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中国 2015-2021 年种植模式图。

Maps of cropping patterns in China during 2015-2021.

机构信息

Key Laboratory of Spatial Data Mining &Information Sharing of Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fuzhou, 350116, Fujian, China.

Community and Regional Planning Program, University of Nebraska-Lincoln, Lincoln, 68558, Nebraska, USA.

出版信息

Sci Data. 2022 Aug 5;9(1):479. doi: 10.1038/s41597-022-01589-8.

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 (R ≥ 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.

摘要

多茬种植是一种通过轮作不同作物来提高作物产量的广泛方法。带有作物描述的种植强度图对于支持可持续农业管理非常重要。作为人口最多的国家,中国在全球谷物产量中排名第一,多茬种植土地的比例是全球平均水平的两倍。然而,中国目前还没有可靠的、最新的全国尺度种植模式图。在这里,我们使用基于物候的制图算法和基于像素纯度的阈值,首次提供了中国最近的基于 MODIS 的每年 500 米的多茬种植系统的全国地图,这些地图提供了有关种植强度的信息,并描述了三种主要作物(玉米、水稻和小麦)。生成的种植模式图基于地面实况数据达到了 89%的总体准确性,并且与统计数据(R≥0.89)吻合较好。中国种植模式图(ChinaCP)可在线公开下载。使用共享代码,基于 Sentinel-2 多光谱仪器(MSI)图像,可以生成具有更高分辨率的中国和其他国家的种植模式图。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d3e/9356131/80d8b3775dcc/41597_2022_1589_Fig1_HTML.jpg

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