在区域范围内使用基于遥感的综合指数进行农业干旱监测和预警
Trupti Satapathy1, Jörg Dietrich2, Meenu Ramadas1
1School of Infrastructure, IIT Bhubaneswar, Odisha, 752050, India.
Environmental monitoring and assessment
|October 30, 2024
概括
一个新的区域农业干旱指数 (RegCDI) 结合了植被健康,土壤水分和作物水压力,用于早期干旱检测. 该框架通过提前两个月提供准确的干旱预测,提高了食品部门的性.
科学领域:
- 农业科学 农业科学
- 遥感 遥感 遥感 遥感
- 气候科学 气候科学
背景情况:
- 农业干旱的早期检测对于粮食部门的性至关重要.
- 现有的干旱指数可能缺乏区域特异性和预测能力.
研究的目的:
- 开发和验证一个新的区域农业干旱指数 (RegCDI).
- 评估RegCDI的预测能力,用于印度奥迪沙州的干旱预警.
主要方法:
- 一个框架结合远程感知植被健康,土壤水分和作物水压力,使用香农的权衡.
- 数据集根据区域绩效 (MODIS,GLDAS-2) 进行选择.
- 根据作物产量进行验证,并与现有的干旱指数进行比较.
主要成果:
- RegCDI有效地整合了多个干旱指标.
- 与其他干旱指数和作物产量相比,该指数表现强.
- 根据严重程度,持续时间和倾向性确定了干旱热点.
结论:
- RegCDI框架显示了干旱预警系统的巨大潜力.
- 组件指标准确地预测干旱状况,提前两个月,准确度超过80%.
- 这种方法提高了像奥迪沙这样容易遭受干旱的地区的农业弹性.
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