一个用于监测欧洲农业干旱的数据集
Guido Fioravanti1,2, Andrea Toreti3, Carmelo Cammalleri3,4
1European Commission, Joint Research Centre. Via Enrico Fermi, 2749. 21027, Ispra, VA, Italy. guido.fioravanti@ec.europa.eu.
Scientific data
|February 20, 2025
概括
综合干旱指标 (CDI) 数据集提供10天的欧洲农业干旱监测,使用降水,土壤水分和植被数据. 这种宝贵的资源有助于干旱影响评估和减缓计划.
科学领域:
- 环境科学 环境科学
- 农业科学 农业科学
- 遥感 遥感 遥感 遥感
背景情况:
- 农业干旱对欧洲的粮食安全和水资源构成重大风险.
- 有效的监测系统对于了解和减轻干旱影响至关重要.
- 现有的数据集可能缺乏全面干旱评估所需的综合方法.
研究的目的:
- 介绍和描述用于欧洲农业干旱监测的综合干旱指标 (CDI) 数据集.
- 为评估干旱传播和范围提供一个空间和时间分辨的数据集.
- 支持公共和私人利益相关者做好干旱准备和减轻影响.
主要方法:
- 该CDI数据集集整合了三个关键指标:标准化降水指数 (SPI),土壤湿度异常 (SMA) 和光合作用活性辐射 (fAPAR) 异常的部分.
- 用作物和雪面罩来改进干旱评估.
- 数据以大约5公里的空间分辨率和10天的时间分辨率的光谱图形式提供,从2012年开始可用.
主要成果:
- CDI数据集提供了欧洲农业干旱状况的全面视图.
- 它有效地捕捉了干旱事件的空间和时间变化.
- 数据集的分辨率和多个指标的整合为干旱动态提供了有价值的见解.
结论:
- CDI数据集是监测欧洲农业干旱及其影响的有效工具.
- 它为水资源管理者,农民和土地管理者提供了关键信息,帮助他们做出明智的决策.
- 该数据集可通过哥白尼计划的欧洲干旱观测站访问,以促进其在研究和操作应用中的使用.
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