Computational water stress indices obtained from thermal image analysis of grapevine canopies
Computational water stress indices obtained from thermal image analysis of grapevine canopies
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DOI：
10.1007/s00271-012-0375-8
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发表时间：
2012-11-01
影响因子：
3
通讯作者：
Tyerman, Stephen
中科院分区：
文献类型：
--
作者：
Fuentes, Sigfredo;De Bei, Roberta;Tyerman, Stephen
十多年前，人们就提出了作物冠层热成像作为确定不同作物水分状况的敏感方法。本文介绍了使用 MATLABA (R) 编程技术来分析红外热图像的半自动和自动化方法的开发，同时考虑到先前文献中指出的缺陷。所提出的方法在 2010-2011 季节和 2009-2010 季节霞多丽的灌溉减少和恢复试验中对七个品种的田间条件进行了测试。与使用叶面积指数（LAI）、气孔导度、茎水势和通过红外成像测量的冠层温度得出的指数进行胁迫处理相比，控制和恢复之间存在明显的分离（通过主成分分析评估）。在同一葡萄树上获得的与 LAI 无关的冠层温度指数和其他水分胁迫测量值之间存在高度且显着的相关性。此外，还提出了一种利用从红外热图像的相同位置获得的辅助天气信息的全自动分析方法。本文是葡萄树和其他作物领域红外热成像采集和分析自动化的第一步。
Thermal imaging of crop canopies has been proposed more than a decade ago as a sensitive methodology to determine the water status of different crops. This paper describes the development of a semi-automated and automated methodology using MATLABA (R) programming techniques to analyse the infrared thermal images taking into consideration the pitfalls pointed out previously in the literature. The proposed method was tested in an irrigation reduction and recovery trial for Chardonnay in the 2010-2011 season and in the 2009-2010 season from seven varieties in field conditions. There was a clear separation (assessed by principal component analysis) between control and recovery compared to stress treatments using leaf area index (LAI), stomatal conductance, stem water potential and indices derived from canopy temperatures measured by infrared imaging. High and significant correlations were found between canopy temperature indices and other measures of water stress obtained in the same vines that were independent of LAI. Furthermore, a fully automated analysis method has been proposed using ancillary weather information obtained from the same locations of infrared thermal images. This paper is a first step towards automation of infrared thermography acquisition and analysis in the field for grapevines and other crops.