multi-source fusion tidal flat dataset of China at 10m resolution (2019-2025)

This dataset is the China 10M Tidal Flat Dataset, which includes 10 folders representing 10 coastal provinces in China. Among them, Shanghai is included in Jiangsu, Tianjin is included in Hebei, and Hong Kong and Macao are included in Guangdong.The data format is tif, and each tif file has one band. A value of 1 represents tidal flat pixels, while a value of 0 represents non-tidal flat pixels. Abstract:The evolution of tidal flats is constrained by both natural factors and human activities. Addressing the issues of frequent cloud cover and insufficient quantitative analysis of driving mechanisms in coastal China, this study developed an automated extraction model on the GEE platform. By fusing Sentinel-1/2 imagery to construct high-density time series, the model effectively overcame cloud and tidal influences, achieving high-precision dynamic monitoring from 2019 to 2025. Validation using "Core Area Sampling" showed an average Overall Accuracy of 86.25% (Kappa=0.73), demonstrating excellent robustness.Further analysis revealed significant spatial heterogeneity in driving mechanisms: the Liaoning, Jiangsu, and Zhejiang-Fujian coasts are primarily dominated or constrained by thermal conditions (sea ice), hydrological and sediment processes (precipitation), and hydrodynamic environments (wind and waves), respectively; while human activities, such as Spartina alterniflora control, are the main cause of abrupt local area changes. The proposed multi-source fusion scheme and analysis results provide a scientific basis for all-weather tidal flat monitoring and differentiated coastal management.