全球网格作物生产数据集在10公里分辨率从2010年到2020年
Xingli Qin1, Bingfang Wu2,3, Hongwei Zeng1
1Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China.
Scientific data
|December 18, 2024
概括
一个新的全球网格作物生产数据集 (GGCP10) 为2010-2020年关键作物提供了10公里的分辨率. 这些高分辨率数据增强了对全球粮食安全和农业发展的理解.
科学领域:
- 农业科学 农业科学
- 地理空间数据科学数据科学
- 环境科学 环境科学
背景情况:
- 现有的全球作物生产数据集存在粗的分辨率和不连续的时间跨度问题.
- 准确,高分辨率的数据对于理解全球粮食安全和农业可持续性至关重要.
研究的目的:
- 为玉米,小麦,大米和大豆开发一个高分辨率 (10公里) 的全球格式作物生产数据集 (GGCP10),涵盖2010-2020年.
- 解决现有数据集在空间和时间分辨率方面的局限性.
- 为研究全球粮食安全和可持续农业提供可靠的数据.
主要方法:
- 开发了适应训练,数据驱动的空间估计模型,用于作物生产.
- 集成多个数据源:统计,网格化生产,农业气候,农业学,卫星和地面数据.
- 训练有素的农业生态区模型和与区域统计数据校准的估计.
主要成果:
- 创建了2010-2020年10公里分辨率 (GGCP10) 的全球网格作物生产数据集.
- 通过交叉验证验证模型性能,并使用各种数据源评估数据集准确性.
- 揭示了关键商品全球作物生产的时空分布模式.
结论:
- GGCP10提供了前所未有的全球作物生产细节,改进了现有的数据集.
- 该数据集对于了解作物生产变化的驱动因素至关重要.
- GGCP10支持对全球粮食安全和可持续农业发展至关重要的研究.
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