) from OpenLandMap v02. The file Sample_Points_v3_FullExport.csv contains 1995 sample points with 12 fields, including inundation frequency (%), FVC, soil texture components, land use, topographic wetness index (TWI), coupling coordination degree (D), and flood zone class. Raw remote sensing products are publicly available through Google Earth Engine; derived rasters were processed in ArcGIS Pro. Analyses reported in the paper used 1799 complete cases after excluding missing values and water pixels.