%0 Dataset
%T CIrrMap250: annual maps of China's irrigated cropland from 2000 to 2020
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/f148c0cc-e5c4-4991-ab32-f48f51938ae7
%W NCDC
%R 10.6084/m9.figshare.24814293.v2
%A Zhang Ling
%K China;irrigated farmland;distribution
%X The distribution of irrigated farmland is a key data for conducting ecological, hydrological, and climatic research, and holds a particularly important position in soil and water resource management. By using a semi-automatic machine learning model and integrating multiple remote sensing data sources (including farmland distribution, vegetation index, and rice field distribution), irrigation statistics and survey data, as well as irrigation suitability, a China annual and 250 meter irrigated farmland distribution map (CIrrMap250) was generated. Evaluate the accuracy of irrigated farmland distribution data using 20000 reference samples and high-resolution irrigation water intake data. The results show that the overall accuracy of CIrrMap250 in 2000, 2010, and 2020 was 0.79-0.88, which is superior to existing similar products.