A time series dataset of dynamic impervious surface percentages (DISP) from 2000 to 2023 in Asia

Dynamic impervious surface percentages (DISP) were generated using a temporal optimization approach for various change rules. Firstly, multiple types of timing training samples were generated through spatiotemporal consistency screening and supplementary correction, due to differences between existing products. Then, a multi-source feature set with a multi-temporal remote sensing image fusion method based on subregional seasonal information was proposed to construct annual regional adaptive estimation models. Lastly, a time-series correction method, based on overall trends, was proposed to optimize the time-series dynamic impervious surface percentages under various changes trends to enhance the time-series rationality. Spatial Resolution: 500m; Study Area: Asia; Time Series: 2000-2023 (Annual)