Identifying spatial and temporal drought stress variability using canopy temperature measurements and simulation modelling

使用冠层温度测量和模拟建模识别干旱胁迫的时空变化

• 批准号: 100390862
• 负责人: Professor Dr. Henning Kage
• 金额: --
• 依托单位: Abteilung Acker- und Pflanzenbau
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2009
• 资助国家: 德国
• 起止时间: 2008-12-31 至 2012-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/100390862?language=en
• 关键词: Identifying; spatial; temporal; drought; stress

The research project aims to use tractor based canopy temperature measurements in conjunction with micrometeorological measurements as an operational tool for characterising soil water characteristics site specifically in agricultural fields. This will be done using a simulation modelling and model inversion approach. A crop growth model shall then be used to calculate winter wheat yield potentials site specifically. For this purpose specific experiments on a plot scale in a rain out shelter and at the field level are planned to supplement existing extensive experimental data set for further model refinement. Special emphasis will be given on establishing stomata resistance functions and on problems of infrared based measurements of canopy temperature in sparse canopies.

该研究项目旨在将拖拉机的冠层温度测量与微气象测量结合起来，作为表征农业领域土壤水特征的操作工具。这将使用模拟建模和模型反演方法来完成。然后利用作物生长模型具体计算冬小麦产量潜力。为此，计划在防雨棚和现场进行小规模的具体实验，以补充现有的广泛实验数据集，以进一步完善模型。将特别强调建立气孔阻力函数以及稀疏冠层中基于红外的冠层温度测量问题。