条锈病影响下冬小麦叶绿素含量的高光谱估计

叶绿素含量是在小麦长势监测中是非常重要的评估内容，尤其是在小麦受到病害影响的情况下，准确估计其叶绿素含量，有助于合理进行灾害评价。遥感高光谱技术为获取植物的生理参数提供了丰富的数据来源。笔者使用襄樊地区实测获取的受条锈病影响的小麦高光谱数据，利用回归分析的方法建立了受条锈病影响的小麦叶绿素含量与其高光谱的关系模型。经验证，模型有较好的精度。

Estimation of the content of winter wheat chlorophyll influenced by yellow rust with hyper spectrum

The content of chlorophyll is a very important assessment index in the growing situation of the wheat,especially under the condition that the wheat is influenced by the disease.So estimate its content of chlorophyll accurately is helpful to appraise the calamity rationally.The hyper spectrum technology of remote sensing has offered the abundant data source for obtaining physiological parameters of plant.Using the hyper spectrum data of wheat influenced by yellow rust in the area of Xiangfan,the method of regression analysis was used to establish relation model between the content of wheat chlorophyll and the data of wheat hyper spectrum influenced by yellow rust.The result shows that the model is satisfying.