中文摘要：

利用Fluke红外热像仪获取两个棉花品种4水平水分处理5个关键生育时期冠层的红外热图像；并在红外热图像测试的样本区内，分别测试棉花叶片净光合速率（Pn）、气孔导度（Gs）和叶面积指数（LAI）。应用图像处理技术，提取棉花冠层受光叶片温度，并将人工参考湿表面（WARS）的温度运用到Jones定义的作物水分胁迫指数CWSI的经验公式中，计算CWSI；分析棉花冠层CWSI和光合参数的生育期变化，表明棉花冠层CWSI升高，Pn、Gs和LAI相应降低；不同水分处理条件下，生育期CWSI平均值分别与Ps、Gs和LAI平均值呈极显著的负相关关系（rCWSI-Pn=-0．9182＊＊，rCWSI-Gs=-0．8819＊＊，rCWSI-LAI=-0．8661＊＊，n=16），CWSI与Pn、Gs和LAI可同步反映棉花冠层水分胁迫的状况。研究结果表明，先进的红外热图像技术，提供了一种获得作物冠层表面温度的高分辨率空间信息的手段，能够消除背景干扰因素的影响，更精确的计算棉花冠层CWSI，可快速、有效、准确地监测棉花冠层的水分状况。

英文摘要：

Using Fluke infrared thermal camera obtained canopy infrared thermal images at five main growth stages of cotton in an open experimental field including 2 cotton cultivars with 4 water treatments, meanwhile, use LI-6400 portable photosynthesis system test the net photosynthesis rate（P.）, stomatal conductance（G0）, and use of LI-3 100C area meter obtained leaf area index （LAD ,respectively. Application of the image processing technology to acquire temperature of canopy sunlit leaves, and add wet artificial reference surface（WARS） temperature to empirical formulation defined by Jones, calculation of CWSI. Analysis of variation of CWSI against photosynthetic parameters P,, Gs and LAI, cotton CWSI increased and Pn, Gs and LAI reduced corre spondingly, the correlation between the average of CWSI and the average ofPn, Gs and LAI are negatively correlated （rCWSI-Pn=-0.9182＊＊,rCWSI-Gs=-0.8819＊＊,rCWSI-LAI=-0.8661＊＊,n=16） under growth season, canopy CWSI and Pn, Gs and LAI can be synchronously reflecting cotton water stress status. The result showed that advanced infrared thermal image technology offered the potential to acquire spatial information on surface temperature in high resolution. It enables exclusion of background interference factors, calculation of CWSI is more accurate and it can also rapidly, effectively and precisely monitor cotton canopy water status.