全非洲农业生产数据库,以支持政策和基于卫星的测量系统
Emily C Geyman1, Alex Ferris2, Ritvik Sahajpal3
1Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA. egeyman@caltech.edu.
Scientific data
|July 2, 2025
概括
改善非洲农业需要更好的数据. 非洲GROW数据库提供了535,844个地理引用的作物产量观测数据,使得增强的分析和绘图能够提高整个非洲大陆的粮食安全.
科学领域:
- 农业科学 农业科学
- 数据科学数据科学数据科学
- 气候科学 气候科学
背景情况:
- 农业对非洲经济至关重要,但与全球平均水平相比,其产量增长缓慢.
- 目前农业改进战略受到缺乏详细,准确和广泛的数据的阻碍.
- 了解作物产量对气候和农业实践的反应需要细粒度,空间显式的统计数据.
研究的目的:
- 推出GROW-Africa,这是一个全面的数据库,涵盖非洲各地的地理参考作物产量观测.
- 对25种关键作物的不同数据源进行同化,从国家统计数据到地块层面的测量.
- 通过数据驱动的洞察力建立改善农业生产力的基础.
主要方法:
- 编制了来自非洲各地各个来源的535,844个地理参考作物产量观测结果.
- 来自区域政府的综合数据,家庭调查和块级作物削减.
- 分析共定位的观测,以识别和减轻不同数据类型中的偏差和错误.
主要成果:
- 开发了GROW-Africa数据库,这是非洲作物产量数据的独特资源.
- 识别并解决各种数据源中固有的偏见和错误.
- 证明了数据库对训练遥感模型的有用性.
结论:
- GROW-Africa数据库为了解和改善非洲农业提供了关键数据.
- 这种资源可以显著提高通过遥感作物产量绘制的准确性.
- 促进数据驱动的战略,以提高非洲的农业生产率和粮食安全.
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