期刊
SCIENTIFIC DATA
卷 9, 期 1, 页码 -出版社
NATURE PORTFOLIO
DOI: 10.1038/s41597-022-01522-z
关键词
-
资金
- Strategic Priority Research Program of the Chinese Academy of Sciences [XDA23100400, XDA19040301]
- National Natural Science Foundation of China [41871349]
This study developed annual 500-m irrigated cropland maps for China from 2000 to 2019, using a two-step strategy that integrated statistics, remote sensing, and existing irrigation products. The resulting maps, with moderate overall accuracies, provide important information about the spatial distribution and extent of irrigated croplands, contributing to sustainable water use and agricultural development.
As a routine agricultural practice, irrigation is fundamental to protect crops from water scarcity and ensure food security in China. However, consistent and reliable maps about the spatial distribution and extent of irrigated croplands are still unavailable, impeding water resource management and agricultural planning. Here, we produced annual 500-m irrigated cropland maps across China for 2000-2019, using a two-step strategy that integrated statistics, remote sensing, and existing irrigation products into a hybrid irrigation dataset. First, we generated intermediate irrigation maps (MIrAD-GI) by fusing the MODIS-derived greenness index and statistical data. Second, we collected all existing available irrigation maps over China and integrated them with MIrAD-GI into an improved series of annual irrigation maps, using constrained statistics and a synergy mapping method. The resultant maps had moderate overall accuracies (0.732 similar to 0.819) based on nationwide reference ground samples and outperformed existing irrigation products by inter-comparison. As the first of this kind in China, the annual maps delineated the spatiotemporal pattern of irrigated croplands and could contribute to sustainable water use and agricultural development.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据