Nanxun Innovation Institute, Zhejiang University of Water Resources and Electric Power, Hangzhou, 310018, Zhejiang, China.
Zhejiang Institute of Hydraulics and Estuary (Zhejiang Institute of Marine Planning and Design), Hangzhou, 310020, Zhejiang, China.
Sci Data. 2024 Nov 12;11(1):1218. doi: 10.1038/s41597-024-04065-7.
Winter wheat is a major staple food grown worldwide. China contributes about 19% of the winter wheat production in the world. Therefore, quickly and accurately acquiring winter wheat distribution in China over long time periods is critical to achieve grain safety and understand the spatiotemporal patterns of winter wheat. However, there is a lack of widely available, high spatial resolution, long-term, and large-scale remotely sensed maps on winter wheat cultivation in China. In this study, we utilized a phenology-based algorithm to identify winter wheat location. The algorithm integrated three key growing features of winter wheat into one variable to calculate the planting probability of winter wheat. Here, we produced a long-term winter wheat map dataset at 30-m resolution for China from 2001 to 2020 using the fusion dataset. The resultant maps achieved high accuracy based on field survey samples, with user's, producer's, and overall accuracies of 91.17%, 90.92%, and 91.6%, respectively. Furthermore, the mapped winter wheat area aggregated to municipal- and county-levels exhibited good correlations with agricultural statistical data.
冬小麦是世界范围内广泛种植的主要粮食作物之一。中国的冬小麦产量约占世界总产量的 19%。因此，快速、准确地获取中国长时间跨度的冬小麦分布信息对于实现粮食安全和了解冬小麦的时空格局至关重要。然而，中国缺乏广泛可用的、高空间分辨率的、长期的、大规模的冬小麦遥感监测图。在本研究中，我们利用基于物候学的算法来识别冬小麦的位置。该算法将冬小麦的三个关键生长特征整合到一个变量中，以计算冬小麦的种植概率。在这里，我们利用融合数据集，以 30 米的分辨率生成了中国 2001 年至 2020 年的长期冬小麦地图数据集。基于实地调查样本，生成的地图具有很高的精度，用户精度、生产者精度和总体精度分别为 91.17%、90.92%和 91.6%。此外，县级和市级汇总的冬小麦种植面积与农业统计数据具有很好的相关性。
