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全球网格化作物收获面积、产量、单产和 2015 年左右的每月实际面积数据。

Global gridded crop harvested area, production, yield, and monthly physical area data circa 2015.

机构信息

Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, USA.

Food and Agricultural Organization of the United Nations, Rome, Italy.

出版信息

Sci Data. 2022 Jan 20;9(1):15. doi: 10.1038/s41597-021-01115-2.

Abstract

Here we provide an update to global gridded annual and monthly crop datasets. This new dataset uses the crop categories established by the Global Agro-Ecological Zones (GAEZ) Version 3 model, which is based on the Food and Agricultural Organization of the United Nations (FAO) crop production data. We used publicly available data from the FAOSTAT database as well as GAEZ Version 4 global gridded dataset to generate circa 2015 annual crop harvested area, production, and yields by crop production system (irrigated and rainfed) for 26 crops and crop categories globally at 5-minute resolution. We additionally used available data on crop rotations, cropping intensity, and planting and harvest dates to generate monthly gridded cropland data for physical areas for the 26 crops by production system. These data are in standard georeferenced gridded format, and can be used by any global hydrology, land surface, or other earth system model that requires gridded annual or monthly crop data inputs.

摘要

在这里,我们提供了全球网格化年度和月度作物数据集的更新。这个新数据集使用了全球农业生态区 (GAEZ) 版本 3 模型确定的作物类别,该模型基于联合国粮食及农业组织 (FAO) 的作物生产数据。我们使用了 FAOSTAT 数据库中的公开数据以及 GAEZ 版本 4 全球网格化数据集,以生成约 2015 年全球按作物生产系统(灌溉和雨养)分类的 26 种作物和作物类别的年度作物收获面积、产量和单产,分辨率为 5 分钟。我们还利用关于作物轮作、复种指数和种植及收获日期的现有数据,为按生产系统分类的 26 种作物的实际面积生成了每月网格化的耕地数据。这些数据采用标准地理参考网格化格式,可用于任何需要网格化年度或月度作物数据输入的全球水文学、陆地表面或其他地球系统模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ba9/8776749/9ef62bd357ed/41597_2021_1115_Fig1_HTML.jpg

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