2000-2022年全球5公里格网化粮食产量数据集

本数据产品的粮食产量是指玉米、小麦、水稻、大豆等4种大宗粮油作物的产量，以地理空间格网的方式呈现。覆盖年份为2000-2022年，空间分辨率为5公里。量化粮食产量的空间分布与变化趋势，厘定限制粮食产量增产的关键因子，是采取有效的措施提升粮食产量，实现全球粮食安全的基本要求。本数据集是首个兼具高时空分辨率的全球主要农作物产量格网化数据集。数据集揭示了全球主要粮食作物产量的精细化空间分布格局和年际变化特征，为理解全球粮食生产的区域差异性和变化驱动机制提供了重要的数据支撑。该数据集可广泛应用于全球粮食安全评估、农业生产监测和农业政策制定等领域，为实现联合国可持续发展目标中的粮食安全目标提供了关键的科学依据。

The grain yield in this data product refers to the yield of four major bulk grain and oil crops including maize, wheat, rice and soybean, presented in the form of geospatial grids. It covers the years from 2000 to 2022, with a spatial resolution of 5 kilometers. Quantifying the spatial distribution and interannual variation trends of grain yield, and identifying the key factors limiting grain yield increase are fundamental requirements for taking effective measures to boost grain production and achieve global food security. This dataset is the first global gridded crop yield dataset with both high temporal and spatial resolution. The dataset reveals the refined spatial distribution pattern and interannual variation characteristics of global major grain crop yields, providing important data support for understanding the regional differences in global grain production and the driving mechanisms of changes. This dataset can be widely applied in fields such as global food security assessment, agricultural production monitoring and agricultural policy formulation, providing key scientific evidence for achieving the food security goal in the United Nations Sustainable Development Goals.

搜集汇总

背景与挑战

背景概述

该数据集提供了2000-2022年全球5公里分辨率的四种主要粮油作物（玉米、小麦、水稻、大豆）产量空间分布数据，是首个兼具高时空分辨率的全球作物产量数据集，为全球粮食安全评估和农业生产监测提供了重要数据支撑。验证结果表明数据集精度良好，尤其大豆和小麦数据精度最高。