Multi-variable based vegetation monitoring and prediction during droughts

干旱期间基于多变量的植被监测与预测

• 批准号: FT230100209
• 负责人: A/Prof Yi Liu
• 金额: $ 63.41万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-05-01 至 2028-04-30
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT230100209
• 关键词: Multi; variable; based; vegetation; monitoring; Multi; variable; based; vegetation; monitoring

This project aims to reduce the uncertainties in characterizing and predicting drought impacts on Australian ecosystems. This project is expected to better understand how vegetation responded to hydro-meteorological conditions from the onset to termination stages during Australian droughts in the past 40 years, by investigating the newly developed first global long-term vegetation water content record from satellites. Expected outcomes of this project will be the enhanced capacity to better identify early warning signals and more accurately predict vegetation responses to future droughts. This should provide significant benefits in developing drought mitigation strategies for national agricultural production and water resource allocation.

该项目旨在减少表征和预测干旱对澳大利亚生态系统的影响的不确定性。预计该项目可以更好地理解过去40年中澳大利亚干旱期间从发作到终止阶段的水电学条件的反应，通过调查卫星的新首次全球长期植被水含量记录。该项目的预期结果将是更好地识别预警信号并更准确地预测植被对未来干旱的反应的能力。这应该为国家农业生产和水资源分配制定干旱策略提供重大好处。