A 30-m annual paddy rice dataset in Northeastern China during period 2000-2023.

Here, we used (1) hierarchical screening principle to select ground samples, (2) the linear interpolation and Whittaker smoothing Landsat5/7/8 time series data and (3) enhanced spectral-feature sets to map annual 30-meter rice distribution in Northeastern China since the 21st century by using random forest method via Google Earth Engine (GEE) platform. In summary, the resultant maps have high overall accuracy (OA) ranging from 0.93 to 0.99, and the satellite estimates corresponded well with statistics for most cities (R2≥0.7, p<0.01). In addition, our results had higher accuracy than that of similar crops mapping datasets. This is the first effort in China to reconstruct paddy rice pattern at the 30-m resolution along such a detailed and long time-series.