项目名称： 小麦重金属胁迫光谱识别的细胞超微结构机理与模型研究

项目编号： No.41471279

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 天文学、地球科学

项目作者： 苏忠亮

作者单位： 青岛科技大学

项目金额： 88万元

中文摘要： 本研究拟在前人关于小麦重金属胁迫细胞超微结构、膜脂过氧化酶、抗氧化酶活性变化等研究的基础上，通过开展系统的小区控制试验，弄清小麦重金属单一/协同胁迫的细胞超微结构变化光谱响应机制。通过综合分析不同重金属胁迫下各细胞器的耐受性差异及其在可见光至红外谱段的光谱响应模式特点及各光谱参量的时相变化规律，对不同重金属胁迫类型以及重金属胁迫不同时相间的光谱可区分性进行评价。筛选并构建适于进行重金属胁迫识别的光谱模型和识别方法。在小区试验获得的数据、知识及特征、模型基础上，充分利用高光谱分辨率成像影像图谱合一的特点，提取光谱和时相等多维特征，结合高光谱图像分析技术，建立小麦重金属胁迫高光谱识别模型，使基于细胞超微结构的小麦重金属胁迫光谱识别模型在光谱维上进行空间展开应用。实现在重金属胁迫监测的同时，识别不同重金属胁迫类型。

中文关键词： 高光谱遥感；植被生物物理参数；细胞超微结构；植被生物化学参数

英文摘要： Based on the former research about heavy metal pollution stress on wheat cell ultrastructure, peroxidase and antioxidant enzymes, this research focuses on the mechanism and model of spectral identification on wheat cell ultrastructure under heavy metal pollution stress through a series of controlled plot experiments. After the comprehensive analysis of stress tolerance among different various organelles under heavy metal stress and their spectral response in the visible and infrared spectrum and remote sensing parameters among different growth stages, this research will distinguish the pollution stress caused by different kinds of heavy metals among different growth stages using spectral data. Based on the results including data, knowledge, characteristics and model acquired from the plot experiments, and the characteristics of hyper spectral data, including image map and make full use of high spectral resolution imaging characteristics, this research will extract the multidimensional characteristics both spectra and their equal changing during whole growth stages. Combined with hyper spectral image analysis technology, the multidimensional characteristics will be used to build hyper spectral identification models for wheat heavy metal pollution stress which make it is possible that the hyper spectral identification models for wheat heavy metal pollution stress would be expended on the spectral and spatial dimensions.

英文关键词： hyper-spectral remote sensing;vegetation biophysical parameters;cell ultrastructure;vegetation biochemistry parameters