@article{60d2c4ddb04844f59599ffa253f01190,
title = "Maps of cropping patterns in China during 2015–2021",
abstract = "Multiple cropping is a widespread approach for intensifying crop production through rotations of diverse crops. Maps of cropping intensity with crop descriptions are important for supporting sustainable agricultural management. As the most populated country, China ranked first in global cereal production and the percentages of multiple-cropped land are twice of the global average. However, there are no reliable updated national-scale maps of cropping patterns in China. Here we present the first recent annual 500-m MODIS-based national maps of multiple cropping systems in China using phenology-based mapping algorithms with pixel purity-based thresholds, which provide information on cropping intensity with descriptions of three staple crops (maize, paddy rice, and wheat). The produced cropping patterns maps achieved an overall accuracy of 89% based on ground truth data, and a good agreement with the statistical data (R2 ≥ 0.89). The China Cropping Pattern maps (ChinaCP) are available for public download online. Cropping patterns maps in China and other countries with finer resolutions can be produced based on Sentinel-2 Multispectral Instrument (MSI) images using the shared code.",
author = "Bingwen Qiu and Xiang Hu and Chongcheng Chen and Zhenghong Tang and Peng Yang and Xiaolin Zhu and Chao Yan and Zeyu Jian",
note = "Funding Information: This work was supported by the National Natural Science Foundation of China (grant no. 42171325, 41771468), funding from the Science Bureau of Fujian Province (2020N5002) and Ministry of Natural Resources of China (KY-010000-04-2000-002). Thanks to our research members (Li Zhengrong, Yu Linhai, Yang Xin, Yan Xiongfei, Liu Zhe, Duan Mingjie, etc.), collaborators (Fujian Jinwei Surveying and Mapping Information Corporation, Shaanxi Geomatics Center of Ministry of Natural Resources, the corresponding reference data was not shared considering the non-disclosure agreement.) and friends for collecting the field data. We are very grateful to the Editorial Board and anonymous reviewers for offering insightful suggestions and detailed comments which significantly improve the manuscript. Funding Information: This work was supported by the National Natural Science Foundation of China (grant no. 42171325, 41771468), funding from the Science Bureau of Fujian Province (2020N5002) and Ministry of Natural Resources of China (KY-010000-04-2000-002). Thanks to our research members (Li Zhengrong, Yu Linhai, Yang Xin, Yan Xiongfei, Liu Zhe, Duan Mingjie, etc.), collaborators (Fujian Jinwei Surveying and Mapping Information Corporation, Shaanxi Geomatics Center of Ministry of Natural Resources, the corresponding reference data was not shared considering the non-disclosure agreement.) and friends for collecting the field data. We are very grateful to the Editorial Board and anonymous reviewers for offering insightful suggestions and detailed comments which significantly improve the manuscript. Publisher Copyright: {\textcopyright} 2022, The Author(s).",
year = "2022",
month = dec,
doi = "10.1038/s41597-022-01589-8",
language = "English",
volume = "9",
journal = "Scientific data",
issn = "2052-4463",
publisher = "Nature Research",
number = "1",
}