%0 Dataset
%T Long history paddy rice mapping across Northeast China with deep learning and annual result enhancement method
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/17367d4c-d431-4b2e-953f-1305f7fd6cf7
%W NCDC
%R 10.6084/m9.figshare.27604839.v1
%A Yang Peng
%K Deep Learning;Northeast China;Rice
%X The annual distribution map of rice in Northeast China from 1985 to 2023 was completed for the first time using multi-sensor Landsat data and deep learning models. Adopting the Annual Results Enhancement (ARE) method, which can handle the category probability differences generated by deep learning models at different stages. This method helps alleviate the impact of limited training samples during large-scale cross sensor rice mapping. Compared with traditional rice mapping methods, the ARE method achieved a 6% increase in F1 score.